new

3 years ago · 3b9839eaa6
parent cd445f1fcc
commit 3b9839eaa6
161 changed files with 1053 additions and 36 deletions
--- a/XData.csv
+++ b/XData.csv
@ -0,0 +1,838 @@
+,LOC,SM6_B(m),nN,nO,SpMax_A,nX,F04[C-N],HyWi_B(m),SdO,F03[C-N],nCp,SM6_L,C%,B03[C-Cl],J_Dz(e),SpPosA_B(p),B04[C-Br],Me,TI2_L,nCb-,nHM,nArNO2,nCrt,Mi,Psi_i_A,SpMax_L,nHDon,nArCOOR,C-026,F03[C-O],SdssC,nCIR,F01[N-N],NssssC,Psi_i_1d,nN-N,SpMax_B(m),B01[C-Br],F02[C-N],N-073,nCRX3
+0,1.185,9.085,0,0,2.263,3,0,3.642,0.0,0,1,9.902,46.7,1,3.1934,1.359,0,1.034,1.476,3,3,0,0,1.1,2.483,4.825,0,0,2,0,0.0,1,0,0,0.014,0,4.054,0,0,0,0
+1,0.0,8.179,2,0,2.194,0,6,3.526,0.0,6,0,10.054,35.1,0,1.8929,1.209,0,0.974,4.13,0,0,0,0,1.139,1.744,4.562,0,0,0,0,0.0,2,0,0,0.0,0,3.489,0,4,0,0
+2,0.762,8.297,0,3,2.424,0,0,3.339,21.884,0,0,10.226,42.1,0,2.3934,1.204,0,1.027,1.027,0,0,0,2,1.12,2.773,4.982,0,0,0,8,-0.686,3,0,0,0.004,0,3.693,0,0,0,0
+3,1.747,9.673,0,2,2.69,23,0,4.645,9.855,0,1,12.353,31.6,0,7.7233,0.906,0,1.291,5.094,0,0,0,0,1.348,5.741,6.316,1,0,0,2,-4.617,0,0,11,0.0,0,3.993,0,0,0,1
+4,1.824,9.825,0,2,2.7,27,0,4.795,9.894,0,1,12.519,31.8,0,7.9184,0.906,0,1.292,5.891,0,0,0,0,1.35,5.742,6.33,1,0,0,2,-4.724,0,0,13,0.0,0,4.005,0,0,0,1
+5,0.799,9.676,0,0,2.414,6,0,4.045,0.0,0,0,10.434,50.0,1,3.9153,1.408,0,1.133,0.873,6,6,0,0,1.076,2.889,5.236,0,0,6,0,0.0,1,0,0,0.004,0,4.337,0,0,0,0
+6,1.131,8.78,0,1,2.491,0,0,3.769,0.0,0,9,11.278,36.7,0,3.7026,1.265,0,0.971,1.648,4,0,0,0,1.131,2.022,5.522,1,0,1,4,0.0,1,0,3,0.0,0,3.876,0,0,0,0
+7,0.0,7.887,0,0,2.0,0,0,3.301,0.0,0,0,9.314,40.0,0,2.3041,1.274,0,0.965,1.244,0,0,0,0,1.125,1.75,4.0,0,0,0,0,0.0,1,0,0,0.004,0,3.237,0,0,0,0
+8,1.702,8.624,0,4,2.455,0,0,3.844,0.0,0,9,11.324,30.9,0,3.4572,1.185,0,0.988,2.753,0,0,0,1,1.144,2.04,5.511,0,0,0,14,0.0,1,0,4,0.0,0,3.582,0,0,0,0
+9,0.0,14.016,0,0,2.562,0,0,4.75,0.0,0,0,11.103,53.3,0,1.9414,1.455,0,0.97,1.471,4,1,0,0,1.085,1.883,5.798,0,0,0,0,0.0,4,0,0,0.0,0,10.329,0,0,0,0
+10,1.07,9.32,3,3,2.461,0,9,4.167,22.251,10,6,11.333,39.2,0,2.8245,1.256,0,1.0,4.053,6,0,1,0,1.131,2.481,5.451,1,0,4,7,0.0,2,1,2,0.0,0,3.91,0,8,0,0
+11,1.162,8.693,0,0,2.449,0,0,3.705,0.0,0,9,11.208,37.5,0,3.493,1.28,0,0.964,1.726,3,0,0,0,1.13,1.819,5.449,0,0,0,0,0.0,1,0,3,0.0,0,3.814,0,0,0,0
+12,0.673,12.284,0,0,2.316,2,0,4.426,0.0,0,0,10.289,54.5,0,2.4237,1.425,1,0.994,2.38,4,2,0,0,1.08,2.012,4.88,0,0,2,0,0.0,2,0,0,-0.001,0,6.881,1,0,0,0
+13,1.059,9.318,0,2,2.494,0,0,4.274,0.0,0,12,11.72,38.7,0,2.7485,1.271,0,0.975,3.879,8,0,0,0,1.127,2.059,5.495,2,0,2,8,0.0,2,0,4,0.0,0,3.895,0,0,0,0
+14,0.953,9.741,0,1,2.52,5,0,4.278,0.0,0,1,11.16,48.3,1,2.7059,1.34,0,1.039,2.321,4,5,0,0,1.098,2.586,5.87,1,0,2,4,0.0,2,0,2,0.0,0,4.28,0,0,0,1
+15,0.749,9.843,0,1,2.859,6,0,4.308,0.0,0,0,11.637,44.4,1,1.8789,1.332,0,1.054,1.117,0,6,0,6,1.103,2.355,5.998,0,0,0,3,0.642,15,0,3,0.0,0,4.405,0,0,0,0
+16,0.76,9.796,0,0,2.824,6,0,4.268,0.0,0,0,11.555,46.2,1,2.1119,1.378,0,1.043,1.013,0,6,0,6,1.099,2.366,5.997,0,0,0,0,0.654,10,0,3,0.0,0,4.404,0,0,0,0
+17,0.752,9.952,0,0,2.805,8,0,4.378,0.0,0,0,11.528,41.7,1,2.3808,1.373,0,1.074,1.076,0,8,0,4,1.102,2.6,5.995,0,0,0,0,0.394,6,0,3,0.0,0,4.407,0,0,0,0
+18,1.061,8.961,0,1,2.483,0,0,3.914,0.0,0,6,11.182,42.6,0,2.7618,1.288,0,0.975,2.176,5,0,0,0,1.119,2.04,5.494,1,0,1,4,0.0,2,0,2,0.0,0,3.888,0,0,0,0
+19,0.0,9.423,2,0,2.418,0,7,4.128,0.0,6,0,10.839,38.8,0,1.6864,1.308,0,0.979,3.219,2,2,0,0,1.119,1.71,5.029,0,0,0,0,0.0,5,0,0,0.0,0,4.348,0,7,0,0
+20,1.907,9.84,0,1,2.255,8,0,4.256,0.0,0,2,10.8,28.6,1,4.3135,1.321,0,1.1,4.275,0,8,0,0,1.127,2.97,5.292,0,0,0,2,0.0,0,0,2,0.001,0,4.277,0,0,0,2
+21,0.881,9.097,0,0,2.264,3,0,3.588,0.0,0,0,9.863,50.0,1,3.4643,1.388,0,1.052,0.95,3,3,0,0,1.09,2.593,4.912,0,0,3,0,0.0,1,0,0,-0.025,0,4.139,0,0,0,0
+22,0.861,9.329,0,0,2.318,4,0,3.764,0.0,0,0,10.084,50.0,1,3.5931,1.398,0,1.079,0.984,4,4,0,0,1.085,2.711,5.027,0,0,4,0,0.0,1,0,0,0.014,0,4.211,0,0,0,0
+23,0.861,9.328,0,0,2.303,4,0,3.764,0.0,0,0,10.06,50.0,1,3.5218,1.399,0,1.079,1.047,4,4,0,0,1.085,2.711,4.935,0,0,4,0,0.0,1,0,0,0.014,0,4.174,0,0,0,0
+24,0.832,9.517,0,0,2.365,5,0,3.915,0.0,0,0,10.265,50.0,1,3.736,1.405,0,1.106,0.952,5,5,0,0,1.08,2.808,5.119,0,0,5,0,0.0,1,0,0,-0.008,0,4.27,0,0,0,0
+25,0.954,9.572,1,3,2.368,3,1,4.145,21.048,2,0,10.713,48.0,1,2.6068,1.308,0,1.064,3.414,6,3,1,0,1.105,2.833,5.035,0,0,6,8,0.0,2,0,0,0.0,0,4.11,0,2,0,0
+26,0.447,8.579,0,1,2.411,0,0,3.783,0.0,0,0,10.642,40.0,0,1.8559,1.238,0,0.974,2.814,3,0,0,2,1.125,1.825,5.149,1,0,1,4,0.0,3,0,0,0.0,0,3.767,0,0,0,0
+27,0.0,8.453,0,0,2.236,0,0,3.478,0.0,0,0,9.971,52.0,0,2.1615,1.336,0,0.972,2.829,2,0,0,0,1.1,1.91,4.675,0,0,0,0,0.0,2,0,0,0.001,0,3.633,0,0,0,0
+28,0.749,9.615,2,0,2.398,4,2,4.178,0.0,4,0,10.817,44.8,1,2.4912,1.336,0,1.028,3.174,8,4,0,0,1.113,2.488,5.109,4,0,6,0,0.0,2,0,0,0.0,0,4.124,0,4,0,0
+29,0.0,8.877,1,0,2.385,0,4,3.772,0.0,5,0,10.481,53.3,0,2.1704,1.338,0,0.98,2.901,4,0,0,0,1.1,1.951,5.045,1,0,2,0,0.0,4,0,0,0.0,0,3.886,0,4,1,0
+30,2.117,7.767,3,0,2.084,0,8,3.242,0.0,0,0,9.797,25.7,0,3.6265,1.182,0,0.975,3.798,0,0,0,0,1.161,1.833,4.461,0,0,0,0,0.0,0,0,0,-0.007,0,3.216,0,4,0,0
+31,0.811,6.636,2,0,1.732,0,0,2.197,0.0,0,0,8.318,16.7,0,2.7345,1.104,0,0.988,1.0,0,0,0,0,1.187,2.5,4.0,2,0,0,0,0.0,0,1,0,-0.572,1,3.02,0,2,0,0
+32,1.352,11.599,1,4,2.264,1,0,3.855,19.844,0,2,10.182,20.0,0,4.8614,1.154,0,1.086,1.459,0,1,0,0,1.162,3.889,5.382,2,0,0,6,0.0,0,0,1,0.051,0,6.88,1,2,0,0
+33,0.918,6.033,0,1,1.414,0,0,1.926,0.0,0,0,6.594,22.2,0,2.0093,1.102,0,0.998,1.333,0,0,0,0,1.162,2.5,3.0,0,0,0,0,0.0,0,0,0,0.861,0,2.731,0,0,0,0
+34,1.379,7.198,0,1,2.0,0,0,2.72,0.0,0,4,9.222,28.6,0,3.4168,1.18,0,0.977,2.133,0,0,0,0,1.148,2.024,4.414,0,0,0,0,0.0,0,0,0,0.124,0,3.189,0,0,0,0
+35,2.281,7.323,0,3,1.902,0,0,2.995,0.0,0,0,8.743,26.1,0,3.1116,1.107,0,1.007,3.685,0,0,0,0,1.154,2.278,3.879,0,0,0,0,0.0,0,0,0,0.047,0,3.047,0,0,0,0
+36,1.0,8.467,0,0,1.618,0,0,2.78,0.0,0,0,7.408,20.0,0,2.1658,1.396,0,0.98,1.707,0,2,0,0,1.109,1.917,3.414,0,0,0,0,0.0,0,0,0,-0.501,0,4.066,0,0,0,0
+37,0.827,7.977,0,4,2.236,0,0,3.327,0.0,0,4,10.09,28.6,0,3.0634,1.118,0,1.014,1.026,0,0,0,0,1.149,2.278,4.732,0,0,0,8,0.0,1,0,0,0.004,0,3.426,0,0,0,0
+38,0.971,14.218,1,1,1.848,1,0,4.279,9.583,0,1,8.597,22.2,0,3.021,1.495,0,1.029,1.542,0,1,0,0,1.14,3.257,4.17,2,0,0,0,-0.259,0,0,0,0.396,0,10.692,0,1,0,0
+39,1.792,8.44,4,0,2.247,0,0,3.388,0.0,10,4,10.573,33.3,0,4.9627,1.257,0,0.998,3.06,0,0,0,0,1.152,2.792,5.248,0,0,0,0,0.0,0,1,2,-0.008,0,3.648,0,10,0,0
+40,1.0,8.128,1,0,1.618,0,0,2.634,0.0,0,0,7.408,28.6,0,3.4592,1.384,0,1.009,1.707,0,1,0,0,1.119,2.792,3.414,0,0,0,0,0.0,0,0,0,-0.642,0,3.844,0,0,0,0
+41,0.918,5.93,2,0,1.414,0,0,1.922,0.0,0,0,6.594,11.1,0,1.925,1.033,0,0.997,1.333,0,0,0,0,1.203,2.833,3.0,3,0,0,0,0.0,0,1,0,0.852,1,2.684,0,1,0,0
+42,1.261,8.517,0,0,2.214,1,0,3.37,0.0,0,1,9.714,47.4,1,2.9372,1.331,0,0.986,1.783,2,1,0,0,1.106,2.194,4.641,0,0,0,0,0.0,1,0,0,0.013,0,3.729,0,0,0,0
+43,0.789,9.574,0,3,2.534,4,0,4.054,22.449,0,0,10.761,53.3,1,3.1334,1.322,0,1.136,1.13,6,4,0,0,1.082,3.152,5.325,0,2,4,8,-1.749,3,0,0,0.0,0,4.276,0,0,0,0
+44,1.187,8.78,0,0,2.222,2,0,3.439,0.0,0,1,9.668,46.7,1,3.1253,1.346,0,1.012,1.358,2,2,0,0,1.103,2.34,4.783,0,0,1,0,0.0,1,0,0,-0.025,0,3.927,0,0,0,0
+45,0.881,8.103,1,0,2.264,0,1,3.087,0.0,4,2,9.863,40.0,0,3.2934,1.285,0,0.976,0.95,3,0,0,0,1.129,2.111,4.912,2,0,1,0,0.0,1,0,0,-0.024,0,3.72,0,2,0,0
+46,0.875,7.973,2,0,2.194,0,2,2.997,0.0,4,0,9.579,37.5,0,3.2417,1.25,0,0.991,0.854,2,0,0,0,1.14,2.417,4.732,4,0,2,0,0.0,1,0,0,0.045,0,3.655,0,4,0,0
+47,0.875,7.954,1,0,2.175,0,2,2.984,0.0,2,1,9.54,41.2,0,3.1276,1.291,0,0.979,1.069,2,0,0,0,1.127,2.167,4.596,2,0,1,0,0.0,1,0,0,0.043,0,3.632,0,2,0,0
+48,0.875,8.463,1,0,2.17,1,1,3.202,0.0,2,0,9.54,42.9,1,3.1562,1.308,0,1.005,1.14,2,1,0,0,1.121,2.431,4.562,2,0,2,0,0.0,1,0,0,0.045,0,3.87,0,2,0,0
+49,1.16,8.586,1,2,2.318,0,2,3.356,20.759,3,2,10.122,40.0,0,3.5846,1.26,0,1.015,1.572,3,0,1,0,1.129,2.818,5.029,0,0,1,4,0.0,1,0,0,-0.008,0,3.882,0,2,0,0
+50,1.273,8.81,1,2,2.251,1,1,3.507,20.346,2,1,9.947,41.2,1,3.1979,1.26,0,1.043,1.951,2,1,1,0,1.124,2.995,4.782,0,0,1,4,0.0,1,0,0,-0.008,0,3.848,0,2,0,0
+51,1.16,9.166,2,0,2.327,3,3,3.71,0.0,4,0,10.116,37.5,1,3.5241,1.319,0,1.052,1.268,4,3,0,0,1.13,2.682,5.004,3,0,4,0,0.0,1,1,0,-0.008,1,4.102,0,3,0,0
+52,1.16,8.244,0,1,2.318,0,0,3.272,0.0,0,3,10.388,40.0,0,3.1083,1.263,0,0.981,1.782,2,0,0,0,1.125,2.235,5.318,1,0,1,2,0.0,1,0,1,-0.007,0,3.702,0,0,0,0
+53,0.881,8.114,0,1,2.246,0,0,3.1,0.0,0,2,9.833,42.1,0,3.2498,1.275,0,0.987,1.06,3,0,0,0,1.12,2.333,4.807,1,0,1,3,0.0,1,0,0,-0.024,0,3.711,0,0,0,0
+54,1.187,8.042,1,1,2.2,0,1,3.105,0.0,2,0,9.631,38.9,0,3.1871,1.231,0,0.998,1.487,2,0,0,0,1.132,2.315,4.642,2,0,2,2,0.0,1,0,0,-0.025,0,3.648,0,2,0,0
+55,1.16,8.899,1,3,2.305,1,1,3.528,20.322,2,0,10.099,40.0,1,3.6579,1.237,0,1.078,1.553,3,1,1,0,1.127,3.374,4.965,1,0,3,6,0.0,1,0,0,-0.008,0,3.972,0,2,0,0
+56,1.455,8.196,0,2,2.315,0,0,3.287,0.0,0,2,10.315,39.1,0,3.1068,1.217,0,0.998,1.897,1,0,0,0,1.127,2.402,5.365,1,0,0,5,0.0,1,0,1,-0.008,0,3.657,0,0,0,0
+57,1.187,8.631,1,0,2.222,1,2,3.333,0.0,2,0,9.668,53.8,1,3.2813,1.363,0,1.015,1.358,2,1,0,0,1.098,2.66,4.783,0,0,1,0,0.0,1,0,0,-0.026,0,3.925,0,1,0,0
+58,0.0,7.482,0,0,2.0,0,0,2.914,0.0,0,0,8.908,40.0,0,2.2857,1.295,0,0.965,0.854,0,0,0,0,1.125,1.75,4.0,0,0,0,0,0.0,1,0,0,0.039,0,3.233,0,0,0,0
+59,1.261,7.476,2,0,2.222,0,4,3.084,0.0,4,2,9.715,28.6,0,2.2806,1.159,0,0.974,1.695,0,0,0,2,1.154,1.967,4.679,4,0,0,0,0.0,1,0,0,0.012,0,3.245,0,2,0,0
+60,1.185,7.747,0,2,2.263,0,0,3.15,0.0,0,0,9.902,33.3,0,2.4725,1.177,0,0.993,1.476,0,0,0,1,1.139,2.55,4.825,2,0,0,4,0.0,1,0,0,0.013,0,3.367,0,0,0,0
+61,0.648,9.532,0,0,2.404,2,0,3.897,0.0,0,0,10.62,48.0,1,2.1816,1.449,0,0.989,2.451,2,3,0,0,1.084,2.15,5.509,0,0,2,0,0.0,2,0,0,0.0,0,4.592,0,0,0,0
+62,1.125,9.15,2,4,2.441,0,6,3.793,42.927,6,0,10.598,45.5,0,3.1674,1.262,0,1.058,1.832,4,0,2,0,1.121,3.167,5.2,0,0,2,8,0.0,3,0,0,0.0,0,4.033,0,4,0,0
+63,0.73,8.577,0,2,2.393,0,0,3.46,22.384,0,0,10.265,55.6,0,2.7331,1.294,0,1.017,1.026,2,0,0,0,1.092,2.722,5.103,0,0,0,6,-0.185,3,0,0,-0.002,0,3.843,0,0,0,0
+64,0.477,9.22,4,2,2.356,0,6,4.134,23.374,10,0,10.907,42.2,0,1.403,1.215,0,1.003,5.207,4,0,0,0,1.127,2.26,4.803,2,0,2,6,-0.069,4,0,0,0.0,0,3.729,0,4,0,0
+65,0.862,7.794,2,0,2.115,0,0,2.741,0.0,0,1,9.067,33.3,0,3.3382,1.289,0,0.998,0.956,0,0,0,0,1.152,2.194,4.303,1,0,0,0,0.0,1,0,0,0.137,0,3.627,0,4,1,0
+66,1.125,7.967,1,0,2.136,0,0,3.013,0.0,2,0,9.311,46.7,0,3.1284,1.299,0,0.984,1.481,0,0,0,0,1.116,2.208,4.499,0,0,0,0,0.0,1,0,0,0.045,0,3.608,0,3,0,0
+67,1.591,8.325,2,4,2.407,0,2,3.764,0.0,2,2,10.691,28.9,0,1.89,1.132,0,1.003,3.261,0,0,0,0,1.151,2.154,5.361,4,0,0,16,0.0,2,0,1,0.0,0,3.495,0,2,0,0
+68,1.013,9.511,2,2,2.526,0,4,4.113,24.788,2,0,10.917,58.3,0,2.228,1.377,0,1.037,1.706,2,2,0,0,1.07,2.8,5.336,0,0,0,6,0.284,6,0,0,0.0,0,4.238,0,2,0,0
+69,1.125,7.32,1,1,2.136,0,0,2.889,0.0,0,1,9.311,28.6,0,2.3906,1.131,0,0.987,1.481,0,0,0,0,1.152,1.875,4.499,0,0,0,0,0.0,1,0,0,0.041,0,3.229,0,3,0,0
+70,1.409,7.385,3,0,2.149,0,3,2.994,0.0,0,1,9.391,25.0,0,2.2821,1.129,0,0.984,2.036,0,0,0,0,1.166,1.944,4.517,3,0,0,0,0.0,1,0,0,-0.023,0,3.219,0,6,0,0
+71,0.762,8.272,1,2,2.424,0,2,3.329,22.106,2,0,10.226,40.0,0,2.3549,1.216,0,1.015,1.027,0,0,0,2,1.129,2.682,4.982,1,0,0,6,-0.186,3,0,0,0.004,0,3.673,0,2,0,0
+72,0.875,8.812,1,0,2.175,2,0,3.382,0.0,1,0,9.54,45.5,1,3.4161,1.35,0,1.047,1.069,0,2,0,0,1.111,2.569,4.596,0,0,0,0,0.0,1,0,0,0.047,0,3.992,0,2,0,0
+73,0.906,8.818,1,1,2.278,1,0,3.349,10.529,0,0,9.773,33.3,1,3.0402,1.331,0,1.05,1.017,0,2,0,0,1.117,2.785,4.651,0,0,0,2,0.498,1,0,0,0.046,0,4.116,0,2,0,0
+74,0.664,8.695,1,1,2.376,0,2,3.395,10.934,2,0,10.037,46.7,0,2.7189,1.327,0,1.018,1.057,2,1,0,0,1.097,2.433,4.923,1,0,1,2,0.014,3,0,0,-0.008,0,4.009,0,2,0,0
+75,1.0,8.243,0,0,1.618,2,0,2.889,0.0,0,2,7.408,25.0,0,2.2062,1.28,0,1.037,1.707,0,2,0,0,1.142,2.806,3.414,0,0,0,0,0.0,0,0,0,-0.57,0,3.676,0,0,0,0
+76,1.185,8.087,0,0,2.267,0,0,3.164,0.0,0,3,9.911,41.7,0,3.0313,1.299,0,0.966,1.563,2,0,0,0,1.121,1.867,4.923,0,0,0,0,0.0,1,0,0,0.012,0,3.669,0,0,0,0
+77,1.16,9.499,2,2,2.311,0,3,3.492,21.362,4,0,10.388,31.6,0,3.4071,1.244,0,1.031,1.833,2,1,0,0,1.136,3.114,5.313,4,0,2,4,0.0,1,0,0,-0.008,0,4.725,0,3,0,0
+78,0.703,8.803,0,3,2.363,0,0,3.72,11.937,0,0,10.481,50.0,0,2.4738,1.267,0,1.015,2.723,4,0,0,0,1.104,2.708,5.072,2,0,2,9,-0.266,2,0,0,0.0,0,3.827,0,0,0,0
+79,0.648,8.658,0,2,2.314,0,0,3.633,0.0,0,0,10.338,48.1,0,2.3426,1.281,0,0.998,2.863,4,0,0,0,1.108,2.411,4.912,2,0,2,6,0.0,2,0,0,0.0,0,3.733,0,0,0,0
+80,1.299,7.401,0,0,2.149,0,0,2.821,0.0,0,5,10.01,30.8,0,3.3889,1.246,0,0.96,2.097,0,0,0,0,1.144,1.76,5.125,0,0,0,0,0.0,0,0,1,-0.062,0,3.283,0,0,0,0
+81,0.722,9.115,0,0,2.0,4,0,3.4,0.0,0,1,9.657,20.0,0,3.756,1.407,0,1.212,0.8,0,4,0,0,1.121,3.539,5.0,0,0,0,0,0.0,0,0,1,0.42,0,4.385,0,0,0,0
+82,0.811,9.531,0,0,2.303,6,0,3.827,0.0,0,2,10.505,25.0,0,4.6399,1.392,0,1.199,1.411,0,6,0,0,1.114,3.396,5.646,0,0,0,0,0.0,0,0,2,-0.086,0,4.444,0,0,0,2
+83,0.811,12.274,0,0,2.303,6,0,4.249,0.0,0,2,10.505,25.0,0,4.8079,1.138,0,1.27,1.411,0,2,0,0,1.286,5.0,5.646,0,0,0,0,0.0,0,0,2,-0.098,0,6.925,1,0,0,2
+84,1.837,7.316,1,0,2.074,0,0,2.939,0.0,2,4,9.454,28.6,0,3.4355,1.173,0,0.966,2.57,0,0,0,0,1.151,1.796,4.523,1,0,0,0,0.0,0,0,0,0.038,0,3.177,0,4,0,0
+85,1.5,8.058,4,2,2.0,0,2,3.044,19.316,0,0,9.309,16.7,0,4.368,1.095,0,1.088,2.682,0,0,0,0,1.201,3.917,4.343,4,0,0,0,-2.076,0,1,0,-0.099,0,3.563,0,2,0,0
+86,2.074,8.938,3,2,2.175,0,4,3.693,21.065,2,0,10.071,24.1,0,4.1851,1.233,0,1.014,3.255,0,2,0,0,1.146,2.81,4.737,4,0,0,2,-0.804,0,0,0,-0.002,0,3.856,0,2,0,0
+87,3.113,9.274,0,7,2.258,0,0,4.111,12.646,0,3,10.545,27.7,0,4.758,1.156,0,0.999,4.518,0,1,0,0,1.146,2.204,5.262,0,0,0,12,0.0,0,0,0,0.0,0,4.415,0,0,0,0
+88,2.205,14.005,0,0,2.303,0,0,4.471,0.0,0,4,10.331,30.2,0,4.0653,1.366,0,0.957,1.951,0,1,0,0,1.134,1.554,5.333,0,0,0,0,0.0,0,0,0,0.0,0,10.319,0,0,0,0
+89,1.187,8.078,0,0,2.194,0,0,3.102,0.0,0,1,9.642,47.4,0,2.9815,1.324,0,0.969,1.659,1,0,0,0,1.109,2.037,4.732,0,0,0,0,1.121,1,0,0,-0.024,0,3.632,0,0,0,0
+90,0.881,8.09,0,0,2.264,0,0,3.075,0.0,0,3,9.863,42.9,0,3.2478,1.32,0,0.967,0.95,3,0,0,0,1.119,1.889,4.912,0,0,0,0,0.0,1,0,0,-0.023,0,3.714,0,0,0,0
+91,1.261,8.107,0,0,2.247,0,0,3.188,0.0,0,1,9.749,45.5,0,3.0766,1.31,0,0.968,1.436,2,0,0,0,1.113,1.983,4.828,0,0,0,0,0.0,1,0,0,0.013,0,3.665,0,0,0,0
+92,1.261,8.015,0,0,2.214,0,0,3.157,0.0,0,2,9.714,41.7,0,2.7973,1.279,0,0.966,1.783,2,0,0,0,1.121,1.833,4.641,0,0,0,0,0.0,1,0,0,0.012,0,3.623,0,0,0,0
+93,1.261,8.015,0,0,2.222,0,0,3.157,0.0,0,2,9.715,41.7,0,2.8711,1.283,0,0.966,1.695,2,0,0,0,1.121,1.833,4.679,0,0,0,0,0.0,1,0,0,0.012,0,3.627,0,0,0,0
+94,1.261,8.189,0,0,2.247,0,0,3.219,0.0,0,0,9.749,50.0,0,3.1972,1.335,0,0.971,1.436,2,0,0,0,1.104,2.133,4.828,0,0,0,0,0.0,1,0,0,0.013,0,3.687,0,0,0,0
+95,1.187,11.597,0,0,2.194,1,0,3.844,0.0,0,0,9.642,50.0,0,3.0207,1.395,1,0.985,1.659,1,1,0,0,1.094,2.12,4.732,0,0,0,0,0.933,1,0,0,-0.024,0,6.881,1,0,0,0
+96,1.409,11.589,0,0,2.149,1,0,3.84,0.0,0,0,9.391,50.0,0,2.8827,1.389,1,0.985,2.036,1,1,0,0,1.094,2.046,4.517,0,0,0,0,0.0,1,0,0,-0.024,0,6.872,1,0,0,0
+97,0.875,8.792,0,0,2.175,2,0,3.373,0.0,0,0,9.54,50.0,1,3.2349,1.377,0,1.025,1.069,2,2,0,0,1.094,2.444,4.596,0,0,2,0,0.0,1,0,0,0.045,0,3.973,0,0,0,0
+98,0.875,8.792,0,0,2.17,2,0,3.373,0.0,0,0,9.54,50.0,1,3.1831,1.372,0,1.025,1.14,2,2,0,0,1.094,2.444,4.562,0,0,2,0,0.0,1,0,0,0.045,0,3.955,0,0,0,0
+99,0.875,8.794,0,0,2.194,2,0,3.373,0.0,0,0,9.579,50.0,1,3.3007,1.374,0,1.025,0.854,2,2,0,0,1.094,2.444,4.732,0,0,2,0,0.0,1,0,0,0.045,0,4.034,0,0,0,0
+100,0.875,12.272,0,0,2.17,2,0,4.225,0.0,0,0,9.54,50.0,0,3.1356,1.482,1,1.009,1.14,2,2,0,0,1.077,2.104,4.562,0,0,2,0,0.0,1,0,0,0.043,0,6.886,1,0,0,0
+101,0.881,8.857,0,0,2.246,2,0,3.444,0.0,0,1,9.833,46.7,1,3.3045,1.366,0,1.012,1.06,3,2,0,0,1.103,2.358,4.807,0,0,2,0,0.0,1,0,0,-0.025,0,4.005,0,0,0,0
+102,0.881,8.859,0,0,2.264,2,0,3.444,0.0,0,1,9.863,46.7,1,3.3884,1.365,0,1.012,0.95,3,2,0,0,1.103,2.358,4.912,0,0,2,0,0.0,1,0,0,-0.025,0,4.025,0,0,0,0
+103,1.187,8.001,1,0,2.2,0,2,3.08,0.0,2,1,9.631,40.0,0,3.0494,1.275,0,0.976,1.487,2,0,0,0,1.129,1.981,4.642,1,0,1,0,0.0,1,0,0,-0.024,0,3.634,0,2,0,0
+104,0.0,8.469,1,0,2.236,0,2,3.486,0.0,4,0,9.971,50.0,0,2.2988,1.315,0,0.98,2.829,2,0,0,0,1.107,1.987,4.675,1,0,2,0,0.0,2,0,0,0.001,0,3.648,0,4,1,0
+105,0.881,8.863,1,0,2.246,2,1,3.453,0.0,2,0,9.833,42.9,1,3.3502,1.332,0,1.029,1.06,3,2,0,0,1.117,2.58,4.807,2,0,3,0,0.0,1,0,0,-0.025,0,4.007,0,2,0,0
+106,0.881,8.863,1,0,2.246,2,1,3.453,0.0,2,0,9.833,42.9,1,3.3499,1.334,0,1.029,1.06,3,2,0,0,1.117,2.58,4.807,2,0,3,0,0.0,1,0,0,-0.025,0,3.996,0,2,0,0
+107,0.521,8.678,3,0,2.236,0,7,3.639,0.0,10,0,10.185,46.2,0,2.3407,1.285,0,0.994,3.626,3,0,0,0,1.121,2.2,4.649,2,0,3,0,0.0,2,1,0,0.0,0,3.712,0,8,0,0
+108,1.185,8.508,2,2,2.267,0,2,3.288,20.295,4,0,9.911,37.5,0,3.5484,1.225,0,1.039,1.563,2,0,1,0,1.14,3.133,4.923,2,0,2,4,0.0,1,0,0,0.015,0,3.857,0,4,0,0
+109,1.16,8.892,2,2,2.305,1,2,3.52,20.482,4,0,10.099,37.5,1,3.6277,1.249,0,1.059,1.553,3,1,1,0,1.137,3.192,4.965,2,0,3,4,0.0,1,0,0,-0.008,0,3.969,0,4,0,0
+110,1.197,9.191,3,4,2.38,1,3,3.761,41.432,6,0,10.456,33.3,1,3.9386,1.217,0,1.101,1.74,4,1,2,0,1.15,3.627,5.103,2,0,4,8,0.0,1,0,0,0.001,0,4.048,0,6,0,0
+111,1.185,8.825,1,2,2.267,1,1,3.445,20.286,2,0,9.911,42.9,1,3.5714,1.273,0,1.061,1.563,2,1,1,0,1.121,3.144,4.923,0,0,2,4,0.0,1,0,0,0.015,0,3.988,0,2,0,0
+112,1.258,8.854,2,4,2.323,0,2,3.513,40.909,4,0,10.159,37.5,0,3.8356,1.204,0,1.087,1.711,2,0,2,0,1.141,3.611,5.04,0,0,2,8,0.0,1,0,0,0.005,0,3.946,0,4,0,0
+113,1.23,8.914,2,4,2.351,0,3,3.576,41.436,4,1,10.309,36.8,0,3.8515,1.216,0,1.067,1.581,3,0,2,0,1.14,3.462,5.068,0,0,2,8,0.0,1,0,0,-0.002,0,3.962,0,4,0,0
+114,1.23,8.914,2,4,2.338,0,2,3.576,41.299,5,1,10.309,36.8,0,3.7359,1.216,0,1.067,1.873,3,0,2,0,1.14,3.462,5.006,0,0,2,8,0.0,1,0,0,-0.002,0,3.936,0,4,0,0
+115,1.16,8.886,1,2,2.292,1,1,3.512,20.423,2,1,10.099,41.2,1,3.4879,1.278,0,1.043,1.696,3,1,1,0,1.124,3.01,4.895,0,0,2,4,0.0,1,0,0,-0.008,0,3.974,0,2,0,0
+116,1.197,9.077,1,2,2.403,4,1,3.76,20.484,3,1,10.666,41.2,1,3.7849,1.15,0,1.133,1.679,3,1,1,0,1.184,4.026,5.402,0,0,2,4,0.0,1,0,1,0.001,0,3.991,0,2,0,1
+117,1.23,9.141,2,4,2.338,1,2,3.703,41.044,4,0,10.309,37.5,1,3.7801,1.231,0,1.108,1.873,3,1,2,0,1.137,3.624,5.006,0,0,3,8,0.0,1,0,0,-0.003,0,4.032,0,4,0,0
+118,1.16,9.118,1,2,2.292,2,1,3.647,20.337,2,0,10.099,42.9,1,3.54,1.296,0,1.084,1.696,3,2,1,0,1.117,3.202,4.895,0,0,3,4,0.0,1,0,0,-0.008,0,4.073,0,2,0,0
+119,1.16,9.118,1,2,2.303,2,1,3.647,20.422,2,0,10.099,42.9,1,3.5995,1.299,0,1.084,1.602,3,2,1,0,1.117,3.202,4.958,0,0,3,4,0.0,1,0,0,-0.008,0,4.057,0,2,0,0
+120,0.875,8.719,3,0,2.358,0,10,3.695,0.0,8,0,10.386,44.8,0,2.6361,1.287,0,0.99,2.298,2,0,0,0,1.123,2.25,5.098,3,0,2,0,0.011,2,0,0,0.0,0,3.746,0,4,1,0
+121,1.185,8.228,0,1,2.236,0,0,3.217,0.0,0,1,9.882,45.0,0,3.0583,1.288,0,0.987,1.74,2,0,0,0,1.114,2.4,4.77,1,0,1,2,1.014,1,0,0,0.014,0,3.69,0,0,0,0
+122,1.455,8.152,0,1,2.282,0,0,3.266,0.0,0,2,9.974,40.0,0,2.9807,1.253,0,0.981,1.887,2,0,0,0,1.125,2.197,4.947,1,0,1,3,0.0,1,0,0,-0.007,0,3.683,0,0,0,0
+123,1.455,8.148,0,1,2.251,0,0,3.266,0.0,0,2,9.947,40.0,0,2.8459,1.25,0,0.981,2.041,2,0,0,0,1.125,2.197,4.805,1,0,1,2,0.0,1,0,0,-0.007,0,3.657,0,0,0,0
+124,1.571,8.48,0,1,2.378,0,0,3.547,0.0,0,5,10.843,37.8,0,2.9274,1.265,0,0.974,2.74,2,0,0,0,1.129,2.089,5.459,1,0,1,2,0.0,1,0,2,-0.001,0,3.704,0,0,0,0
+125,3.025,8.397,0,1,2.236,0,0,3.74,0.0,0,1,10.128,36.7,0,1.9089,1.238,0,0.971,6.687,2,0,0,0,1.131,1.886,4.793,1,0,1,3,0.0,1,0,0,0.0,0,3.657,0,0,0,0
+126,1.494,8.588,0,1,2.436,0,0,3.66,0.0,0,6,10.995,37.2,0,3.3208,1.245,0,0.972,2.399,3,0,0,0,1.13,2.029,5.466,1,0,1,3,0.0,1,0,2,0.0,0,3.798,0,0,0,0
+127,1.161,8.548,0,1,2.417,0,0,3.551,0.0,0,6,10.929,37.8,0,3.3311,1.265,0,0.974,2.084,3,0,0,0,1.129,2.1,5.422,1,0,1,3,0.0,1,0,2,-0.001,0,3.799,0,0,0,0
+128,1.23,8.348,0,1,2.358,0,0,3.419,0.0,0,4,10.328,38.7,0,3.2259,1.26,0,0.977,1.856,3,0,0,0,1.127,2.128,5.102,1,0,1,4,0.0,1,0,0,-0.002,0,3.765,0,0,0,0
+129,1.124,8.354,0,1,2.368,0,0,3.351,0.0,0,4,10.524,39.3,0,3.2786,1.266,0,0.978,1.671,3,0,0,0,1.126,2.188,5.375,1,0,1,3,0.0,1,0,1,0.004,0,3.766,0,0,0,0
+130,1.16,8.236,0,1,2.303,0,0,3.272,0.0,0,3,10.099,40.0,0,3.1448,1.268,0,0.981,1.602,3,0,0,0,1.125,2.212,4.958,1,0,1,3,0.0,1,0,0,-0.007,0,3.731,0,0,0,0
+131,1.194,8.65,0,1,2.463,0,0,3.664,0.0,0,7,11.033,37.2,0,3.563,1.253,0,0.972,1.828,4,0,0,0,1.13,2.039,5.489,1,0,1,4,0.0,1,0,2,0.0,0,3.852,0,0,0,0
+132,1.194,8.662,0,2,2.463,0,0,3.678,0.0,0,7,11.033,36.6,0,3.5897,1.237,0,0.982,1.828,4,0,0,0,1.132,2.275,5.489,2,0,1,6,0.0,1,0,2,0.0,0,3.853,0,0,0,0
+133,0.544,8.558,0,1,2.259,0,0,3.558,0.0,0,0,10.149,50.0,0,2.1739,1.304,0,0.986,2.952,3,0,0,0,1.104,2.179,4.709,1,0,1,2,0.0,2,0,0,-0.001,0,3.676,0,0,0,0
+134,1.169,8.497,0,2,2.301,0,0,3.573,0.0,0,2,10.26,39.4,0,2.0469,1.215,0,0.988,3.268,2,0,0,0,1.126,1.967,4.817,0,0,1,3,0.0,2,0,0,0.0,0,3.665,0,0,0,0
+135,2.125,8.337,0,2,2.27,0,0,3.601,0.0,0,2,10.029,36.8,0,2.7759,1.217,0,0.984,3.574,2,0,0,0,1.131,1.958,4.845,0,0,2,6,0.0,1,0,0,0.0,0,3.678,0,0,0,0
+136,1.23,8.414,0,2,2.375,0,0,3.437,0.0,0,3,10.559,37.9,0,3.3527,1.23,0,0.99,1.809,3,0,0,0,1.129,2.288,5.377,1,0,2,5,0.0,1,0,1,-0.002,0,3.774,0,0,0,0
+137,1.273,8.551,1,3,2.288,0,2,3.37,20.612,2,0,9.975,38.9,0,3.6002,1.21,0,1.041,1.602,2,0,1,0,1.132,2.985,4.953,0,0,2,6,0.0,1,0,0,-0.008,0,3.861,0,2,0,0
+138,1.16,8.601,1,3,2.305,0,1,3.375,20.537,3,1,10.099,38.9,0,3.6001,1.218,0,1.041,1.553,3,0,1,0,1.132,3.182,4.965,1,0,2,6,0.0,1,0,0,-0.008,0,3.88,0,2,0,0
+139,1.16,8.601,1,3,2.303,0,1,3.375,20.514,3,1,10.099,38.9,0,3.552,1.226,0,1.041,1.602,3,0,1,0,1.132,3.182,4.958,1,0,2,6,0.0,1,0,0,-0.008,0,3.876,0,2,0,0
+140,1.16,8.601,1,3,2.292,0,1,3.375,20.318,2,1,10.099,38.9,0,3.4973,1.222,0,1.041,1.696,3,0,1,0,1.132,3.182,4.895,1,0,2,7,0.0,1,0,0,-0.008,0,3.863,0,2,0,0
+141,1.45,9.052,2,5,2.417,0,4,3.798,42.668,4,2,10.639,34.5,0,3.8233,1.196,0,1.043,1.814,4,0,2,0,1.142,3.265,5.171,1,0,3,11,0.0,1,0,0,0.0,0,3.972,0,4,0,0
+142,0.875,8.476,0,1,2.194,1,0,3.214,0.0,0,0,9.579,46.2,1,3.3162,1.296,0,1.023,0.854,2,1,0,0,1.108,2.681,4.732,1,0,2,2,0.0,1,0,0,0.046,0,3.907,0,0,0,0
+143,0.875,8.473,0,1,2.175,1,0,3.214,0.0,0,0,9.54,46.2,1,3.2495,1.3,0,1.023,1.069,2,1,0,0,1.108,2.681,4.596,1,0,2,2,0.0,1,0,0,0.046,0,3.879,0,0,0,0
+144,0.875,11.593,0,1,2.17,1,0,3.796,0.0,0,0,9.54,46.2,0,3.173,1.347,1,1.016,1.14,2,1,0,0,1.1,2.51,4.562,1,0,2,2,0.0,1,0,0,0.045,0,6.879,1,0,0,0
+145,0.875,11.593,0,1,2.175,1,0,3.796,0.0,0,0,9.54,46.2,0,3.2243,1.355,1,1.016,1.069,2,1,0,0,1.1,2.51,4.596,1,0,2,2,0.0,1,0,0,0.045,0,6.88,1,0,0,0
+146,0.875,11.593,0,1,2.194,1,0,3.796,0.0,0,0,9.579,46.2,0,3.2896,1.351,1,1.016,0.854,2,1,0,0,1.1,2.51,4.732,1,0,2,2,0.0,1,0,0,0.045,0,6.88,1,0,0,0
+147,2.305,14.223,0,2,2.208,2,0,4.594,0.0,0,0,9.896,45.5,1,2.6198,1.412,0,1.021,4.243,2,2,0,0,1.098,2.326,4.619,0,0,2,5,0.0,1,0,0,0.001,0,10.695,0,0,0,0
+148,0.881,8.562,0,1,2.246,1,0,3.297,0.0,0,1,9.833,43.8,1,3.3155,1.296,0,1.012,1.06,3,1,0,0,1.113,2.568,4.807,1,0,2,2,0.0,1,0,0,-0.025,0,3.921,0,0,0,0
+149,0.881,8.87,0,1,2.246,2,0,3.462,0.0,0,0,9.833,46.2,1,3.3875,1.317,0,1.048,1.06,3,2,0,0,1.103,2.802,4.807,1,0,3,2,0.0,1,0,0,-0.026,0,4.009,0,0,0,0
+150,0.881,12.274,0,1,2.246,2,0,4.264,0.0,0,0,9.833,46.2,0,3.3439,1.415,1,1.034,1.06,3,2,0,0,1.088,2.5,4.807,1,0,3,2,0.0,1,0,0,-0.025,0,6.892,1,0,0,0
+151,0.881,8.872,0,1,2.264,2,0,3.462,0.0,0,0,9.863,46.2,1,3.4778,1.318,0,1.048,0.95,3,2,0,0,1.103,2.802,4.912,1,0,3,2,0.0,1,0,0,-0.026,0,4.068,0,0,0,0
+152,0.881,8.872,0,1,2.264,2,0,3.462,0.0,0,0,9.863,46.2,1,3.4781,1.317,0,1.048,0.95,3,2,0,0,1.103,2.802,4.912,1,0,3,2,0.0,1,0,0,-0.026,0,4.032,0,0,0,0
+153,0.881,8.87,0,1,2.246,2,0,3.462,0.0,0,0,9.833,46.2,1,3.3873,1.318,0,1.048,1.06,3,2,0,0,1.103,2.802,4.807,1,0,3,2,0.0,1,0,0,-0.026,0,4.05,0,0,0,0
+154,0.881,8.868,0,1,2.236,2,0,3.462,0.0,0,0,9.803,46.2,1,3.3803,1.328,0,1.048,0.95,3,2,0,0,1.103,2.802,4.732,1,0,3,2,0.0,1,0,0,-0.026,0,3.998,0,0,0,0
+155,1.124,9.175,1,3,2.353,2,1,3.715,20.509,2,0,10.277,40.0,1,3.8133,1.261,0,1.1,1.513,4,2,1,0,1.123,3.407,5.071,1,0,4,6,0.0,1,0,0,0.005,0,4.076,0,2,0,0
+156,0.0,8.536,0,1,2.194,0,0,3.609,0.0,0,0,10.054,48.3,0,1.9651,1.296,0,0.983,4.13,2,0,0,0,1.107,1.989,4.562,0,0,0,4,0.0,2,0,0,0.0,0,3.587,0,0,0,0
+157,0.544,8.63,0,1,2.307,0,0,3.579,11.846,0,0,10.193,54.2,0,2.3618,1.313,0,0.989,2.627,2,0,0,0,1.095,2.286,4.962,0,0,0,4,0.075,2,0,0,-0.001,0,3.755,0,0,0,0
+158,1.261,8.435,2,0,2.214,0,4,3.292,0.0,4,0,9.714,57.1,0,3.0954,1.35,0,1.006,1.783,2,0,0,0,1.101,2.833,4.641,0,0,0,0,0.0,1,0,0,0.015,0,3.726,0,2,0,0
+159,1.197,9.543,2,0,2.438,4,4,4.005,0.0,4,0,10.51,57.1,1,3.9658,1.402,0,1.099,1.254,6,4,0,0,1.085,3.103,5.267,0,0,4,0,0.0,1,0,0,0.001,0,4.254,0,2,0,0
+160,1.831,9.113,2,2,2.296,2,4,3.83,11.353,4,0,10.363,36.0,1,3.0922,1.25,0,1.037,3.18,3,2,0,0,1.135,2.659,4.869,1,0,3,2,-0.393,1,0,0,-0.001,0,4.051,0,3,0,0
+161,0.824,10.284,2,5,2.42,4,7,4.622,35.742,6,0,11.344,44.2,1,2.1249,1.296,0,1.056,5.31,9,5,0,0,1.108,2.823,5.387,3,0,9,12,-0.656,3,0,0,0.0,0,4.741,0,4,0,0
+162,1.805,8.49,1,2,2.322,0,2,3.582,11.111,1,2,10.269,37.5,0,3.2017,1.221,0,0.995,2.668,2,0,0,0,1.132,2.322,4.994,1,0,1,6,-0.425,1,0,0,-0.001,0,3.713,0,0,0,0
+163,1.733,8.464,1,2,2.311,0,2,3.525,11.023,1,2,10.222,37.9,0,3.2319,1.222,0,0.998,2.571,2,0,0,0,1.132,2.381,4.975,1,0,1,6,-0.432,1,0,0,0.001,0,3.713,0,0,0,0
+164,1.604,8.667,2,2,2.294,0,2,3.533,19.925,5,1,10.05,47.4,0,3.4872,1.275,0,1.033,2.223,3,0,0,0,1.118,2.923,4.872,0,0,2,2,0.0,1,0,0,-0.002,0,3.783,0,4,0,0
+165,1.125,7.158,0,0,2.136,0,0,2.843,0.0,0,1,9.311,33.3,0,2.125,1.199,0,0.961,1.481,0,0,0,1,1.138,1.542,4.499,0,0,0,0,0.0,1,0,0,0.034,0,3.15,0,0,0,0
+166,0.0,6.76,0,0,2.0,0,0,2.565,0.0,0,0,8.623,33.3,0,2.0,1.167,0,0.961,0.667,0,0,0,0,1.138,1.5,4.0,0,0,0,0,0.0,1,0,0,0.103,0,3.003,0,0,0,0
+167,0.0,7.081,0,0,2.0,0,0,2.618,0.0,0,0,8.623,37.5,0,2.2551,1.226,0,0.964,0.667,0,0,0,0,1.13,1.667,4.0,0,0,0,0,0.0,1,0,0,0.112,0,3.175,0,0,0,0
+168,0.799,13.179,0,0,2.414,6,0,5.031,0.0,0,0,10.434,33.3,1,2.8937,1.534,1,1.043,0.873,0,6,0,0,1.091,2.155,5.236,0,0,0,0,0.0,1,0,0,0.004,0,6.951,1,0,0,0
+169,0.802,7.988,0,0,2.101,1,0,2.995,0.0,0,0,9.183,33.3,1,2.1712,1.23,0,0.979,0.975,0,1,0,0,1.135,1.849,4.414,0,0,0,0,0.0,1,0,0,-0.064,0,3.658,0,0,0,0
+170,0.827,12.953,0,0,2.247,4,0,4.816,0.0,0,0,10.135,33.3,0,2.5137,1.457,1,0.999,1.244,0,4,0,0,1.112,1.861,4.814,0,0,0,0,0.0,1,0,0,0.003,0,6.915,1,0,0,0
+171,2.184,14.019,0,1,2.466,5,0,4.883,0.0,0,3,11.058,34.6,1,3.3983,1.391,0,0.998,3.079,6,6,0,0,1.12,2.159,5.401,0,0,6,5,0.0,1,0,0,0.0,0,10.323,0,0,0,0
+172,1.693,9.707,1,5,2.357,0,1,3.931,21.265,3,1,10.742,31.0,0,3.4588,1.273,0,1.038,3.021,3,2,1,0,1.127,2.822,5.276,0,0,2,12,0.0,1,0,0,0.0,0,4.702,0,2,0,0
+173,0.799,13.184,0,1,2.414,5,0,5.017,0.0,0,0,10.434,46.2,0,3.8407,1.542,1,1.086,0.873,6,5,0,0,1.051,2.479,5.236,1,0,6,2,0.0,1,0,0,0.004,0,6.982,1,0,0,0
+174,1.162,8.814,0,3,2.467,0,0,3.762,11.22,0,6,11.1,37.5,0,3.6981,1.233,0,0.993,1.737,4,0,0,0,1.13,2.546,5.459,2,0,1,8,-1.093,1,0,2,0.0,0,3.883,0,0,0,0
+175,1.846,9.894,0,4,2.394,4,0,4.233,11.888,0,0,10.866,35.7,1,3.5985,1.297,0,1.063,3.082,4,5,0,0,1.116,2.794,5.295,0,0,3,11,-0.016,1,0,0,0.0,0,4.432,0,0,0,0
+176,0.816,8.539,0,0,2.307,0,0,3.542,0.0,0,1,10.187,50.0,0,2.343,1.322,0,0.971,2.434,3,0,0,0,1.104,1.893,4.868,0,0,0,0,0.0,2,0,0,-0.001,0,3.738,0,0,0,0
+177,0.703,8.682,0,0,2.374,0,0,3.66,0.0,0,3,10.497,47.1,0,2.4193,1.324,0,0.969,2.706,4,0,0,0,1.11,1.875,5.114,0,0,0,0,0.0,2,0,0,0.0,0,3.771,0,0,0,0
+178,0.648,8.636,2,0,2.275,0,2,3.617,0.0,4,0,10.3,44.8,0,2.1649,1.293,0,0.983,3.095,4,0,0,0,1.12,2.144,4.732,4,0,2,0,0.0,2,0,0,0.0,0,3.694,0,4,0,0
+179,0.548,8.859,0,2,2.488,0,0,3.889,0.0,0,0,10.936,45.0,0,2.1018,1.259,0,0.987,2.321,4,0,0,0,1.114,2.171,5.611,2,0,2,4,0.0,3,0,1,0.0,0,3.787,0,0,0,0
+180,0.732,9.249,0,2,2.349,2,0,3.947,0.0,0,0,10.578,48.1,1,2.4328,1.305,0,1.022,3.001,6,2,0,0,1.104,2.572,4.961,2,0,4,6,0.0,2,0,0,0.0,0,3.939,0,0,0,0
+181,0.74,9.891,0,2,2.449,6,0,4.379,0.0,0,0,10.991,48.1,1,2.7448,1.336,0,1.07,3.068,10,6,0,0,1.095,2.802,5.221,2,0,8,6,0.0,2,0,0,0.0,0,4.183,0,0,0,0
+182,0.732,9.239,2,0,2.329,2,2,3.936,0.0,4,0,10.577,44.8,1,2.291,1.32,0,1.005,3.219,6,2,0,0,1.116,2.337,4.887,4,0,4,0,0.0,2,0,0,0.0,0,3.954,0,4,0,0
+183,1.006,9.14,0,2,2.459,0,0,4.08,0.0,0,8,11.361,40.4,0,2.605,1.277,0,0.979,3.688,8,0,0,0,1.124,2.133,5.415,2,0,2,8,0.0,2,0,2,0.0,0,3.872,0,0,0,0
+184,0.732,8.174,2,0,2.329,0,2,3.616,0.0,6,2,10.577,31.9,0,1.7855,1.211,0,0.97,3.219,0,0,0,4,1.145,1.794,4.887,4,0,0,0,0.0,2,0,0,0.0,0,3.374,0,4,0,0
+185,0.732,8.784,0,2,2.42,0,0,3.741,0.0,0,2,10.806,45.5,0,2.4453,1.271,0,0.992,2.731,4,0,0,0,1.113,2.348,5.511,2,0,2,4,0.0,2,0,1,0.0,0,3.785,0,0,0,0
+186,2.094,8.963,0,3,2.372,0,0,4.049,12.363,0,1,10.679,42.0,0,1.9467,1.25,0,0.989,5.623,4,0,0,0,1.121,2.222,5.076,1,0,2,10,-0.185,2,0,0,0.0,0,3.827,0,0,0,0
+187,1.33,9.362,0,3,2.481,2,0,4.116,12.298,0,1,10.978,45.7,1,2.6715,1.279,0,1.02,2.211,4,2,0,0,1.11,2.562,5.656,1,0,2,9,-0.741,2,0,1,0.0,0,3.944,0,0,0,0
+188,0.74,12.971,0,2,2.475,4,0,5.001,0.0,0,2,11.131,45.5,0,2.6742,1.4,1,1.019,2.978,8,4,0,0,1.094,2.361,5.534,2,0,6,4,0.0,2,0,1,0.0,0,6.896,1,0,0,0
+189,0.629,8.48,1,0,2.351,0,3,3.347,0.0,3,0,10.084,50.0,0,2.9434,1.321,0,0.982,1.075,3,0,0,0,1.108,2.091,5.003,2,0,1,0,0.0,3,0,0,0.004,0,3.876,0,2,0,0
+190,0.73,8.577,2,0,2.39,0,6,3.429,0.0,6,0,10.265,45.5,0,2.9965,1.301,0,0.988,1.128,4,0,0,0,1.121,2.222,5.097,4,0,2,0,0.0,3,0,0,-0.002,0,3.918,0,4,0,0
+191,0.73,8.577,2,0,2.394,0,6,3.429,0.0,6,0,10.265,45.5,0,3.0152,1.302,0,0.988,1.098,4,0,0,0,1.121,2.222,5.119,4,0,2,0,0.0,3,0,0,-0.002,0,3.921,0,4,0,0
+192,0.0,8.875,1,0,2.359,0,3,3.772,0.0,4,0,10.465,53.3,0,2.0578,1.34,0,0.98,3.08,4,0,0,0,1.1,1.951,4.933,1,0,2,0,0.0,4,0,0,0.0,0,3.865,0,4,1,0
+193,0.773,9.163,0,1,2.426,2,0,3.754,0.0,0,0,10.418,52.6,1,3.0834,1.337,0,1.027,1.085,5,2,0,0,1.093,2.504,5.177,1,0,3,3,0.0,3,0,0,0.001,0,4.122,0,0,0,0
+194,0.0,8.069,0,0,2.303,0,0,3.186,0.0,0,0,9.863,45.5,0,2.4143,1.3,0,0.968,1.047,2,0,0,0,1.113,1.733,4.861,0,0,0,0,0.0,3,0,0,-0.007,0,3.657,0,0,0,0
+195,0.0,7.805,0,0,2.323,0,0,3.065,0.0,0,0,9.805,42.9,0,2.1315,1.308,0,0.967,0.95,0,0,0,2,1.119,1.685,4.802,0,0,0,0,0.0,3,0,0,0.012,0,3.466,0,0,0,0
+196,1.057,7.933,0,0,2.413,0,0,3.072,0.0,0,1,9.982,42.9,0,2.289,1.324,0,0.967,1.358,0,0,0,2,1.119,1.704,4.783,0,0,0,0,1.669,3,0,0,0.012,0,3.594,0,0,0,0
+197,0.0,8.066,0,0,2.518,0,0,3.196,0.0,0,0,10.284,45.5,0,2.039,1.35,0,0.968,0.912,0,0,0,4,1.113,1.633,5.0,0,0,0,0,0.0,6,0,0,0.003,0,3.633,0,0,0,0
+198,0.682,8.965,1,2,2.518,0,3,3.801,24.44,3,0,10.784,53.8,0,2.4062,1.298,0,1.011,1.322,5,0,0,0,1.099,2.569,5.352,2,0,1,8,-0.309,6,0,0,0.0,0,3.966,0,2,0,0
+199,0.673,8.634,0,2,2.316,0,0,3.578,0.0,0,0,10.289,50.0,0,2.4429,1.277,0,1.003,2.38,4,0,0,0,1.104,2.476,4.88,2,0,2,4,0.0,2,0,0,-0.001,0,3.767,0,0,0,0
+200,0.662,8.77,0,0,2.366,0,0,3.776,0.0,0,2,10.741,47.4,0,2.1651,1.317,0,0.969,3.601,2,0,0,0,1.109,1.931,5.393,0,0,0,0,1.199,2,0,1,0.0,0,3.697,0,0,0,0
+201,0.596,9.237,0,4,2.437,0,0,4.148,0.0,0,4,11.063,42.3,0,1.6801,1.234,0,0.996,3.93,8,0,0,0,1.12,2.0,5.124,0,0,2,10,0.0,4,0,0,0.0,0,3.882,0,0,0,0
+202,0.0,8.839,1,0,2.417,0,3,3.666,0.0,4,0,10.423,53.8,0,2.2543,1.354,0,0.982,2.345,3,0,0,0,1.099,1.944,4.835,1,0,0,0,0.0,4,0,0,0.0,0,3.942,0,4,1,0
+203,1.489,8.751,3,2,2.386,0,4,3.601,10.865,9,0,10.297,39.1,0,2.6247,1.245,0,1.027,2.684,2,0,0,0,1.137,2.512,4.802,2,0,0,3,-0.538,3,0,0,-0.001,0,3.936,0,4,1,0
+204,1.028,8.841,3,2,2.375,0,3,3.507,20.668,6,0,10.239,41.2,0,2.9714,1.273,0,1.05,1.723,3,0,1,0,1.137,2.875,4.931,1,0,1,4,0.0,3,0,0,-0.002,0,3.966,0,6,1,0
+205,1.125,7.964,1,0,2.136,0,1,3.013,0.0,1,0,9.311,46.7,0,3.0701,1.299,0,0.984,1.481,0,0,0,0,1.116,2.208,4.499,0,0,0,0,0.0,1,0,0,0.045,0,3.599,0,2,0,0
+206,0.802,7.838,2,0,2.101,0,1,2.883,0.0,3,0,9.183,38.5,0,3.2496,1.253,0,0.998,0.975,0,0,0,0,1.141,2.381,4.414,2,0,0,0,0.0,1,0,0,-0.081,0,3.587,0,3,0,0
+207,0.802,7.834,2,0,2.101,0,0,2.883,0.0,3,0,9.183,38.5,0,3.201,1.252,0,0.998,0.975,0,0,0,0,1.141,2.381,4.414,2,0,1,0,0.0,1,0,0,-0.081,0,3.579,0,4,0,0
+208,0.802,7.834,2,0,2.101,0,1,2.883,0.0,2,0,9.183,38.5,0,3.223,1.256,0,0.998,0.975,0,0,0,0,1.141,2.381,4.414,2,0,1,0,0.0,1,0,0,-0.081,0,3.581,0,4,0,0
+209,0.629,8.515,1,1,2.351,0,1,3.367,0.0,3,0,10.084,50.0,0,3.0607,1.295,0,1.004,1.075,3,0,0,0,1.109,2.364,5.003,1,0,1,2,0.0,3,0,0,0.004,0,3.895,0,3,0,0
+210,0.0,8.933,1,0,2.414,0,2,3.678,0.0,4,0,10.4,52.2,0,2.2477,1.366,0,0.988,1.443,4,1,0,0,1.09,1.929,5.047,1,0,4,0,0.0,6,0,0,0.0,0,4.046,0,4,1,0
+211,1.958,9.633,2,3,2.36,0,1,3.963,0.0,6,5,10.77,30.0,0,3.4786,1.263,0,1.002,3.196,0,2,0,0,1.136,2.227,5.29,0,0,0,8,0.0,1,0,0,0.0,0,4.699,0,5,0,0
+212,1.048,8.919,3,0,2.358,0,6,3.887,0.0,8,0,10.745,41.5,0,2.2838,1.281,0,0.982,3.585,4,0,0,0,1.128,2.067,5.0,1,0,2,0,0.556,2,0,0,0.0,0,3.796,0,6,0,0
+213,1.632,9.455,2,0,2.38,0,1,3.86,0.0,4,0,10.181,45.0,0,2.3043,1.438,0,1.01,3.108,2,3,0,0,1.079,2.25,4.802,0,0,0,0,0.0,3,0,0,-0.001,0,4.346,0,2,0,0
+214,0.42,9.653,2,3,2.666,0,5,4.579,13.296,9,1,11.693,47.9,0,1.4888,1.286,0,0.992,3.124,10,0,0,1,1.111,2.024,5.775,1,1,5,14,-0.314,11,0,1,0.0,0,4.026,0,8,1,0
+215,1.621,8.797,5,0,2.307,0,6,3.665,0.0,13,3,10.229,28.1,0,3.2718,1.232,0,0.996,2.315,0,1,0,0,1.153,2.111,4.837,2,0,0,0,0.0,1,0,0,-0.001,0,3.939,0,3,0,0
+216,0.569,8.528,1,0,2.327,0,3,3.49,0.0,3,0,10.158,50.0,0,2.5536,1.313,0,0.98,2.096,3,0,0,0,1.107,2.077,4.985,2,0,1,0,0.0,2,0,0,0.001,0,3.765,0,2,0,0
+217,0.648,9.118,0,0,2.322,2,0,3.837,0.0,0,0,10.338,52.0,1,2.3195,1.352,0,0.998,2.758,3,2,0,0,1.095,2.17,4.971,0,0,1,0,0.0,2,0,0,0.0,0,3.926,0,0,0,0
+218,0.0,8.415,0,0,2.0,0,0,2.816,0.0,0,0,8.412,44.4,0,3.2048,1.476,0,0.983,0.579,0,1,0,0,1.083,1.967,3.618,0,0,0,0,0.0,1,0,0,-0.214,0,4.034,0,0,0,0
+219,0.722,8.859,0,0,2.0,3,0,3.224,0.0,0,2,9.657,25.0,0,3.5426,1.366,0,1.078,0.8,0,3,0,0,1.135,3.117,5.0,0,0,0,0,0.0,0,0,1,0.389,0,4.227,0,0,0,1
+220,2.936,9.275,0,8,2.361,0,0,4.603,52.856,0,8,11.367,32.7,0,6.9923,1.18,0,0.988,3.435,0,0,0,0,1.14,2.25,5.345,0,0,0,32,-1.343,0,0,1,0.0,0,3.563,0,0,0,0
+221,3.44,8.252,1,1,1.98,0,1,3.799,9.874,1,1,9.762,32.8,0,2.9644,1.207,0,0.971,8.527,0,0,0,0,1.141,1.905,3.978,0,0,0,1,0.0,0,0,0,0.0,0,3.359,0,1,0,0
+222,0.971,8.14,3,0,1.848,0,0,2.767,0.0,0,0,8.597,10.0,0,3.3271,1.193,0,1.027,1.542,0,1,0,0,1.183,3.167,4.17,5,0,0,0,0.116,0,1,0,0.419,1,3.849,0,1,0,0
+223,1.197,8.673,0,0,2.381,6,0,3.648,0.0,0,2,10.84,44.4,0,3.4093,1.046,0,1.139,2.219,2,0,0,0,1.229,4.417,5.382,0,0,0,0,0.0,1,0,2,0.001,0,3.809,0,0,0,2
+224,1.185,8.506,2,2,2.243,0,2,3.288,20.206,4,0,9.882,37.5,0,3.4398,1.224,0,1.039,1.686,2,0,1,0,1.14,3.133,4.796,2,0,2,4,0.0,1,0,0,0.015,0,3.837,0,4,0,0
+225,1.185,8.518,1,3,2.267,0,1,3.299,20.135,2,0,9.911,40.0,0,3.5834,1.213,0,1.057,1.563,2,0,1,0,1.13,3.333,4.923,1,0,2,6,0.0,1,0,0,0.015,0,3.861,0,2,0,0
+226,1.273,8.549,1,3,2.251,0,1,3.37,20.331,2,0,9.947,38.9,0,3.3148,1.211,0,1.041,1.951,2,0,1,0,1.132,2.985,4.782,0,0,2,6,0.0,1,0,0,-0.008,0,3.834,0,2,0,0
+227,1.16,8.601,1,3,2.305,0,2,3.375,20.439,2,1,10.099,38.9,0,3.6023,1.218,0,1.041,1.553,3,0,1,0,1.132,3.182,4.965,1,0,2,6,0.0,1,0,0,-0.008,0,3.882,0,2,0,0
+228,1.662,9.053,0,3,2.281,2,0,3.735,10.157,0,0,10.15,42.1,1,3.0864,1.249,0,1.061,2.83,3,2,0,0,1.115,2.991,4.856,1,0,3,2,-1.05,1,0,0,-0.002,0,4.009,0,0,0,0
+229,2.108,9.481,1,2,2.327,0,3,3.649,23.192,3,1,10.403,34.5,0,2.8994,1.249,0,1.001,3.163,1,1,0,0,1.129,2.542,5.372,1,0,1,6,0.0,1,0,0,0.001,0,4.705,0,2,0,0
+230,0.732,9.664,2,2,2.426,0,2,3.872,24.454,4,0,10.806,41.4,0,2.7057,1.29,0,1.012,2.676,4,1,0,0,1.118,2.681,5.516,4,0,4,8,0.0,2,0,0,0.0,0,4.738,0,4,0,0
+231,1.618,9.082,2,1,2.292,2,3,3.772,11.247,5,0,10.32,37.5,1,3.0744,1.283,0,1.025,2.902,3,2,0,0,1.132,2.599,4.862,1,0,3,3,-0.205,1,0,0,0.001,0,4.051,0,2,0,0
+232,0.625,9.172,2,0,2.285,2,6,3.89,0.0,8,0,10.367,46.2,1,2.3287,1.32,0,1.01,3.574,4,2,0,0,1.114,2.243,4.845,2,0,4,0,0.0,2,1,0,0.0,1,3.929,0,6,0,0
+233,0.0,8.609,0,0,2.469,0,0,3.508,0.0,0,0,10.384,56.5,0,2.3207,1.355,0,0.975,1.305,4,0,0,0,1.09,1.859,5.014,0,0,0,0,0.0,6,0,0,-0.001,0,3.866,0,0,0,0
+234,1.274,9.436,1,2,2.497,3,2,3.998,23.37,2,0,10.841,45.0,0,2.6152,1.287,0,1.082,2.276,2,3,0,0,1.116,3.123,5.188,0,0,0,6,-1.233,3,0,1,0.0,0,4.257,0,3,0,0
+235,0.971,9.415,3,2,2.617,0,4,4.337,13.096,6,0,11.472,43.3,0,2.0229,1.275,0,0.991,2.313,7,0,0,1,1.122,2.099,5.715,0,1,3,9,-0.299,5,0,1,0.0,0,3.97,0,6,0,0
+236,0.917,9.38,3,1,2.489,1,11,4.094,0.0,12,4,11.157,42.5,1,2.419,1.303,0,1.001,2.907,7,1,0,0,1.124,2.229,5.414,1,0,3,3,0.0,4,2,1,0.0,0,4.065,0,10,1,0
+237,1.461,7.58,1,1,2.175,0,0,3.098,0.0,2,2,9.665,29.6,0,2.3348,1.17,0,0.981,2.298,0,0,0,0,1.149,1.833,4.593,0,0,0,0,0.0,1,0,0,0.012,0,3.265,0,3,0,0
+238,1.455,8.644,2,1,2.262,0,2,3.423,10.844,3,1,9.921,33.3,0,2.808,1.278,0,1.007,1.945,0,1,0,0,1.133,2.515,4.768,2,0,0,2,1.18,1,0,0,-0.008,0,3.904,0,3,0,0
+239,0.548,9.123,2,2,2.529,0,6,3.962,24.736,6,0,10.947,53.3,0,1.9359,1.3,0,1.013,2.583,4,0,0,0,1.103,2.417,5.115,2,0,2,6,0.355,6,0,0,0.0,0,3.945,0,8,0,0
+240,0.636,11.664,1,3,2.551,1,3,4.44,25.24,5,0,11.127,54.5,0,2.0284,1.327,1,1.022,2.585,4,1,0,1,1.092,2.525,5.28,1,0,2,10,-0.647,6,0,0,0.0,0,6.881,1,4,0,0
+241,1.709,9.674,6,2,2.374,2,8,4.393,21.618,16,0,10.966,42.9,1,2.3939,1.289,0,1.032,5.285,6,2,1,0,1.128,2.758,5.054,0,0,6,4,0.0,2,1,0,0.0,0,4.09,0,14,0,0
+242,1.969,9.692,5,7,2.38,1,12,4.549,56.27,15,3,11.22,37.1,1,2.6389,1.218,0,1.03,4.828,6,1,1,0,1.137,2.753,5.003,1,0,6,8,-1.11,2,1,0,0.0,0,3.992,0,15,0,0
+243,0.638,11.671,1,4,2.558,1,4,4.52,25.591,3,0,11.207,52.6,0,1.9985,1.305,1,1.025,3.126,9,1,0,0,1.097,2.561,5.421,3,0,5,15,-0.848,7,0,0,0.0,0,6.879,1,2,0,0
+244,0.82,9.531,2,6,2.583,0,7,4.31,48.901,8,0,11.288,50.0,0,2.0989,1.261,0,1.04,2.801,9,0,1,0,1.108,2.887,5.468,3,0,5,18,-1.693,7,0,0,0.0,0,4.061,0,6,1,0
+245,0.773,8.475,1,0,2.428,0,2,3.454,0.0,3,3,10.617,42.9,0,2.628,1.3,0,0.975,1.204,2,0,0,1,1.122,1.904,5.32,1,0,1,0,1.361,3,0,1,0.001,0,3.792,0,5,0,0
+246,0.811,8.732,0,0,1.732,3,0,3.134,0.0,0,1,8.318,20.0,0,2.8657,1.376,0,1.148,1.0,0,3,0,0,1.132,3.417,4.0,0,0,0,0,0.0,0,0,0,-0.636,0,4.118,0,0,0,0
+247,1.0,12.252,0,0,1.618,2,0,4.047,0.0,0,2,7.408,25.0,0,2.1303,1.5,0,1.014,1.707,0,2,0,0,1.116,2.125,3.414,0,0,0,0,0.0,0,0,0,-0.501,0,6.901,1,0,0,0
+248,1.459,8.704,0,0,1.932,3,0,3.295,0.0,0,2,8.815,27.3,1,3.0128,1.28,0,1.046,1.745,0,3,0,0,1.136,2.778,4.303,0,0,0,0,0.0,0,0,0,-0.226,0,3.819,0,0,0,0
+249,1.409,7.899,1,0,2.149,0,1,3.073,0.0,2,1,9.391,40.0,0,2.7655,1.264,0,0.976,2.036,1,0,0,0,1.129,1.963,4.517,1,0,1,0,0.0,1,0,0,-0.024,0,3.562,0,3,0,0
+250,1.124,7.935,2,0,2.412,0,7,3.271,0.0,5,4,10.724,29.4,0,2.7306,1.2,0,0.972,1.306,0,0,0,0,1.151,1.986,5.461,4,0,0,0,0.0,1,0,2,0.003,0,3.487,0,3,0,0
+251,1.125,8.915,0,4,2.396,0,0,3.746,21.451,0,0,10.568,50.0,0,2.6755,1.254,0,1.035,2.158,4,0,0,0,1.104,3.0,5.018,2,0,0,8,-1.992,3,0,0,0.0,0,3.919,0,0,0,0
+252,0.664,8.71,2,0,2.364,0,2,3.385,0.0,4,0,10.012,43.8,0,2.6956,1.351,0,1.003,1.146,2,1,0,0,1.109,2.167,4.802,2,0,2,0,0.682,3,0,0,-0.007,0,3.945,0,4,0,0
+253,0.0,9.171,0,0,2.469,0,0,3.647,0.0,0,0,10.384,57.1,0,2.6689,1.419,0,0.981,1.305,4,1,0,0,1.075,1.885,5.014,0,0,0,0,0.0,6,0,0,-0.001,0,4.345,0,0,0,0
+254,0.862,8.563,2,0,2.115,0,0,2.965,0.0,2,0,9.067,30.0,0,3.3609,1.35,0,1.016,0.956,0,1,0,0,1.133,2.417,4.303,2,0,0,0,0.0,1,0,0,0.139,0,4.123,0,1,0,0
+255,0.972,8.806,2,3,2.511,0,6,3.768,35.007,6,1,10.864,41.4,0,2.6497,1.235,0,1.021,1.861,1,0,0,0,1.128,2.789,5.697,2,0,0,10,-1.903,2,0,1,0.0,0,3.82,0,2,0,0
+256,1.842,8.212,0,0,2.314,0,0,3.51,0.0,0,9,10.987,32.0,0,4.2584,1.256,0,0.96,3.775,0,0,0,0,1.141,1.724,5.359,0,0,0,0,0.0,0,0,3,-0.001,0,3.423,0,0,0,0
+257,0.722,7.03,1,0,2.0,0,0,2.388,0.0,0,3,9.657,25.0,0,3.1241,1.176,0,0.97,0.8,0,0,0,0,1.161,2.25,5.0,2,0,0,0,0.0,0,0,1,0.325,0,3.224,0,3,0,0
+258,1.459,6.918,2,0,1.902,0,2,2.565,0.0,0,1,8.755,22.2,0,2.904,1.143,0,0.979,2.052,0,0,0,0,1.171,2.167,4.214,2,0,0,0,0.0,0,0,0,-0.213,0,3.07,0,2,0,0
+259,1.95,6.869,3,0,1.848,0,2,2.715,0.0,0,2,8.394,20.0,0,2.6771,1.083,0,0.986,2.885,0,0,0,0,1.179,2.357,3.802,5,0,0,0,0.0,0,0,0,0.131,0,2.937,0,4,0,0
+260,2.322,7.275,4,0,1.919,0,4,3.063,0.0,0,2,8.881,21.4,0,2.906,1.104,0,0.985,4.086,0,0,0,0,1.175,2.2,3.902,6,0,0,0,0.0,0,0,0,-0.024,0,2.995,0,6,0,0
+261,0.918,7.266,0,2,2.074,0,0,2.62,0.0,0,3,9.771,25.0,0,3.6943,1.104,0,1.005,1.372,0,0,0,0,1.156,2.792,5.086,1,0,0,3,0.0,0,0,1,-0.23,0,3.31,0,0,0,0
+262,1.95,6.907,2,1,1.848,0,1,2.734,0.0,0,2,8.394,21.1,0,2.7037,1.071,0,0.997,2.885,0,0,0,0,1.173,2.643,3.802,4,0,0,0,0.0,0,0,0,0.136,0,2.946,0,3,0,0
+263,3.301,8.202,0,0,1.975,0,0,3.744,0.0,0,2,9.649,31.6,0,2.8789,1.238,0,0.963,7.718,0,1,0,0,1.137,1.617,3.973,0,0,0,0,0.0,0,0,0,0.0,0,3.349,0,0,0,0
+264,1.459,7.753,4,0,1.902,0,0,2.752,0.0,3,0,8.755,20.0,0,4.0251,1.171,0,1.041,2.052,0,0,0,0,1.199,3.528,4.214,4,0,0,0,-0.197,0,0,0,-0.277,0,3.496,0,0,0,0
+265,3.777,9.639,0,0,2.121,0,0,4.566,0.0,0,3,10.56,31.3,0,3.9147,1.271,0,0.963,7.395,0,4,0,0,1.133,1.552,4.5,0,0,0,0,0.0,0,0,0,0.0,0,4.527,0,0,0,0
+266,1.868,9.008,0,4,2.236,0,0,3.375,11.347,0,3,10.091,23.1,0,4.7145,1.165,0,1.014,1.836,0,1,0,0,1.149,2.619,5.259,0,0,0,9,0.0,0,0,0,0.015,0,4.415,0,0,0,0
+267,1.406,8.962,0,4,2.189,0,0,3.144,10.653,0,0,9.967,17.6,0,4.6932,1.136,0,1.041,1.309,0,1,0,0,1.155,3.038,5.236,0,0,0,9,0.0,0,0,0,-0.09,0,4.421,0,0,0,0
+268,2.826,9.317,0,4,2.298,0,0,4.187,13.429,0,6,10.853,30.0,0,5.431,1.194,0,0.978,3.847,0,1,0,0,1.142,1.959,5.271,0,0,0,15,0.0,0,0,0,0.0,0,4.416,0,0,0,0
+269,2.733,9.024,0,0,2.257,1,0,3.88,0.0,0,3,10.387,30.5,1,3.6865,1.299,0,0.962,3.441,0,2,0,0,1.135,1.665,5.262,0,0,0,0,0.0,0,0,0,0.0,0,4.278,0,0,0,0
+270,0.881,8.111,2,0,2.246,0,2,3.099,0.0,5,1,9.833,36.8,0,3.2576,1.254,0,0.986,1.06,3,0,0,0,1.14,2.333,4.807,4,0,2,0,0.0,1,0,0,-0.025,0,3.709,0,4,0,0
+271,0.881,8.099,1,0,2.246,0,2,3.087,0.0,3,2,9.833,40.0,0,3.2147,1.288,0,0.976,1.06,3,0,0,0,1.129,2.111,4.807,2,0,1,0,0.0,1,0,0,-0.024,0,3.704,0,2,0,0
+272,1.039,8.803,2,0,2.311,0,2,3.819,0.0,4,0,10.623,41.5,0,2.1379,1.287,0,0.977,3.774,4,0,0,0,1.126,1.904,4.83,0,0,2,0,0.0,2,0,0,0.0,0,3.718,0,4,0,0
+273,1.258,8.409,1,2,2.288,0,2,3.399,10.557,2,0,10.136,39.1,0,3.2197,1.221,0,1.008,2.011,2,0,0,0,1.13,2.667,4.882,1,0,1,4,-0.89,1,0,0,0.004,0,3.733,0,2,0,0
+274,1.254,8.937,1,6,2.404,0,2,3.707,42.199,3,0,10.498,40.0,0,3.8748,1.174,0,1.092,1.609,3,0,1,0,1.129,3.756,5.201,2,0,1,12,-3.157,1,0,0,-0.001,0,3.94,0,2,0,0
+275,0.927,10.292,0,12,2.467,0,0,5.293,56.39,0,24,12.609,37.8,0,1.8973,1.236,0,0.988,5.365,16,0,0,0,1.129,2.266,5.489,4,0,4,40,-2.385,4,0,9,0.0,0,3.897,0,0,0,0
+276,1.124,9.542,1,3,2.368,0,1,3.564,21.363,2,1,10.524,33.3,0,3.6618,1.235,0,1.033,1.671,3,1,0,0,1.129,3.16,5.375,3,0,2,6,0.0,1,0,0,0.004,0,4.74,0,2,0,0
+277,1.084,9.697,1,3,2.396,1,2,3.745,21.468,2,1,10.644,33.3,1,3.7456,1.258,0,1.048,1.693,4,2,0,0,1.126,3.207,5.385,3,0,3,6,0.0,1,0,0,-0.002,0,4.742,0,2,0,0
+278,0.732,9.671,0,4,2.42,0,0,3.884,24.186,0,0,10.806,44.4,0,2.6317,1.275,0,1.03,2.731,4,1,0,0,1.105,2.917,5.511,2,0,4,12,0.0,2,0,0,0.0,0,4.737,0,0,0,0
+279,0.799,8.289,0,3,2.441,0,0,3.389,22.204,0,1,10.366,37.5,0,2.2586,1.195,0,1.012,1.197,0,0,0,3,1.13,2.611,5.016,0,0,0,8,-0.589,3,0,0,-0.002,0,3.686,0,0,0,0
+280,0.5,8.614,2,0,2.236,0,6,3.673,0.0,6,0,10.219,32.5,0,1.7937,1.228,0,0.975,3.872,0,1,0,0,1.137,1.75,4.694,2,0,0,0,0.902,2,0,0,0.0,0,3.856,0,4,0,0
+281,0.432,9.487,0,0,2.49,1,0,4.052,0.0,0,0,10.89,51.4,1,1.9758,1.424,0,0.976,1.839,3,2,0,0,1.085,1.99,5.665,0,0,3,0,0.0,3,0,0,0.0,0,4.433,0,0,0,0
+282,0.719,13.877,0,1,2.485,10,0,5.701,0.0,0,0,11.156,52.2,0,3.0431,1.583,1,1.089,3.176,12,10,0,0,1.03,2.217,5.307,0,0,12,4,0.0,2,0,0,0.0,0,6.99,1,0,0,0
+283,0.97,9.962,0,3,2.525,0,0,4.889,0.0,0,21,12.308,40.0,0,2.107,1.283,0,0.974,3.898,18,0,0,0,1.125,2.0,5.493,3,0,3,12,0.0,4,0,6,0.0,0,3.956,0,0,0,0
+284,0.541,9.379,1,0,2.431,0,2,4.328,0.0,4,4,11.432,48.4,0,1.5321,1.315,0,0.973,5.586,6,0,0,0,1.108,1.903,5.511,1,0,2,0,0.0,4,0,2,0.0,0,3.805,0,4,1,0
+285,0.922,8.81,0,3,2.461,0,0,3.768,11.372,0,0,10.779,48.3,0,2.6483,1.253,0,1.01,2.163,2,0,0,0,1.108,2.662,5.645,2,0,0,8,-1.283,2,0,1,0.0,0,3.815,0,0,0,0
+286,1.018,10.25,2,6,2.416,0,2,4.264,45.607,4,0,11.255,36.8,0,2.6779,1.244,0,1.043,4.149,6,2,0,0,1.121,3.16,5.392,6,0,4,12,0.0,2,0,0,0.0,0,4.747,0,4,0,0
+287,0.899,10.094,0,7,2.522,4,0,4.7,49.639,0,0,11.524,53.3,1,2.0188,1.297,0,1.062,5.027,12,4,0,0,1.092,2.932,5.35,2,2,4,18,-5.135,6,0,0,0.0,0,4.18,0,0,0,0
+288,1.053,9.839,0,4,2.789,6,0,4.318,22.691,0,0,11.51,39.1,1,3.0045,1.278,0,1.116,1.075,0,6,0,4,1.112,3.355,5.995,2,0,0,8,-3.753,3,0,3,0.0,0,4.405,0,0,0,0
+289,1.0,8.688,0,3,2.596,0,0,3.73,23.572,0,3,10.919,40.0,0,2.1089,1.237,0,0.998,1.434,0,0,0,5,1.125,2.353,5.38,0,0,0,8,0.787,6,0,0,0.0,0,3.795,0,0,0,0
+290,0.0,8.592,0,0,2.471,0,0,3.434,0.0,0,0,10.355,54.5,0,2.5804,1.369,0,0.974,0.751,4,0,0,0,1.094,1.806,5.119,0,0,0,0,0.0,7,0,0,0.001,0,3.941,0,0,0,0
+291,1.016,10.384,2,6,2.477,2,2,4.386,45.487,4,0,11.356,35.3,1,2.9683,1.262,0,1.07,3.03,8,4,0,0,1.119,3.308,5.423,6,0,6,12,0.0,2,0,0,0.0,0,4.751,0,4,0,0
+292,1.217,8.701,0,2,2.376,0,0,3.589,10.612,0,0,10.309,50.0,0,2.6275,1.29,0,1.003,2.131,3,0,0,0,1.104,2.512,5.039,1,0,0,2,-0.79,3,0,0,-0.001,0,3.879,0,0,0,0
+293,1.455,9.635,1,2,2.504,4,2,4.187,24.195,3,1,10.969,37.0,0,2.3752,1.299,0,1.053,2.749,0,5,0,2,1.115,2.77,5.369,0,0,0,6,-0.557,3,0,1,0.0,0,4.311,0,3,0,0
+294,0.862,7.859,4,0,2.115,0,0,2.774,0.0,1,0,9.067,20.0,0,3.5568,1.194,0,1.041,0.956,0,0,0,0,1.199,2.694,4.303,3,0,0,0,0.0,1,1,0,0.15,0,3.662,0,2,1,0
+295,0.832,7.93,1,1,2.394,0,0,3.203,0.0,1,4,10.681,30.0,0,2.8292,1.202,0,0.979,1.055,0,0,0,2,1.148,2.121,5.431,2,0,0,2,0.0,1,0,2,-0.007,0,3.509,0,6,0,0
+296,0.548,9.806,2,0,2.242,0,0,4.217,0.0,2,0,10.477,30.0,0,1.7397,1.364,0,0.99,5.633,0,6,0,0,1.106,1.85,4.792,0,0,0,0,2.068,2,0,0,0.0,0,4.476,0,4,0,0
+297,0.0,7.015,0,2,2.0,0,0,2.647,0.0,0,0,8.623,28.6,0,2.368,1.083,0,1.014,0.667,0,0,0,0,1.149,2.167,4.0,0,0,0,0,0.0,1,0,0,0.135,0,3.122,0,0,0,0
+298,0.881,8.228,6,0,2.236,0,0,3.146,0.0,9,0,9.803,20.0,0,3.6508,1.146,0,1.041,0.95,0,0,0,0,1.199,2.889,4.732,6,0,0,0,0.0,1,0,0,-0.028,0,3.775,0,0,0,0
+299,0.881,8.205,3,3,2.236,0,0,3.185,30.54,3,0,9.803,25.0,0,3.09,1.126,0,1.107,0.95,0,0,0,0,1.177,3.722,4.732,3,0,0,6,-2.406,1,0,0,-0.029,0,3.632,0,0,0,0
+300,0.97,9.972,3,6,2.525,0,12,4.908,44.045,15,18,12.308,38.1,0,2.0841,1.248,0,0.988,3.898,12,0,0,0,1.131,2.281,5.493,3,0,3,24,-2.283,4,0,6,0.0,0,3.918,0,3,0,0
+301,0.0,7.886,2,0,2.291,0,2,3.229,0.0,6,0,9.909,33.3,0,2.2234,1.22,0,0.977,1.145,0,0,0,0,1.145,1.697,4.838,0,0,0,0,1.397,3,0,0,0.004,0,3.502,0,5,0,0
+302,0.0,7.49,2,0,2.303,0,0,2.92,0.0,0,0,9.728,30.0,0,2.2384,1.156,0,0.981,0.5,0,0,0,0,1.154,1.625,4.732,0,0,0,0,0.0,3,0,0,-0.021,0,3.369,0,6,0,0
+303,1.776,9.307,2,4,2.392,0,4,4.241,45.646,8,4,11.051,42.3,0,2.2627,1.267,0,1.004,4.905,6,0,0,0,1.123,2.595,5.02,2,0,2,6,-1.023,2,0,0,0.0,0,3.834,0,6,0,0
+304,1.541,9.956,5,5,2.415,1,16,4.692,35.613,14,2,11.371,42.4,1,1.8267,1.277,0,1.019,4.374,7,2,0,0,1.121,2.444,5.013,1,0,4,5,-1.123,5,1,0,0.0,0,4.304,0,13,0,0
+305,0.774,9.977,6,4,2.393,2,14,4.79,49.391,20,2,11.501,45.7,1,1.5772,1.289,0,1.018,7.983,8,2,0,0,1.118,2.543,5.02,2,0,6,6,-2.182,4,2,0,0.0,0,4.005,0,18,0,0
+306,0.832,9.333,3,3,2.418,0,11,4.103,22.238,11,1,10.931,47.2,0,2.3232,1.282,0,1.02,3.982,7,0,1,0,1.117,2.594,5.126,1,0,4,6,0.0,4,1,0,0.0,0,3.956,0,8,0,0
+307,0.789,9.567,1,2,2.534,4,2,4.049,22.671,2,0,10.761,50.0,1,3.1038,1.331,0,1.114,1.13,6,4,0,0,1.095,3.085,5.325,1,0,4,6,-1.249,3,0,0,0.0,0,4.274,0,2,0,0
+308,0.664,8.669,0,1,2.387,1,0,3.392,0.0,0,0,9.946,47.1,1,2.4754,1.271,0,1.011,1.563,2,1,0,0,1.107,2.178,4.923,0,0,1,2,0.0,2,0,0,-0.007,0,3.922,0,0,0,0
+309,1.273,7.915,1,2,2.251,0,2,3.243,10.518,2,1,9.947,30.8,0,2.3537,1.141,0,0.998,1.951,0,0,0,2,1.147,2.621,4.782,3,0,0,4,-0.638,1,0,0,-0.007,0,3.446,0,1,0,0
+310,0.0,4.917,2,0,1.0,0,0,1.544,0.0,0,0,4.174,0.0,0,1.1349,0.863,0,1.015,1.0,0,0,0,0,1.235,4.0,2.0,4,0,0,0,0.0,0,1,0,-1.099,1,2.267,0,0,0,0
+311,1.459,7.038,0,0,1.902,0,0,2.582,0.0,0,2,8.755,33.3,0,2.8141,1.27,0,0.961,2.052,0,0,0,0,1.138,1.972,4.214,0,0,0,0,0.0,0,0,0,-0.197,0,3.09,0,0,0,0
+312,2.322,8.444,0,0,1.919,2,0,3.401,0.0,0,2,8.881,30.8,1,2.6931,1.241,0,0.985,4.086,0,2,0,0,1.139,2.022,3.902,0,0,0,0,0.0,0,0,0,-0.022,0,3.547,0,0,0,0
+313,1.379,9.051,0,0,2.136,4,0,3.525,0.0,0,2,9.874,27.3,1,3.7343,1.305,0,1.075,1.496,0,4,0,0,1.131,2.956,5.164,0,0,0,0,0.0,0,0,1,0.138,0,4.099,0,0,0,0
+314,0.811,9.044,0,0,2.303,6,0,3.543,0.0,0,2,10.505,25.0,0,4.8224,1.119,0,1.27,1.411,0,3,0,0,1.262,4.854,5.646,0,0,0,0,0.0,0,0,2,-0.099,0,4.196,0,0,0,2
+315,0.971,8.832,0,0,1.848,3,0,3.245,0.0,0,0,8.597,33.3,0,3.6942,1.38,0,1.123,1.542,0,3,0,0,1.11,3.2,4.17,0,0,0,0,0.09,0,0,0,0.414,0,4.098,0,0,0,0
+316,2.237,7.567,1,0,2.101,0,3,3.287,0.0,3,3,9.519,30.0,0,3.6686,1.197,0,0.965,2.551,0,0,0,0,1.147,1.654,4.496,0,0,0,0,0.0,0,0,0,0.003,0,3.165,0,3,0,0
+317,2.252,7.652,2,0,2.0,0,2,3.226,0.0,2,0,9.598,27.8,0,3.0445,1.191,0,0.97,4.596,0,0,0,0,1.155,1.75,4.253,0,0,0,0,0.0,0,0,0,-0.007,0,3.112,0,2,0,0
+318,1.459,6.959,1,1,1.932,0,0,2.587,0.0,0,2,8.815,23.5,0,3.1413,1.072,0,0.991,1.745,0,0,0,0,1.164,2.5,4.303,1,0,0,2,0.0,0,0,0,-0.222,0,3.128,0,2,0,0
+319,1.379,7.268,0,2,2.136,0,0,2.756,0.0,0,4,9.874,26.3,0,3.5612,1.091,0,0.998,1.496,0,0,0,0,1.153,2.893,5.164,2,0,0,6,0.0,0,0,1,0.131,0,3.278,0,0,0,0
+320,1.392,7.453,0,3,2.236,0,0,3.01,0.0,0,4,10.053,26.1,0,4.0516,1.079,0,1.007,1.164,0,0,0,0,1.154,3.028,5.303,3,0,0,9,0.0,0,0,1,0.044,0,3.32,0,0,0,0
+321,1.5,7.383,1,1,2.112,0,0,2.859,0.0,0,4,9.872,26.1,0,3.4015,1.138,0,0.983,2.472,0,0,0,0,1.157,2.344,5.098,2,0,0,0,0.0,0,0,1,-0.073,0,3.271,0,4,0,0
+322,1.561,7.167,1,1,2.029,0,0,2.85,0.0,0,3,9.104,26.1,0,3.4065,1.122,0,0.983,2.054,0,0,0,0,1.157,2.25,4.438,1,0,0,0,0.0,0,0,0,-0.073,0,3.137,0,3,0,0
+323,1.406,7.37,1,2,2.189,0,0,2.89,0.0,1,3,9.967,23.8,0,3.8074,1.066,0,1.003,1.309,0,0,0,0,1.162,2.969,5.236,4,0,0,4,0.0,0,0,1,-0.078,0,3.311,0,3,0,0
+324,2.23,7.528,1,1,2.093,0,2,3.231,0.0,2,3,9.449,28.6,0,3.6384,1.166,0,0.976,2.764,0,0,0,0,1.151,2.0,4.491,1,0,0,0,0.0,0,0,0,-0.007,0,3.167,0,3,0,0
+325,2.281,7.135,0,1,1.902,0,0,2.938,0.0,0,2,8.743,29.6,0,2.8492,1.169,0,0.973,3.685,0,0,0,0,1.146,1.833,3.879,0,0,0,2,0.0,0,0,0,0.04,0,2.997,0,0,0,0
+326,2.161,8.553,0,4,2.298,0,0,3.781,0.0,0,10,11.219,29.6,0,4.9583,1.164,0,0.988,5.013,0,0,0,0,1.146,2.1,5.283,0,0,0,14,0.0,0,0,4,0.0,0,3.48,0,0,0,0
+327,2.027,8.181,0,7,2.303,0,0,3.66,0.0,0,6,10.771,25.6,0,4.7687,1.068,0,1.026,3.918,0,0,0,0,1.155,3.176,5.333,6,0,0,24,0.0,0,0,2,0.0,0,3.394,0,0,0,0
+328,2.192,7.861,0,4,2.098,0,0,3.368,0.0,0,4,9.868,27.3,0,3.906,1.107,0,1.004,4.063,0,0,0,0,1.151,2.577,4.482,2,0,0,3,0.0,0,0,0,0.004,0,3.248,0,0,0,0
+329,4.297,8.904,2,2,2.086,0,4,4.479,24.053,2,2,10.675,32.2,0,3.3381,1.198,0,0.971,15.507,0,0,0,0,1.142,1.841,4.412,2,0,0,4,0.253,0,0,0,0.0,0,3.374,0,4,0,0
+330,2.252,8.066,4,2,2.047,0,4,3.343,21.129,4,0,9.65,23.1,0,3.3651,1.115,0,1.018,4.178,0,0,0,0,1.173,3.028,4.38,6,0,0,2,-0.439,0,2,0,-0.008,2,3.366,0,4,0,0
+331,1.371,12.27,0,4,2.214,2,0,4.298,20.21,0,0,9.956,28.6,0,4.3619,1.246,0,1.101,2.232,0,2,0,0,1.126,3.75,4.947,2,0,0,4,-2.409,0,0,0,-0.028,0,6.911,1,0,0,0
+332,1.776,8.405,1,6,2.175,0,0,3.49,30.436,0,0,10.007,27.3,0,4.5744,1.099,0,1.073,2.211,0,0,0,0,1.155,3.885,4.675,3,0,0,0,-3.785,0,0,0,0.005,0,3.488,0,3,0,0
+333,1.837,9.521,0,2,2.175,0,0,3.463,0.0,0,2,9.966,21.1,0,4.1948,1.35,0,1.007,2.244,0,3,0,0,1.119,2.46,5.182,0,0,0,2,0.0,0,0,0,0.045,0,4.828,0,0,0,0
+334,1.241,9.077,3,1,2.376,0,0,3.361,12.09,12,0,10.509,20.7,0,5.159,1.231,0,0.989,1.357,0,1,0,0,1.164,2.346,5.602,0,0,0,6,0.0,0,0,0,0.013,0,4.468,0,0,0,0
+335,2.388,13.367,0,4,2.284,6,0,5.27,12.499,0,3,10.649,25.7,0,5.1487,1.379,0,1.039,3.036,0,7,0,0,1.119,2.39,5.27,0,0,0,12,0.0,0,0,0,0.0,0,6.912,1,0,0,0
+336,2.47,9.066,0,4,2.194,0,0,3.503,11.075,0,2,10.126,25.0,0,3.9866,1.158,0,1.004,3.798,0,1,0,0,1.147,2.6,5.184,1,0,0,8,0.0,0,0,0,0.004,0,4.432,0,0,0,0
+337,2.383,14.7,0,1,2.414,0,0,5.083,0.0,0,6,10.95,29.6,0,5.4486,1.397,0,0.961,3.022,0,2,0,0,1.132,1.604,5.509,0,0,0,6,0.0,0,0,0,0.0,0,10.428,0,0,0,0
+338,2.184,14.008,0,2,2.318,0,0,4.494,11.379,0,4,10.42,29.8,0,4.4437,1.343,0,0.973,1.951,0,1,0,0,1.134,2.005,5.349,0,0,0,3,-0.024,0,0,0,0.0,0,10.323,0,0,0,0
+339,3.105,14.007,0,0,2.309,0,0,4.785,0.0,0,4,10.724,31.7,0,4.5365,1.292,0,0.959,3.559,0,1,0,0,1.136,1.528,5.333,0,0,0,0,0.0,0,0,0,0.0,0,10.319,0,0,0,0
+340,1.895,7.746,1,0,2.074,0,0,3.135,0.0,3,0,9.292,36.0,0,3.8606,1.285,0,0.971,2.02,0,0,0,0,1.136,2.15,4.481,0,0,0,0,0.0,0,0,0,-0.024,0,3.257,0,3,0,0
+341,2.027,8.143,0,5,2.303,0,0,3.631,0.0,0,6,10.771,27.9,0,4.7127,1.107,0,1.003,3.918,0,0,0,0,1.15,2.706,5.333,4,0,0,18,0.0,0,0,2,0.0,0,3.386,0,0,0,0
+342,0.732,9.875,0,2,2.42,2,0,4.046,24.34,0,0,10.806,48.0,1,2.626,1.347,0,1.032,2.731,4,3,0,0,1.092,2.694,5.511,0,0,4,8,0.0,2,0,0,0.0,0,4.738,0,0,0,0
+343,1.124,9.259,0,2,2.368,3,0,3.792,10.567,0,0,10.297,46.7,1,3.6483,1.31,0,1.085,1.45,4,3,0,0,1.1,3.139,5.138,1,0,3,4,-1.188,1,0,0,0.004,0,4.147,0,0,0,0
+344,1.187,7.982,1,0,2.194,0,1,3.08,0.0,2,0,9.642,40.0,0,3.0271,1.27,0,0.976,1.659,1,0,0,0,1.129,1.963,4.732,0,0,1,0,0.0,1,0,0,-0.024,0,3.601,0,2,0,0
+345,0.881,8.103,1,0,2.264,0,2,3.087,0.0,3,2,9.863,40.0,0,3.2927,1.286,0,0.976,0.95,3,0,0,0,1.129,2.111,4.912,2,0,1,0,0.0,1,0,0,-0.024,0,3.719,0,2,0,0
+346,0.881,8.095,1,0,2.236,0,3,3.087,0.0,2,2,9.803,40.0,0,3.2078,1.298,0,0.976,0.95,3,0,0,0,1.129,2.111,4.732,2,0,1,0,0.0,1,0,0,-0.024,0,3.695,0,2,0,0
+347,1.461,8.047,1,0,2.203,0,1,3.168,0.0,2,2,9.69,39.1,0,2.8239,1.27,0,0.974,2.063,2,0,0,0,1.13,1.933,4.616,1,0,1,0,0.0,1,0,0,0.013,0,3.63,0,3,0,0
+348,1.187,8.005,1,0,2.222,0,1,3.08,0.0,3,1,9.668,40.0,0,3.1257,1.273,0,0.976,1.358,2,0,0,0,1.129,1.981,4.783,1,0,1,0,0.0,1,0,0,-0.024,0,3.65,0,2,0,0
+349,1.491,8.765,2,0,2.285,0,5,3.859,0.0,7,3,10.536,40.9,0,2.0515,1.282,0,0.976,4.361,3,0,0,0,1.126,1.908,4.75,2,0,3,0,0.0,2,0,0,0.0,0,3.689,0,8,1,0
+350,1.085,8.671,2,0,2.279,0,3,3.72,0.0,6,2,10.361,42.9,0,2.1754,1.288,0,0.979,3.551,3,0,0,0,1.123,1.961,4.739,2,0,3,0,0.0,2,0,0,0.0,0,3.688,0,8,1,0
+351,0.0,8.602,1,2,2.375,0,1,3.6,0.0,4,0,10.272,40.0,0,1.8312,1.195,0,0.998,2.221,1,0,0,0,1.127,1.956,4.88,0,0,1,0,0.0,3,0,0,0.0,0,3.627,0,4,0,0
+352,0.875,7.969,2,0,2.175,0,2,2.997,0.0,4,0,9.54,37.5,0,3.1791,1.254,0,0.991,1.069,2,0,0,0,1.14,2.417,4.596,4,0,2,0,0.0,1,0,0,0.045,0,3.638,0,4,0,0
+353,0.875,8.463,1,0,2.175,1,1,3.202,0.0,2,0,9.54,42.9,1,3.2067,1.316,0,1.005,1.069,2,1,0,0,1.121,2.431,4.596,2,0,2,0,0.0,1,0,0,0.045,0,3.876,0,2,0,0
+354,0.875,8.466,1,0,2.194,1,1,3.202,0.0,2,0,9.579,42.9,1,3.271,1.312,0,1.005,0.854,2,1,0,0,1.121,2.431,4.732,2,0,2,0,0.0,1,0,0,0.045,0,3.903,0,2,0,0
+355,1.185,8.096,1,0,2.236,0,1,3.175,0.0,2,2,9.882,39.1,0,2.9221,1.27,0,0.974,1.74,2,0,0,0,1.13,2.067,4.77,2,0,1,0,0.0,1,0,0,0.013,0,3.651,0,2,0,0
+356,0.5,8.68,1,2,2.396,0,1,3.657,0.0,5,1,10.424,39.4,0,1.8996,1.204,0,0.995,2.271,2,0,0,0,1.128,1.938,5.005,0,0,1,0,0.0,3,0,0,0.0,0,3.697,0,4,0,0
+357,1.185,8.497,1,2,2.243,0,2,3.278,20.317,2,1,9.882,41.2,0,3.4006,1.253,0,1.024,1.686,2,0,1,0,1.127,2.933,4.796,0,0,1,4,0.0,1,0,0,0.015,0,3.835,0,2,0,0
+358,1.185,8.499,1,2,2.267,0,1,3.278,20.455,3,1,9.911,41.2,0,3.5053,1.254,0,1.024,1.563,2,0,1,0,1.127,2.933,4.923,0,0,1,4,0.0,1,0,0,0.015,0,3.854,0,2,0,0
+359,1.185,8.497,1,2,2.236,0,1,3.278,20.236,2,1,9.882,41.2,0,3.3176,1.253,0,1.024,1.74,2,0,1,0,1.127,2.933,4.77,0,0,1,4,0.0,1,0,0,0.015,0,3.83,0,2,0,0
+360,0.881,8.118,0,1,2.264,0,0,3.1,0.0,0,2,9.863,42.1,0,3.3307,1.271,0,0.987,0.95,3,0,0,0,1.12,2.333,4.912,1,0,1,4,0.0,1,0,0,-0.024,0,3.728,0,0,0,0
+361,0.861,8.242,0,1,2.318,0,0,3.193,0.0,0,3,10.084,40.9,0,3.4136,1.269,0,0.983,0.984,4,0,0,0,1.123,2.267,5.027,1,0,1,4,0.0,1,0,0,0.013,0,3.784,0,0,0,0
+362,1.185,8.175,1,1,2.267,0,3,3.198,0.0,2,1,9.902,38.1,0,3.2928,1.241,0,0.993,1.393,3,0,0,0,1.133,2.25,4.845,2,0,2,2,0.0,1,0,0,0.014,0,3.718,0,2,0,0
+363,0.544,8.573,0,1,2.264,0,0,3.558,0.0,0,1,10.15,50.0,0,2.4398,1.31,0,0.986,2.919,3,0,0,0,1.104,2.036,4.732,0,0,2,4,0.0,2,0,0,-0.001,0,3.699,0,0,0,0
+364,1.621,9.671,2,4,2.508,7,5,4.672,24.703,6,8,11.98,37.5,0,2.4858,1.152,0,1.033,7.425,6,0,0,0,1.162,3.161,5.979,3,0,4,10,-3.631,2,0,5,0.0,0,3.867,0,6,0,1
+365,1.315,10.183,4,5,2.374,0,8,4.22,45.922,6,0,11.166,32.4,0,2.4228,1.236,0,1.044,4.369,4,2,0,0,1.134,3.0,5.369,6,0,4,12,0.0,2,2,0,0.0,0,4.714,0,2,0,0
+366,1.662,8.804,0,3,2.281,1,0,3.613,10.2,0,1,10.15,40.9,1,3.0549,1.234,0,1.033,2.83,3,1,0,0,1.12,2.829,4.856,1,0,2,3,-0.991,1,0,0,-0.002,0,3.904,0,0,0,0
+367,1.006,9.332,0,2,2.449,0,0,4.144,0.0,0,8,11.361,40.0,0,2.6091,1.301,0,0.982,3.714,8,1,0,0,1.119,2.147,5.395,2,0,4,6,0.0,2,0,2,0.0,0,4.055,0,0,0,0
+368,1.546,8.33,1,1,2.278,0,1,3.442,10.413,2,2,10.067,39.3,0,3.0066,1.246,0,0.986,2.303,2,0,0,0,1.129,2.256,4.849,0,0,1,2,0.0,1,0,0,-0.002,0,3.682,0,4,0,0
+369,1.197,9.544,2,0,2.439,4,6,4.005,0.0,4,0,10.51,57.1,1,3.9791,1.399,0,1.099,1.098,6,4,0,0,1.085,3.103,5.268,0,0,4,0,0.0,1,0,0,0.001,0,4.262,0,2,0,0
+370,1.16,9.496,1,2,2.311,0,2,3.484,21.444,2,1,10.388,35.0,0,3.3759,1.27,0,1.018,1.833,2,1,0,0,1.125,2.932,5.313,2,0,1,4,0.0,1,0,0,-0.008,0,4.725,0,1,0,0
+371,1.197,9.679,1,5,2.389,0,1,3.739,42.164,2,1,10.666,33.3,0,3.8121,1.221,0,1.07,1.962,3,1,1,0,1.129,3.565,5.38,1,0,2,10,0.0,1,0,0,0.001,0,4.74,0,2,0,0
+372,0.662,8.832,3,0,2.298,0,10,3.793,0.0,10,2,10.516,42.9,0,2.3994,1.289,0,0.985,4.008,4,0,0,0,1.126,2.102,4.876,3,0,2,0,0.401,2,0,0,0.0,0,3.742,0,4,0,0
+373,1.662,8.46,1,2,2.278,0,2,3.464,10.87,1,2,10.144,38.5,0,3.1901,1.237,0,1.002,2.609,3,0,0,0,1.131,2.436,4.795,1,0,1,5,-0.44,1,0,0,-0.002,0,3.724,0,0,0,0
+374,0.76,13.359,0,0,2.247,6,0,5.219,0.0,0,0,10.54,33.3,0,2.6622,1.452,1,0.999,1.366,0,6,0,0,1.112,1.861,4.814,0,0,0,0,0.0,1,0,0,0.0,0,6.918,1,0,0,0
+375,0.0,8.16,0,2,2.487,0,0,3.183,0.0,0,0,10.081,36.4,0,1.7046,1.147,0,0.998,1.669,0,0,0,1,1.132,1.833,4.821,0,0,0,4,0.0,4,0,0,0.004,0,3.552,0,0,0,0
+376,0.861,8.072,0,1,2.327,0,0,3.163,11.013,0,3,10.335,37.5,0,2.8227,1.277,0,0.98,1.037,0,0,0,0,1.13,2.258,5.256,0,0,0,2,1.509,1,0,1,0.012,0,3.597,0,0,0,0
+377,1.009,8.901,0,7,2.381,0,0,4.024,46.833,0,0,10.889,35.6,0,2.1775,1.153,0,1.022,4.315,0,0,0,4,1.134,2.935,5.105,2,0,0,18,-3.756,2,0,0,0.0,0,3.644,0,0,0,0
+378,1.773,9.497,0,4,2.351,0,0,4.151,13.18,0,2,10.862,38.5,0,2.3744,1.258,0,0.993,3.749,2,1,0,0,1.123,2.179,5.312,0,0,2,15,0.0,2,0,0,0.0,0,4.432,0,0,0,0
+379,1.11,14.03,1,0,2.527,0,3,4.802,0.0,0,0,11.097,45.7,0,2.1601,1.471,0,0.977,1.942,3,3,0,0,1.09,1.943,5.718,0,0,0,0,0.951,3,0,0,0.0,0,10.349,0,0,0,0
+380,2.058,9.789,0,4,2.36,0,0,4.046,12.071,0,1,10.721,33.3,0,3.2179,1.309,0,1.011,2.598,1,3,0,0,1.115,2.42,5.301,0,0,0,7,-0.331,1,0,0,0.0,0,4.824,0,0,0,0
+381,1.197,9.801,1,4,2.397,0,1,4.116,21.296,2,1,10.882,40.0,0,2.5224,1.308,0,1.018,3.431,3,2,1,0,1.111,2.57,5.446,0,0,3,12,0.0,2,0,0,0.0,0,4.719,0,2,0,0
+382,1.758,8.227,0,1,2.224,0,0,3.361,10.332,0,1,9.82,42.3,0,2.596,1.276,0,0.981,2.705,2,0,0,0,1.12,2.236,4.65,0,0,0,2,0.0,1,0,0,0.004,0,3.652,0,0,0,0
+383,0.799,9.557,0,1,2.414,5,0,3.967,0.0,0,0,10.434,46.2,1,3.9253,1.352,0,1.123,0.873,6,5,0,0,1.09,3.046,5.236,1,0,6,2,0.0,1,0,0,0.004,0,4.295,0,0,0,0
+384,1.781,13.183,0,1,2.35,5,0,5.069,0.0,0,2,10.7,40.0,0,3.1467,1.461,1,1.026,3.228,4,5,0,0,1.093,2.135,5.188,0,0,4,4,0.0,1,0,1,0.0,0,6.914,1,0,0,0
+385,0.569,8.148,0,1,2.327,0,0,3.408,11.653,0,0,10.158,38.7,0,2.0546,1.236,0,0.977,2.096,0,0,0,1,1.127,1.974,4.985,0,0,0,3,1.982,2,0,0,0.001,0,3.547,0,0,0,0
+386,1.555,8.93,0,4,2.426,0,0,4.013,0.0,0,4,10.927,40.4,0,2.2581,1.227,0,0.998,4.054,4,0,0,0,1.124,2.301,5.512,2,0,2,4,0.0,2,0,1,0.0,0,3.787,0,0,0,0
+387,0.541,9.367,0,1,2.5,0,0,4.332,0.0,0,3,11.225,49.2,0,1.9393,1.312,0,0.977,2.737,7,0,0,0,1.106,1.989,5.349,1,0,1,3,0.0,4,0,0,0.0,0,3.882,0,0,0,0
+388,1.707,13.654,0,2,2.484,8,0,5.587,0.0,0,4,11.349,41.2,0,2.4918,1.429,1,1.017,4.711,8,8,0,0,1.097,2.073,5.535,0,0,6,6,0.0,2,0,1,0.0,0,6.912,1,0,0,0
+389,1.126,8.899,0,3,2.384,0,0,3.829,23.875,0,0,10.558,50.0,0,2.5259,1.269,0,1.009,2.895,3,0,0,0,1.104,2.546,5.131,0,1,0,9,-0.688,2,0,0,0.0,0,3.833,0,0,0,0
+390,0.737,8.709,1,4,2.383,0,1,3.866,34.836,1,2,10.802,34.9,0,1.9952,1.207,0,1.003,3.664,0,0,0,4,1.137,2.633,5.095,2,0,0,11,-0.437,2,0,0,0.0,0,3.58,0,2,0,0
+391,0.692,10.41,0,0,2.804,12,0,4.84,0.0,0,0,12.114,42.9,1,1.665,1.366,0,1.059,2.191,0,12,0,8,1.103,2.494,5.993,0,0,0,0,0.765,15,0,6,0.0,0,4.416,0,0,0,0
+392,1.81,8.917,1,2,2.678,0,8,4.057,26.695,4,5,11.419,36.7,0,1.9708,1.234,0,0.98,3.151,0,0,0,2,1.133,2.067,5.775,0,0,0,8,0.232,6,0,2,0.0,0,3.855,0,3,0,0
+393,1.139,8.536,1,0,2.369,0,3,3.479,0.0,3,1,10.174,46.2,0,2.7083,1.312,0,0.977,1.808,3,0,0,0,1.115,1.923,5.029,1,0,1,0,0.0,3,0,0,0.001,0,3.875,0,3,0,0
+394,0.985,8.28,0,0,2.387,0,0,3.418,0.0,0,2,10.296,41.9,0,2.3662,1.293,0,0.966,1.554,2,0,0,1,1.121,1.731,5.092,0,0,0,0,0.0,3,0,0,0.001,0,3.696,0,0,0,0
+395,0.853,8.011,0,0,2.53,0,0,3.145,0.0,0,2,10.592,38.5,0,2.3368,1.288,0,0.964,0.818,0,0,0,2,1.128,1.708,5.493,0,0,0,0,1.531,3,0,1,-0.006,0,3.662,0,0,0,0
+396,0.682,9.177,0,2,2.518,1,0,3.898,24.433,0,0,10.784,58.3,1,2.412,1.327,0,1.021,1.322,5,1,0,0,1.084,2.575,5.352,0,0,1,8,-0.321,6,0,0,0.0,0,4.041,0,0,0,0
+397,0.73,11.646,1,3,2.551,1,3,4.305,24.769,3,0,10.964,51.9,0,2.4805,1.309,1,1.031,1.407,7,1,0,0,1.097,2.724,5.416,3,0,3,11,-0.735,6,0,0,0.0,0,6.88,1,2,0,0
+398,0.682,8.971,0,3,2.518,0,0,3.807,24.305,0,0,10.784,56.0,0,2.415,1.291,0,1.021,1.322,5,0,0,0,1.092,2.686,5.352,1,0,1,11,-0.514,6,0,0,0.0,0,3.968,0,0,0,0
+399,0.548,9.184,0,2,2.548,0,0,3.973,25.26,0,0,10.964,60.0,0,2.1526,1.336,0,1.002,1.599,6,0,0,0,1.083,2.367,5.386,0,0,0,8,-0.132,10,0,0,0.0,0,4.029,0,0,0,0
+400,0.72,13.877,0,0,2.532,10,0,5.692,0.0,0,0,11.151,54.5,0,3.1295,1.617,1,1.078,2.359,12,10,0,0,1.022,2.159,5.418,0,0,10,0,0.0,2,0,0,0.0,0,6.991,1,0,0,0
+401,0.75,9.228,2,0,2.368,2,2,3.896,0.0,4,0,10.568,46.2,1,2.5599,1.323,0,1.01,2.478,6,2,0,0,1.114,2.389,4.992,4,0,4,0,0.0,2,0,0,0.0,0,3.989,0,4,0,0
+402,1.745,8.855,1,0,2.33,0,2,3.88,0.0,2,1,10.484,46.3,0,1.9828,1.311,0,0.974,4.222,4,0,0,0,1.113,2.033,4.89,0,0,0,0,0.0,2,0,0,0.0,0,3.779,0,1,0,0
+403,0.648,8.623,0,0,2.312,0,0,3.603,0.0,0,2,10.32,48.4,0,2.2807,1.334,0,0.97,2.866,4,0,0,0,1.107,1.878,4.893,0,0,0,0,0.0,2,0,0,0.0,0,3.728,0,0,0,0
+404,4.12,8.485,2,1,2.306,0,2,3.937,11.381,4,1,10.222,31.8,0,1.6696,1.175,0,0.973,9.52,0,0,0,0,1.144,1.819,4.644,1,0,0,3,0.135,1,0,0,0.0,0,3.532,0,1,0,0
+405,0.862,8.506,0,0,2.115,0,0,2.938,0.0,0,1,9.067,41.7,0,3.1007,1.439,0,0.977,0.956,0,1,0,0,1.097,1.917,4.303,0,0,0,0,0.0,1,0,0,0.125,0,4.069,0,0,0,0
+406,0.664,8.992,1,0,2.364,0,1,3.501,0.0,2,0,10.012,46.7,0,2.6499,1.428,0,1.001,1.146,2,2,0,0,1.078,2.1,4.802,1,0,2,0,0.848,3,0,0,-0.007,0,4.177,0,2,0,0
+407,0.0,9.901,2,0,2.406,0,4,4.212,0.0,4,0,10.767,50.0,0,1.7012,1.455,0,1.006,4.164,4,4,0,0,1.069,1.967,4.802,0,0,0,0,0.0,6,0,0,0.0,0,4.462,0,4,0,0
+408,0.604,9.363,3,1,2.726,0,10,3.826,0.0,12,1,10.853,46.4,0,2.2119,1.301,0,1.006,2.47,5,0,0,0,1.12,2.137,5.199,1,0,2,2,0.0,7,3,0,0.0,0,4.403,0,10,3,0
+409,0.802,7.821,1,0,2.101,0,0,2.868,0.0,1,1,9.183,42.9,0,3.1806,1.295,0,0.982,0.975,0,0,0,0,1.125,2.095,4.414,0,0,0,0,0.0,1,0,0,-0.077,0,3.579,0,3,0,0
+410,0.802,7.817,1,0,2.101,0,0,2.868,0.0,2,1,9.183,42.9,0,3.1554,1.298,0,0.982,0.975,0,0,0,0,1.125,2.095,4.414,0,0,0,0,0.0,1,0,0,-0.077,0,3.573,0,2,0,0
+411,0.802,8.386,1,0,2.101,1,0,3.11,0.0,1,0,9.183,45.5,1,3.2871,1.323,0,1.018,0.975,0,1,0,0,1.116,2.397,4.414,0,0,0,0,0.0,1,0,0,-0.081,0,3.867,0,2,0,0
+412,1.125,8.126,2,0,2.136,0,1,3.059,0.0,4,0,9.311,50.0,0,3.1749,1.315,0,1.007,1.481,0,0,0,0,1.118,2.646,4.499,0,0,0,0,0.0,1,0,0,0.047,0,3.653,0,3,0,0
+413,0.802,7.138,1,0,2.101,0,0,2.736,0.0,1,0,9.183,30.0,0,2.2803,1.178,0,0.97,0.975,0,0,0,0,1.149,1.643,4.414,0,0,0,0,0.0,1,0,0,-0.065,0,3.178,0,2,0,0
+414,0.0,8.4,1,0,2.303,0,1,3.268,0.0,3,0,9.863,52.9,0,2.9856,1.338,0,0.985,1.047,2,0,0,0,1.103,2.033,4.861,0,0,0,0,0.0,3,0,0,-0.007,0,3.842,0,3,0,0
+415,1.25,8.634,1,1,2.447,0,2,3.647,0.0,3,4,10.764,40.0,0,2.5675,1.265,0,0.982,1.996,3,0,0,1,1.127,1.964,5.325,1,0,2,2,1.306,3,0,1,0.0,0,3.826,0,5,0,0
+416,0.0,8.885,2,2,2.211,0,4,3.676,0.0,0,0,10.013,26.7,0,1.8586,1.215,0,1.007,3.499,0,2,0,0,1.139,1.905,4.599,0,0,0,0,0.0,2,0,0,-0.001,0,4.125,0,4,0,0
+417,0.0,6.883,2,0,2.0,0,0,2.605,0.0,0,0,8.623,25.0,0,2.1902,1.107,0,0.984,0.667,0,0,0,0,1.166,1.833,4.0,2,0,0,0,0.0,1,0,0,0.121,0,3.061,0,4,0,0
+418,0.673,8.682,5,0,2.334,0,7,3.584,0.0,11,0,10.289,39.1,0,2.6974,1.242,0,1.012,2.214,1,0,0,0,1.144,2.405,4.93,4,0,0,0,0.0,2,0,0,-0.001,0,3.835,0,2,0,0
+419,1.622,8.759,3,3,2.458,0,6,3.805,35.814,12,0,10.617,36.4,0,3.4839,1.224,0,1.018,1.615,0,0,0,0,1.14,2.861,5.286,0,0,0,12,-1.986,1,0,0,0.0,0,3.789,0,3,0,0
+420,0.795,10.017,6,4,2.393,2,14,4.825,49.914,22,4,11.593,44.7,1,1.587,1.291,0,1.014,8.322,10,2,0,0,1.12,2.505,5.022,2,0,6,6,-2.162,4,2,0,0.0,0,4.006,0,18,0,0
+421,0.584,9.377,2,4,2.419,0,2,4.252,46.841,4,0,11.145,51.2,0,1.5353,1.286,0,1.02,4.947,4,0,0,0,1.105,2.623,5.067,0,0,2,12,-1.375,4,0,0,0.0,0,3.833,0,8,0,0
+422,1.251,9.397,2,3,2.473,2,6,4.14,12.059,8,5,11.115,37.5,1,2.7525,1.26,0,1.02,3.069,4,2,0,0,1.131,2.446,5.31,0,0,4,8,-0.278,2,1,1,0.0,0,4.063,0,6,0,0
+423,1.928,9.944,1,3,2.377,3,0,4.172,0.0,1,2,10.762,31.0,1,3.576,1.316,0,1.045,2.989,0,5,0,0,1.121,2.554,5.302,0,0,2,8,0.0,1,0,0,0.0,0,4.701,0,2,0,0
+424,0.875,7.325,1,0,2.175,0,0,2.867,0.0,1,2,9.54,30.4,0,2.3621,1.2,0,0.969,1.069,0,0,0,0,1.148,1.708,4.596,1,0,0,0,0.0,1,0,0,0.037,0,3.247,0,4,0,0
+425,1.604,8.723,5,0,2.283,1,4,3.579,0.0,11,2,10.026,28.0,1,3.2436,1.211,0,1.015,2.211,0,1,0,0,1.164,2.316,4.799,2,0,0,0,0.0,1,0,0,-0.002,0,3.949,0,2,0,0
+426,1.59,8.773,5,0,2.294,1,6,3.637,0.0,11,3,10.18,28.6,1,3.2336,1.221,0,1.009,2.457,0,1,0,0,1.161,2.282,4.816,2,0,0,0,0.0,1,0,0,0.001,0,3.951,0,3,0,0
+427,1.362,9.014,0,3,2.616,0,0,3.964,24.463,0,5,11.07,39.6,0,2.2204,1.257,0,0.989,4.097,0,0,0,2,1.126,2.322,5.219,0,0,0,11,2.753,2,0,1,0.0,0,3.791,0,0,0,0
+428,1.938,8.541,1,1,2.337,0,2,3.587,11.766,4,3,10.289,40.6,0,3.2439,1.276,0,0.984,2.563,2,0,0,0,1.126,2.233,5.065,0,0,1,3,0.036,1,0,0,-0.001,0,3.728,0,4,0,0
+429,1.092,9.13,1,4,2.613,0,3,4.066,37.047,3,4,11.197,38.8,0,1.781,1.225,0,1.0,4.681,0,0,0,2,1.129,2.413,5.216,0,0,0,15,1.53,4,0,1,0.0,0,3.848,0,2,0,0
+430,0.75,8.764,2,0,2.368,0,2,3.677,0.0,6,2,10.568,43.8,0,2.5242,1.298,0,0.981,2.478,6,0,0,0,1.122,2.125,4.992,4,0,2,0,0.0,2,0,0,0.0,0,3.822,0,4,0,0
+431,0.697,9.469,2,1,2.299,3,6,4.117,11.732,6,0,10.609,46.4,1,2.209,1.318,0,1.033,4.266,5,3,0,0,1.111,2.544,4.85,2,0,5,2,-0.374,2,0,0,0.0,0,4.051,0,4,0,0
+432,1.461,8.2,2,1,2.175,0,3,3.232,10.28,3,0,9.665,38.9,0,2.9033,1.231,0,1.01,2.298,1,0,0,0,1.136,2.683,4.593,3,0,1,1,-0.536,1,0,0,0.015,0,3.601,0,2,0,0
+433,0.0,8.83,0,1,2.469,0,0,3.556,0.0,0,0,10.384,57.1,0,2.7382,1.356,0,0.993,1.305,4,0,0,0,1.089,2.013,5.014,0,0,0,4,0.0,6,0,0,-0.001,0,4.066,0,0,0,0
+434,2.585,7.937,0,0,1.942,0,0,3.303,0.0,0,1,9.11,40.0,0,3.2848,1.304,0,0.965,4.891,0,0,0,0,1.125,1.958,3.932,0,0,0,0,0.0,0,0,0,-0.007,0,3.244,0,0,0,0
+435,0.918,8.225,0,0,1.414,2,0,2.771,0.0,0,1,6.594,20.0,0,1.9808,1.306,0,1.083,1.333,0,2,0,0,1.144,3.241,3.0,0,0,0,0,0.0,0,0,0,0.87,0,3.813,0,0,0,0
+436,0.918,11.578,0,0,1.414,2,0,3.572,0.0,0,1,6.594,20.0,0,1.9184,1.439,0,1.064,1.333,0,2,0,0,1.123,2.787,3.0,0,0,0,0,0.0,0,0,0,0.803,0,6.87,1,0,0,0
+437,1.522,12.253,0,0,1.732,2,0,4.081,0.0,0,2,7.853,27.3,0,2.2995,1.43,0,0.999,2.094,0,2,0,0,1.122,2.0,3.618,0,0,0,0,0.0,0,0,0,0.319,0,6.873,1,0,0,0
+438,1.585,8.315,0,0,1.802,2,0,3.09,0.0,0,2,8.16,28.6,1,2.4553,1.258,0,1.005,2.488,0,2,0,0,1.14,2.37,3.732,0,0,0,0,0.0,0,0,0,-0.211,0,3.578,0,0,0,0
+439,1.585,11.564,0,0,1.802,1,0,3.605,0.0,0,2,8.16,29.4,0,2.3783,1.297,1,0.972,2.488,0,1,0,0,1.137,1.792,3.732,0,0,0,0,0.0,0,0,0,-0.187,0,6.866,1,0,0,0
+440,2.585,12.258,0,0,1.942,2,0,4.294,0.0,0,2,9.11,31.3,0,2.7496,1.306,1,0.974,4.891,0,2,0,0,1.133,1.708,3.932,0,0,0,0,0.0,0,0,0,-0.006,0,6.867,1,0,0,0
+441,1.392,12.947,0,0,2.236,4,0,4.758,0.0,0,4,10.053,29.4,0,4.0011,1.461,0,1.013,1.164,0,4,0,0,1.109,2.028,5.303,0,0,0,0,0.0,0,0,1,0.038,0,6.89,1,0,0,0
+442,0.811,9.233,0,0,2.303,6,0,3.647,0.0,0,2,10.505,25.0,0,4.7601,1.216,0,1.246,1.411,0,4,0,0,1.213,4.368,5.646,0,0,0,0,0.0,0,0,2,-0.094,0,4.281,0,0,0,2
+443,0.918,9.146,0,0,2.0,4,0,3.486,0.0,0,0,9.184,33.3,0,4.3417,1.384,0,1.177,1.521,0,4,0,0,1.101,3.296,4.562,0,0,0,0,-0.198,0,0,0,-0.257,0,4.265,0,0,0,0
+444,1.371,9.591,0,0,2.214,6,0,3.939,0.0,0,0,9.956,40.0,1,5.2014,1.396,0,1.159,2.232,0,6,0,0,1.091,3.133,4.947,0,0,0,0,-0.481,0,0,0,-0.028,0,4.288,0,0,0,0
+445,1.761,7.587,0,1,2.175,0,0,3.061,0.0,0,5,10.106,30.0,0,3.5144,1.2,0,0.972,2.729,0,0,0,0,1.145,2.108,5.13,1,0,0,1,0.0,0,0,1,-0.021,0,3.292,0,0,0,0
+446,1.823,7.569,0,2,2.255,0,0,3.168,0.0,0,4,10.13,29.0,0,3.9327,1.137,0,0.984,2.301,0,0,0,0,1.147,2.386,5.311,2,0,0,6,0.0,0,0,1,0.012,0,3.316,0,0,0,0
+447,1.406,7.385,0,3,2.189,0,0,2.906,0.0,0,4,9.967,25.0,0,3.8422,1.063,0,1.014,1.309,0,0,0,0,1.156,3.219,5.236,3,0,0,9,0.0,0,0,1,-0.08,0,3.306,0,0,0,0
+448,1.392,7.491,0,4,2.236,0,0,3.037,0.0,0,4,10.053,23.8,0,4.1328,1.044,0,1.029,1.164,0,0,0,0,1.159,3.472,5.303,4,0,0,12,0.0,0,0,1,0.047,0,3.331,0,0,0,0
+449,1.617,8.943,0,1,2.605,12,0,4.01,0.0,0,2,11.591,29.2,0,6.591,0.908,0,1.231,2.885,0,0,0,0,1.317,5.554,6.177,1,0,0,1,0.0,0,0,5,0.0,0,3.896,0,0,0,0
+450,1.906,7.228,1,2,2.0,0,0,2.882,0.0,0,2,9.059,23.8,0,3.2686,1.1,0,1.003,2.524,0,0,0,0,1.162,2.75,4.362,2,0,0,0,0.0,0,0,0,-0.079,0,3.13,0,2,0,0
+451,2.3,7.732,0,2,2.011,0,0,3.192,10.622,0,1,9.338,31.0,0,3.0603,1.167,0,0.986,4.098,0,0,0,0,1.143,2.288,4.347,0,0,0,3,-0.082,0,0,0,0.013,0,3.357,0,0,0,0
+452,2.231,7.58,0,1,2.074,0,0,3.169,0.0,0,2,9.373,32.3,0,3.5147,1.193,0,0.973,3.015,0,0,0,0,1.141,1.939,4.471,0,0,0,2,0.0,0,0,0,0.012,0,3.178,0,0,0,0
+453,0.0,8.242,0,4,2.24,0,0,3.474,0.0,0,0,9.8,31.3,0,1.4085,1.099,0,1.008,5.475,0,0,0,0,1.143,2.048,4.243,0,0,0,4,0.0,2,0,0,-0.001,0,3.347,0,0,0,0
+454,2.322,8.497,0,2,1.919,2,0,3.437,0.0,0,2,8.881,27.3,0,3.1373,1.168,0,1.022,4.086,0,2,0,0,1.146,2.422,3.902,0,0,0,0,0.0,0,0,0,-0.026,0,3.553,0,0,0,0
+455,3.459,8.864,0,0,1.981,0,0,3.955,0.0,0,2,9.814,31.3,0,2.974,1.254,0,0.964,8.931,0,2,0,0,1.134,1.576,3.98,0,0,0,0,0.0,0,0,0,0.0,0,4.047,0,0,0,0
+456,1.436,7.817,0,2,2.194,0,0,3.027,10.538,0,3,10.091,30.4,0,3.9762,1.177,0,0.993,2.176,0,0,0,0,1.145,2.546,5.197,0,0,0,2,0.168,0,0,1,0.044,0,3.434,0,0,0,0
+457,0.971,7.151,1,1,1.848,0,0,2.488,9.431,0,0,8.597,25.0,0,3.2655,1.161,0,1.007,1.542,0,0,0,0,1.163,3.0,4.17,0,0,0,2,0.0,0,0,0,0.397,0,3.232,0,0,0,0
+458,2.273,8.991,0,6,2.328,0,0,4.052,34.898,0,4,10.952,36.0,0,5.7899,1.204,0,1.009,3.178,0,0,0,0,1.133,2.74,5.334,0,0,0,24,-0.95,0,0,1,0.0,0,3.593,0,0,0,0
+459,3.128,8.07,1,1,1.991,0,1,3.64,10.523,1,1,9.766,31.4,0,2.9329,1.192,0,0.972,7.244,0,0,0,0,1.144,1.981,4.236,2,0,0,1,-0.155,0,0,0,0.0,0,3.309,0,1,0,0
+460,3.711,8.645,0,3,2.31,0,0,4.016,22.241,0,1,10.425,34.9,0,1.7824,1.212,0,0.98,9.474,0,0,0,1,1.135,2.087,4.724,0,0,0,6,-0.779,1,0,0,0.0,0,3.637,0,0,0,0
+461,2.396,8.803,0,6,2.315,0,0,3.932,33.525,0,1,10.694,36.6,0,5.554,1.184,0,1.02,2.891,0,0,0,0,1.132,2.893,5.332,0,0,0,18,-1.839,0,0,1,0.0,0,3.527,0,0,0,0
+462,2.396,8.813,0,7,2.315,0,0,3.942,33.28,0,1,10.694,35.9,0,5.581,1.169,0,1.032,2.891,0,0,0,0,1.133,3.083,5.332,1,0,0,21,-2.172,0,0,1,0.0,0,3.529,0,0,0,0
+463,1.371,8.085,0,2,2.205,0,0,3.159,10.837,0,4,10.236,33.3,0,4.4958,1.22,0,0.993,2.499,0,0,0,0,1.139,2.608,5.145,0,0,0,5,0.113,0,0,1,-0.025,0,3.578,0,0,0,0
+464,1.379,8.259,0,2,2.0,1,0,3.059,9.797,0,2,9.222,28.6,1,3.81,1.195,0,1.037,2.133,0,1,0,0,1.145,3.087,4.414,0,0,0,1,-0.741,0,0,0,0.149,0,3.822,0,0,0,0
+465,0.863,9.0,0,2,2.175,3,0,3.438,9.625,0,1,10.026,25.0,0,4.373,1.244,0,1.174,1.435,0,3,0,0,1.135,4.036,5.262,1,0,0,0,-1.461,0,0,1,0.161,0,4.263,0,0,0,1
+466,1.975,8.234,0,4,2.288,0,0,3.468,11.395,0,6,10.725,29.4,0,4.5704,1.132,0,1.004,3.488,0,0,0,0,1.147,2.798,5.35,2,0,0,16,-0.443,0,0,2,-0.002,0,3.56,0,0,0,0
+467,4.189,9.972,0,8,2.338,0,0,5.191,53.149,0,4,11.504,32.3,0,5.7766,1.218,0,0.979,7.261,0,4,0,0,1.135,1.938,5.342,0,0,0,24,-1.429,0,0,1,0.0,0,3.663,0,0,0,0
+468,1.686,8.163,0,3,2.244,0,0,3.262,21.759,0,3,10.308,32.0,0,4.2076,1.185,0,1.007,2.733,0,0,0,0,1.141,2.871,5.291,0,0,0,7,-0.561,0,0,1,0.014,0,3.567,0,0,0,0
+469,0.811,8.637,0,1,1.732,0,0,2.615,9.556,0,0,8.318,20.0,0,3.0897,1.288,0,1.005,1.0,0,1,0,0,1.138,3.056,4.0,0,0,0,0,0.0,0,0,0,-0.557,0,4.218,0,0,0,0
+470,1.792,8.131,0,4,2.165,0,0,3.329,10.731,0,5,10.281,28.6,0,4.6435,1.135,0,1.014,3.506,0,0,0,0,1.149,2.646,5.103,0,0,0,5,-0.806,0,0,1,-0.008,0,3.496,0,0,0,0
+471,1.5,8.427,3,0,2.0,0,1,3.126,0.0,2,2,9.309,23.5,0,4.0038,1.25,0,1.002,2.682,0,1,0,0,1.157,2.563,4.343,3,0,0,0,1.101,0,1,0,-0.083,0,3.859,0,4,0,0
+472,1.379,8.139,4,2,2.0,0,0,2.946,18.567,0,0,9.222,9.1,0,4.3883,1.074,0,1.097,2.133,0,0,0,0,1.219,4.167,4.414,4,0,0,2,-0.662,0,1,0,0.171,0,3.689,0,1,0,0
+473,0.971,8.452,1,0,1.848,0,0,2.959,0.0,0,0,8.597,20.0,0,3.1822,1.408,0,1.002,1.542,0,2,0,0,1.117,2.611,4.17,1,0,0,0,0.532,0,0,0,0.387,0,4.016,0,0,0,0
+474,2.217,9.522,0,4,2.25,3,0,3.907,11.647,0,3,10.2,23.1,0,4.7497,1.207,0,1.051,2.369,0,4,0,0,1.143,2.831,5.262,0,0,0,9,0.0,0,0,0,-0.002,0,4.416,0,0,0,0
+475,2.187,9.752,0,6,2.314,0,0,4.028,23.28,0,2,10.651,26.3,0,5.2824,1.244,0,1.024,2.965,0,3,0,0,1.131,2.709,5.284,0,0,0,10,-1.009,0,0,0,0.0,0,4.823,0,0,0,0
+476,2.797,9.217,0,4,2.242,0,0,3.904,11.913,0,4,10.588,28.6,0,4.4911,1.181,0,0.986,5.313,0,1,0,0,1.143,2.213,5.192,1,0,0,10,0.0,0,0,0,0.0,0,4.433,0,0,0,0
+477,0.811,8.986,0,1,2.303,3,0,3.465,0.0,0,3,10.505,26.7,1,4.4339,1.264,0,1.048,1.411,0,3,0,0,1.141,3.104,5.646,1,0,0,0,0.0,0,0,2,-0.08,0,4.26,0,0,0,1
+478,2.388,9.047,3,3,2.284,0,0,3.885,0.0,6,6,10.649,27.7,0,5.6107,1.235,0,0.993,3.036,0,1,0,0,1.145,2.185,5.27,0,0,0,6,2.593,0,0,0,0.0,0,4.075,0,6,0,0
+479,1.95,8.583,1,3,2.292,0,0,3.511,0.0,1,4,10.236,24.3,0,4.3397,1.225,0,0.989,2.105,0,1,0,0,1.146,2.157,5.331,2,0,0,9,0.0,0,0,0,-0.002,0,4.023,0,1,0,0
+480,1.392,12.258,0,2,2.236,2,0,4.229,0.0,0,4,10.053,26.3,0,4.066,1.25,0,1.022,1.164,0,2,0,0,1.136,2.75,5.303,2,0,0,6,0.0,0,0,1,0.043,0,6.874,1,0,0,0
+481,1.891,7.315,1,2,2.053,0,0,2.988,0.0,0,3,9.202,25.0,0,3.5378,1.101,0,0.998,2.244,0,0,0,0,1.159,2.611,4.461,2,0,0,0,0.0,0,0,0,0.044,0,3.155,0,3,0,0
+482,1.5,7.433,0,2,2.112,0,0,2.876,0.0,0,4,9.872,27.3,0,3.6085,1.122,0,0.993,2.472,0,0,0,0,1.151,2.469,5.098,1,0,0,0,0.0,0,0,1,-0.077,0,3.304,0,0,0,0
+483,1.371,7.704,0,2,2.288,0,0,3.094,0.0,0,5,10.315,28.6,0,4.1685,1.138,0,0.986,1.985,0,0,0,0,1.148,2.542,5.384,2,0,0,8,0.0,0,0,1,-0.023,0,3.426,0,0,0,0
+484,1.436,7.893,0,3,2.136,0,0,3.054,10.143,0,4,10.05,28.6,0,4.3332,1.138,0,1.014,2.695,0,0,0,0,1.149,2.769,5.102,0,0,0,4,-0.426,0,0,1,0.047,0,3.446,0,0,0,0
+485,3.066,14.009,0,2,2.328,0,0,4.697,12.585,0,4,10.673,31.2,0,4.2358,1.294,0,0.969,6.801,0,1,0,0,1.136,1.818,5.351,0,0,0,5,0.15,0,0,0,0.0,0,10.323,0,0,0,0
+486,2.1,8.883,3,3,2.267,0,2,3.766,0.0,11,0,10.646,24.4,0,4.467,1.239,0,0.993,4.692,0,1,0,0,1.152,2.131,5.311,0,0,0,9,0.953,0,0,0,0.0,0,4.029,0,1,0,0
+487,1.455,8.128,0,0,2.315,0,0,3.245,0.0,0,3,10.315,40.7,0,2.9284,1.279,0,0.966,1.897,1,0,0,0,1.123,1.856,5.365,0,0,0,0,0.0,1,0,1,-0.007,0,3.641,0,0,0,0
+488,1.185,8.671,0,2,2.267,1,0,3.413,10.337,0,0,9.911,46.7,1,3.303,1.268,0,1.042,1.563,2,1,0,0,1.107,3.011,4.923,1,0,1,4,-0.995,1,0,0,0.015,0,3.933,0,0,0,0
+489,1.936,8.783,2,0,2.283,0,4,3.937,0.0,7,2,10.509,40.0,0,1.8876,1.269,0,0.974,5.249,3,0,0,0,1.128,1.856,4.745,2,0,3,0,0.0,2,0,0,0.0,0,3.689,0,8,1,0
+490,0.875,7.959,1,0,2.194,0,1,2.984,0.0,3,1,9.579,41.2,0,3.1875,1.287,0,0.979,0.854,2,0,0,0,1.127,2.167,4.732,2,0,1,0,0.0,1,0,0,0.043,0,3.648,0,2,0,0
+491,0.875,7.954,1,0,2.17,0,1,2.984,0.0,2,1,9.54,41.2,0,3.0804,1.282,0,0.979,1.14,2,0,0,0,1.127,2.167,4.562,2,0,1,0,0.0,1,0,0,0.043,0,3.627,0,2,0,0
+492,1.876,8.55,1,2,2.263,0,2,3.547,21.912,4,2,10.186,40.7,0,2.8214,1.261,0,1.002,3.249,2,0,0,0,1.126,2.619,4.835,1,0,1,3,-0.386,1,0,0,0.001,0,3.681,0,3,0,0
+493,1.662,9.03,1,1,2.283,2,1,3.715,10.99,3,1,10.166,40.9,1,3.0136,1.285,0,1.022,2.652,3,2,0,0,1.121,2.607,4.843,1,0,3,2,-0.043,1,0,0,-0.002,0,4.05,0,3,0,0
+494,1.831,8.63,1,2,2.297,0,2,3.607,22.051,4,3,10.332,40.0,0,2.8874,1.264,0,0.998,3.288,3,0,0,0,1.127,2.556,4.883,1,0,1,3,-0.383,1,0,0,-0.001,0,3.726,0,3,0,0
+495,1.887,8.005,2,0,2.157,0,3,3.253,0.0,2,1,9.535,36.0,0,2.3963,1.231,0,0.98,3.141,1,0,0,0,1.14,2.061,4.522,3,0,0,0,0.0,1,0,0,-0.007,0,3.555,0,3,0,0
+496,1.23,8.92,3,4,2.338,0,3,3.583,41.057,6,0,10.309,33.3,0,3.7647,1.194,0,1.083,1.873,3,0,2,0,1.153,3.615,5.006,2,0,3,8,0.0,1,0,0,-0.003,0,3.938,0,6,0,0
+497,1.708,9.257,3,4,2.479,3,9,4.091,44.711,8,3,11.059,33.3,0,4.1216,1.142,0,1.057,2.168,4,0,2,0,1.171,3.475,5.386,0,0,3,8,0.0,1,0,1,0.0,0,4.004,0,8,0,1
+498,1.187,8.405,1,2,2.194,0,1,3.193,20.013,2,0,9.642,42.9,0,3.3706,1.241,0,1.037,1.659,1,0,1,0,1.125,3.074,4.732,0,0,1,4,0.0,1,0,0,-0.027,0,3.813,0,2,0,0
+499,1.16,9.12,1,2,2.318,2,1,3.647,20.473,2,0,10.122,42.9,1,3.701,1.297,0,1.084,1.572,3,2,1,0,1.117,3.202,5.029,0,0,3,4,0.0,1,0,0,-0.008,0,4.106,0,2,0,0
+500,1.16,9.118,1,2,2.305,2,1,3.647,20.473,2,0,10.099,42.9,1,3.6476,1.295,0,1.084,1.553,3,2,1,0,1.117,3.202,4.965,0,0,3,4,0.0,1,0,0,-0.008,0,4.054,0,2,0,0
+501,0.0,8.488,0,1,2.236,0,0,3.495,0.0,0,0,9.971,52.2,0,2.4203,1.306,0,0.989,2.829,2,0,0,0,1.099,2.064,4.675,0,0,2,4,0.0,2,0,0,0.001,0,3.664,0,0,0,0
+502,0.875,7.986,1,1,2.17,0,1,3.011,0.0,2,0,9.54,40.0,0,3.17,1.226,0,1.005,1.14,2,0,0,0,1.13,2.667,4.562,3,0,2,2,0.0,1,0,0,0.046,0,3.639,0,2,0,0
+503,1.604,8.395,1,2,2.242,0,1,3.459,10.681,2,2,10.007,38.5,0,2.9071,1.229,0,1.002,2.731,2,0,0,0,1.131,2.423,4.687,1,0,2,3,-0.066,1,0,0,-0.002,0,3.666,0,3,0,0
+504,1.185,8.516,1,3,2.236,0,1,3.299,20.072,2,0,9.882,40.0,0,3.3837,1.212,0,1.057,1.74,2,0,1,0,1.13,3.333,4.77,1,0,2,6,0.0,1,0,0,0.015,0,3.834,0,2,0,0
+505,1.225,9.217,3,7,2.411,0,3,3.817,62.168,6,0,10.607,31.6,0,4.1935,1.167,0,1.137,1.526,4,0,3,0,1.156,4.042,5.163,1,0,4,14,0.0,1,0,0,0.0,0,4.018,0,6,0,0
+506,0.881,8.87,0,1,2.246,2,0,3.462,0.0,0,0,9.833,46.2,1,3.3877,1.321,0,1.048,1.06,3,2,0,0,1.103,2.802,4.807,1,0,3,2,0.0,1,0,0,-0.026,0,3.999,0,0,0,0
+507,1.886,9.042,1,4,2.366,1,3,3.891,22.352,3,1,10.548,37.5,1,3.2862,1.23,0,1.029,3.188,4,1,0,0,1.131,2.728,5.019,1,0,4,7,-0.627,1,0,0,0.0,0,3.96,0,3,0,0
+508,0.832,9.376,0,1,2.365,4,0,3.825,0.0,0,0,10.265,46.2,1,3.7467,1.344,0,1.098,0.952,5,4,0,0,1.095,2.98,5.119,1,0,5,2,0.0,1,0,0,-0.008,0,4.216,0,0,0,0
+509,2.929,9.725,0,2,2.438,5,0,4.387,11.973,0,1,10.814,37.5,1,2.4916,1.281,0,1.013,6.971,6,5,0,0,1.124,2.389,5.26,0,0,6,5,-0.416,1,0,0,0.0,0,4.295,0,0,0,0
+510,1.187,8.565,0,1,2.222,1,0,3.319,10.143,0,0,9.668,50.0,1,3.2512,1.321,0,1.022,1.358,2,1,0,0,1.1,2.716,4.783,0,0,1,2,0.0,1,0,0,-0.026,0,3.911,0,0,0,0
+511,1.705,8.295,0,1,2.166,0,0,3.315,10.53,0,1,9.722,47.6,0,2.7404,1.296,0,0.988,2.905,1,0,0,0,1.109,2.394,4.543,0,0,0,1,0.078,1,0,0,-0.008,0,3.611,0,0,0,0
+512,3.61,9.08,0,4,2.351,0,0,4.429,25.194,0,2,10.833,35.4,0,2.2317,1.212,0,0.978,10.844,2,0,0,0,1.134,1.991,5.072,0,2,0,12,-0.862,1,0,0,0.0,0,3.794,0,0,0,0
+513,1.23,8.485,0,2,2.334,0,0,3.461,10.562,0,3,10.548,40.7,0,3.0581,1.243,0,0.994,2.215,2,0,0,0,1.123,2.558,5.315,1,0,0,4,-0.875,1,0,1,-0.002,0,3.743,0,0,0,0
+514,1.876,8.491,0,3,2.248,0,0,3.533,11.344,0,3,10.447,39.3,0,2.9658,1.217,0,1.006,3.439,1,0,0,0,1.126,2.47,5.107,0,0,0,8,-0.472,1,0,1,0.001,0,3.678,0,0,0,0
+515,1.258,8.704,1,4,2.288,0,2,3.483,30.73,2,0,10.136,41.2,0,3.4294,1.199,0,1.069,2.011,2,0,1,0,1.127,3.5,4.882,1,0,1,8,-1.168,1,0,0,0.005,0,3.857,0,2,0,0
+516,3.682,9.163,0,3,2.466,0,0,4.423,12.336,0,7,11.345,35.0,0,2.1976,1.225,0,0.974,11.779,4,0,0,0,1.135,1.943,5.489,1,0,1,8,-0.117,1,0,2,0.0,0,3.854,0,0,0,0
+517,1.261,8.437,2,0,2.247,0,6,3.292,0.0,4,0,9.749,57.1,0,3.3085,1.35,0,1.006,1.436,2,0,0,0,1.101,2.833,4.828,0,0,0,0,0.0,1,0,0,0.015,0,3.761,0,2,0,0
+518,1.426,8.913,2,3,2.328,0,4,3.986,12.142,6,2,10.632,40.5,0,2.2884,1.232,0,1.003,4.181,3,0,0,0,1.128,2.462,4.914,3,0,2,3,-0.173,2,0,0,0.0,0,3.733,0,7,0,0
+519,0.0,7.439,0,0,2.0,0,0,3.22,0.0,0,0,9.314,33.3,0,2.0,1.205,0,0.961,1.244,0,0,0,0,1.138,1.5,4.0,0,0,0,0,0.0,1,0,0,0.003,0,3.009,0,0,0,0
+520,1.187,9.314,0,0,2.194,2,0,3.549,0.0,0,0,9.642,42.9,1,2.8489,1.421,0,1.011,1.659,1,3,0,0,1.091,2.329,4.732,0,0,1,0,0.0,1,0,0,-0.024,0,4.523,0,0,0,0
+521,2.513,9.225,0,3,2.259,0,0,4.248,0.0,0,1,10.593,37.9,0,1.7208,1.261,0,0.981,7.746,2,1,0,0,1.125,1.893,4.733,0,0,2,11,0.0,2,0,0,0.0,0,3.999,0,0,0,0
+522,1.754,9.602,1,3,2.307,0,2,3.817,0.0,2,0,10.523,36.0,0,3.2017,1.321,0,1.022,2.952,2,2,0,0,1.114,2.587,5.272,0,0,1,8,0.0,1,0,0,-0.001,0,4.702,0,1,0,0
+523,1.508,8.47,2,2,2.296,0,3,3.472,10.696,4,1,10.166,36.0,0,3.1623,1.215,0,1.011,2.373,3,0,0,0,1.14,2.59,4.872,3,0,3,3,-0.121,1,0,0,-0.002,0,3.736,0,5,0,0
+524,0.749,13.369,0,1,2.396,6,0,5.261,0.0,0,0,10.806,52.2,0,2.7457,1.513,1,1.049,3.141,8,6,0,0,1.058,2.175,5.096,0,0,8,4,0.0,2,0,0,0.0,0,6.954,1,0,0,0
+525,1.273,8.322,1,2,2.251,0,1,3.324,10.38,2,0,9.947,40.0,0,3.0562,1.215,0,1.015,1.951,2,0,0,0,1.129,2.773,4.782,2,0,1,4,-0.896,1,0,0,-0.008,0,3.708,0,2,0,0
+526,1.805,8.522,1,3,2.295,0,2,3.598,11.03,1,2,10.235,36.7,0,3.2952,1.205,0,1.009,2.809,2,0,0,0,1.134,2.456,4.892,1,0,2,7,-0.505,1,0,0,-0.001,0,3.712,0,0,0,0
+527,1.113,9.912,0,2,2.409,2,0,4.191,0.0,0,1,10.865,42.4,1,2.5976,1.36,0,1.013,3.05,4,4,0,0,1.099,2.293,5.451,0,0,4,8,0.0,2,0,0,0.0,0,4.72,0,0,0,0
+528,1.0,8.644,0,0,2.384,0,0,3.656,0.0,0,2,10.411,47.1,0,2.5769,1.311,0,0.969,2.266,4,0,0,0,1.11,1.854,5.106,0,0,0,0,0.0,2,0,0,0.0,0,3.798,0,0,0,0
+529,0.0,8.6,0,0,2.348,0,0,3.753,0.0,0,0,10.506,45.0,0,1.7361,1.29,0,0.968,3.091,2,0,0,2,1.114,1.722,4.928,0,0,0,0,0.0,3,0,0,0.0,0,3.685,0,0,0,0
+530,0.922,8.828,0,3,2.369,0,0,3.768,12.066,0,0,10.518,48.3,0,2.4622,1.263,0,1.01,2.847,4,0,0,0,1.108,2.52,5.075,1,0,2,9,-0.203,2,0,0,0.0,0,3.827,0,0,0,0
+531,1.029,9.674,1,3,2.462,0,2,3.784,22.286,2,0,10.764,41.7,0,3.1356,1.28,0,1.029,1.583,4,1,0,0,1.113,2.906,5.459,3,0,2,6,0.0,3,0,0,0.0,0,4.748,0,2,0,0
+532,1.024,9.706,1,4,2.442,0,2,3.843,21.854,2,0,10.837,40.0,0,2.9948,1.254,0,1.041,1.865,5,1,0,0,1.117,3.078,5.35,4,0,3,9,0.0,3,0,0,0.0,0,4.738,0,2,0,0
+533,1.024,9.706,1,4,2.443,0,2,3.843,21.831,2,0,10.837,40.0,0,2.9783,1.251,0,1.041,1.871,5,1,0,0,1.117,3.078,5.35,4,0,3,9,0.0,3,0,0,0.0,0,4.738,0,2,0,0
+534,0.745,8.952,0,5,2.404,0,0,3.844,12.008,0,0,10.717,46.4,0,2.5397,1.222,0,1.038,2.924,6,0,0,0,1.112,3.037,5.161,4,0,4,13,-0.525,2,0,0,0.0,0,3.881,0,0,0,0
+535,0.917,9.26,0,2,2.256,0,0,3.083,20.861,0,0,9.968,26.7,0,2.9809,1.245,0,1.018,0.939,0,1,0,0,1.133,2.988,5.164,0,0,0,4,0.0,1,0,0,-0.072,0,4.66,0,0,0,0
+536,0.0,9.301,2,0,2.384,0,5,3.892,0.0,4,0,10.46,39.4,0,1.7802,1.339,0,0.986,3.735,2,2,0,0,1.113,1.824,4.802,1,0,0,0,0.0,4,0,0,0.0,0,4.341,0,5,0,0
+537,0.875,8.026,2,2,2.17,0,0,3.052,20.392,2,0,9.54,33.3,0,2.931,1.166,0,1.062,1.14,0,0,0,0,1.153,3.292,4.562,2,0,0,2,-0.603,1,1,0,0.05,1,3.587,0,4,0,0
+538,1.975,8.939,6,6,2.404,0,0,4.146,0.0,27,0,10.792,26.3,0,4.0287,1.137,0,1.021,2.398,0,0,0,0,1.162,2.296,5.062,0,0,0,12,0.0,1,0,0,0.0,0,3.83,0,0,0,0
+539,0.881,8.76,2,0,2.246,0,0,3.352,0.0,4,0,9.833,26.3,0,2.7734,1.334,0,0.994,1.06,0,2,0,0,1.131,2.019,4.807,0,0,0,0,1.008,1,0,0,-0.023,0,4.094,0,0,0,0
+540,0.548,9.072,1,2,2.412,0,3,3.945,12.207,4,0,10.725,51.5,0,2.0631,1.304,0,1.002,3.461,5,0,0,0,1.103,2.375,5.092,2,0,2,6,-0.32,4,0,0,0.0,0,3.924,0,3,0,0
+541,0.964,10.274,6,8,2.399,4,16,5.032,50.918,20,2,11.786,41.9,1,1.6237,1.265,0,1.032,9.592,14,4,0,0,1.124,2.595,5.051,2,0,12,14,-2.695,4,2,0,0.0,0,4.016,0,18,0,0
+542,0.0,7.6,0,1,2.0,0,0,2.593,0.0,0,0,8.412,44.4,0,3.4245,1.332,0,1.011,0.579,0,0,0,0,1.116,2.3,3.618,0,0,0,0,0.0,1,0,0,-0.237,0,3.526,0,0,0,0
+543,1.506,9.614,1,3,2.504,0,3,3.772,23.066,3,0,10.698,41.7,0,2.7726,1.278,0,1.029,2.22,2,1,0,0,1.113,2.728,5.389,0,0,1,9,0.144,3,0,0,0.0,0,4.757,0,2,0,0
+544,0.985,9.538,0,3,2.402,0,0,3.7,0.0,0,0,10.545,36.4,0,2.6699,1.317,0,1.02,1.511,2,2,0,0,1.107,2.293,5.318,0,0,1,9,0.0,3,0,0,0.001,0,4.706,0,0,0,0
+545,1.577,9.248,4,6,2.527,0,11,4.217,23.86,11,3,11.222,36.2,0,2.2373,1.191,0,1.031,3.172,4,0,0,0,1.14,2.846,5.306,5,0,2,9,-1.722,6,0,0,0.0,0,3.942,0,10,0,0
+546,2.297,8.613,1,5,2.268,0,1,3.729,10.307,1,0,10.299,34.4,0,2.7944,1.153,0,1.029,4.371,2,0,0,0,1.139,2.755,4.843,3,0,2,7,-0.929,1,0,0,0.0,0,3.681,0,0,0,0
+547,1.522,11.578,0,0,1.732,2,0,3.679,0.0,0,2,7.853,27.3,1,2.3247,1.338,0,1.008,2.094,0,2,0,0,1.131,2.272,3.618,0,0,0,0,0.0,0,0,0,0.336,0,6.866,1,0,0,0
+548,0.918,11.561,0,0,1.414,1,0,3.426,0.0,0,2,6.594,25.0,0,1.7389,1.383,0,0.985,1.333,0,1,0,0,1.136,2.083,3.0,0,0,0,0,0.0,0,0,0,0.691,0,6.867,1,0,0,0
+549,3.546,8.71,1,6,2.291,0,2,4.214,11.784,2,2,10.717,30.0,0,3.532,1.141,0,0.991,10.986,0,0,0,0,1.146,2.435,5.051,6,0,0,9,-0.794,0,0,0,0.0,0,3.519,0,2,0,0
+550,1.193,8.126,2,2,2.336,0,2,3.21,21.357,3,2,10.053,30.0,0,2.8477,1.174,0,1.02,1.586,0,0,0,0,1.154,2.9,4.876,2,0,0,4,-0.608,1,0,0,0.014,0,3.631,0,3,0,0
+551,1.273,8.521,1,2,2.288,0,2,3.351,20.772,3,1,9.975,40.0,0,3.4085,1.241,0,1.015,1.602,2,0,1,0,1.129,2.803,4.953,0,0,1,4,0.0,1,0,0,-0.008,0,3.853,0,2,0,0
+552,0.72,10.237,0,0,2.532,10,0,4.608,0.0,0,0,11.151,54.5,1,3.1768,1.413,0,1.121,2.359,12,10,0,0,1.069,2.778,5.418,0,0,10,0,0.0,2,0,0,0.0,0,4.361,0,0,0,0
+553,2.55,7.253,0,0,1.932,0,0,3.106,0.0,0,2,9.002,31.4,0,2.6909,1.201,0,0.96,4.489,0,0,0,0,1.142,1.591,3.919,0,0,0,0,0.0,0,0,0,0.011,0,2.949,0,0,0,0
+554,1.393,7.257,0,1,2.214,0,0,2.461,0.0,0,1,8.723,30.8,0,2.1144,1.104,0,0.989,1.542,0,0,0,0,1.144,1.967,4.17,0,0,0,1,0.0,1,0,0,-0.204,0,3.315,0,0,0,0
+555,2.585,7.601,0,4,1.942,0,0,3.279,0.0,0,2,9.11,26.7,0,3.2512,1.092,0,1.009,4.891,0,0,0,0,1.152,2.417,3.932,1,0,0,0,0.0,0,0,0,-0.008,0,3.076,0,0,0,0
+556,0.918,6.69,0,2,1.414,0,0,2.1,8.361,0,0,6.594,20.0,0,2.7098,1.024,0,1.108,1.333,0,0,0,0,1.167,5.0,3.0,1,0,0,0,0.0,0,0,0,1.073,0,3.046,0,0,0,0
+557,2.753,8.003,0,4,1.985,0,0,3.449,10.348,0,2,9.528,29.4,0,3.3944,1.137,0,1.004,5.588,0,0,0,0,1.147,2.405,4.236,0,0,0,2,-0.271,0,0,0,-0.002,0,3.351,0,0,0,0
+558,2.522,7.904,0,4,1.98,0,0,3.313,10.276,0,2,9.383,28.6,0,3.4286,1.119,0,1.014,4.746,0,0,0,0,1.149,2.556,4.236,0,0,0,1,-0.275,0,0,0,-0.008,0,3.351,0,0,0,0
+559,0.722,9.303,0,3,2.0,0,0,2.872,18.375,0,0,9.657,11.1,0,5.0476,1.125,0,1.092,0.8,0,1,0,0,1.153,4.583,5.0,1,0,0,0,0.0,0,0,0,0.446,0,4.712,0,0,0,0
+560,2.468,7.95,0,2,2.119,0,0,3.418,11.115,0,3,9.786,31.6,0,3.8301,1.179,0,0.98,3.889,0,0,0,0,1.142,2.143,4.525,0,0,0,5,-0.039,0,0,0,-0.002,0,3.379,0,0,0,0
+561,0.875,7.939,0,0,2.175,0,0,2.97,0.0,0,2,9.54,44.4,0,3.0777,1.328,0,0.968,1.069,2,0,0,0,1.115,1.917,4.596,0,0,0,0,0.0,1,0,0,0.041,0,3.626,0,0,0,0
+562,1.258,8.706,1,4,2.323,0,1,3.483,30.959,3,0,10.159,41.2,0,3.6112,1.199,0,1.069,1.711,2,0,1,0,1.127,3.5,5.04,1,0,1,8,-1.29,1,0,0,0.005,0,3.888,0,2,0,0
+563,0.629,8.427,0,2,2.333,0,0,3.364,10.717,0,0,10.06,52.9,0,2.7414,1.279,0,1.018,1.207,2,0,0,0,1.098,2.5,4.91,0,0,1,5,-0.302,3,0,0,0.004,0,3.767,0,0,0,0
+564,1.522,6.333,0,0,1.732,0,0,2.333,0.0,0,2,7.853,29.4,0,2.1906,1.178,0,0.959,2.094,0,0,0,0,1.147,1.7,3.618,0,0,0,0,0.0,0,0,0,0.294,0,2.794,0,0,0,0
+565,1.459,6.77,0,0,1.902,0,0,2.523,0.0,0,3,8.755,30.0,0,2.6272,1.213,0,0.959,2.052,0,0,0,0,1.145,1.722,4.214,0,0,0,0,0.0,0,0,0,-0.181,0,2.998,0,0,0,0
+566,1.585,6.557,0,0,1.802,0,0,2.511,0.0,0,2,8.16,30.0,0,2.3391,1.196,0,0.959,2.488,0,0,0,0,1.145,1.667,3.732,0,0,0,0,0.0,0,0,0,-0.181,0,2.846,0,0,0,0
+567,2.281,7.029,0,0,1.902,0,0,2.908,0.0,0,2,8.743,31.0,0,2.5951,1.202,0,0.96,3.685,0,0,0,0,1.143,1.611,3.879,0,0,0,0,0.0,0,0,0,0.036,0,2.924,0,0,0,0
+568,2.777,8.127,0,0,1.95,1,0,3.44,0.0,0,2,9.207,31.6,1,2.7719,1.22,0,0.969,5.294,0,1,0,0,1.141,1.739,3.942,0,0,0,0,0.0,0,0,0,0.003,0,3.542,0,0,0,0
+569,3.146,11.578,0,0,1.97,1,0,4.075,0.0,0,2,9.522,32.0,0,2.852,1.243,1,0.965,6.909,0,1,0,0,1.138,1.603,3.966,0,0,0,0,0.0,0,0,0,0.0,0,6.866,1,0,0,0
+570,1.585,6.599,1,0,1.802,0,1,2.532,0.0,1,2,8.16,26.3,0,2.3761,1.152,0,0.969,2.488,0,0,0,0,1.157,2.0,3.732,2,0,0,0,0.0,0,0,0,-0.195,0,2.858,0,1,0,0
+571,0.811,6.579,1,0,1.732,0,0,2.167,0.0,0,0,8.318,23.1,0,2.6264,1.182,0,0.972,1.0,0,0,0,0,1.166,2.0,4.0,0,0,0,0,0.0,0,0,0,-0.522,0,2.991,0,0,0,0
+572,0.0,4.948,0,1,1.0,0,0,1.549,0.0,0,1,4.174,16.7,0,1.1521,0.93,0,1.016,1.0,0,0,0,0,1.173,4.0,2.0,1,0,0,0,0.0,0,0,0,-1.099,0,2.279,0,0,0,0
+573,1.585,6.649,0,1,1.802,0,0,2.555,0.0,0,2,8.16,27.8,0,2.4062,1.134,0,0.979,2.488,0,0,0,0,1.15,2.333,3.732,1,0,0,1,0.0,0,0,0,-0.205,0,2.874,0,0,0,0
+574,1.0,7.174,0,1,2.17,0,0,2.273,0.0,0,1,8.482,30.0,0,2.3699,1.09,0,0.998,1.0,0,0,0,0,1.146,2.083,4.0,0,0,0,0,0.0,1,0,0,0.34,0,3.302,0,0,0,0
+575,1.0,6.32,0,2,1.618,0,0,2.243,0.0,0,2,7.408,20.0,0,2.2525,0.98,0,1.031,1.707,0,0,0,0,1.166,3.75,3.414,2,0,0,0,0.0,0,0,0,-0.642,0,2.817,0,0,0,0
+576,0.971,6.782,0,2,1.848,0,0,2.449,0.0,0,2,8.597,23.1,0,2.8042,1.044,0,1.015,1.542,0,0,0,0,1.16,3.367,4.17,2,0,0,1,0.0,0,0,0,0.391,0,3.047,0,0,0,0
+577,1.459,6.914,0,2,1.932,0,0,2.608,0.0,0,2,8.815,25.0,0,2.9558,1.056,0,1.005,1.745,0,0,0,0,1.156,3.056,4.303,2,0,0,2,0.0,0,0,0,-0.229,0,3.083,0,0,0,0
+578,1.0,7.035,0,1,1.618,0,0,2.333,0.0,0,1,7.408,37.5,0,2.6294,1.215,0,1.012,1.707,0,0,0,0,1.13,3.5,3.414,1,0,0,1,0.0,0,0,0,-0.66,0,3.188,0,0,0,0
+579,1.459,6.989,0,2,1.902,0,0,2.608,0.0,0,1,8.755,25.0,0,3.0057,1.104,0,1.005,2.052,0,0,0,0,1.156,2.722,4.214,1,0,0,1,0.0,0,0,0,-0.236,0,3.087,0,0,0,0
+580,2.0,7.074,0,2,1.879,0,0,2.858,0.0,0,2,8.584,27.3,0,2.8521,1.117,0,0.993,3.284,0,0,0,0,1.151,2.375,3.848,1,0,0,1,0.0,0,0,0,-0.076,0,2.997,0,0,0,0
+581,1.0,6.735,0,1,1.618,0,0,2.263,9.174,0,1,7.408,30.0,0,2.3729,1.142,0,0.998,1.707,0,0,0,0,1.146,3.125,3.414,0,0,0,1,0.0,0,0,0,-0.589,0,3.038,0,0,0,0
+582,2.187,8.029,0,1,2.048,0,0,3.233,10.02,0,3,9.562,37.0,0,3.6458,1.259,0,0.978,3.684,0,0,0,0,1.131,2.303,4.393,0,0,0,1,2.487,0,0,0,0.013,0,3.39,0,0,0,0
+583,0.918,7.403,0,1,2.0,0,0,2.634,10.144,0,3,9.184,31.3,0,3.3225,1.206,0,0.984,1.521,0,0,0,0,1.143,2.667,4.562,0,0,0,2,0.259,0,0,0,-0.218,0,3.375,0,0,0,0
+584,0.811,7.097,0,1,1.732,0,0,2.279,9.444,0,2,8.318,30.0,0,2.9193,1.195,0,0.998,1.0,0,0,0,0,1.146,3.167,4.0,0,0,0,0,0.167,0,0,0,-0.596,0,3.261,0,0,0,0
+585,1.406,7.595,0,2,2.101,0,0,2.917,10.162,0,2,9.425,30.0,0,3.646,1.14,0,0.998,1.631,0,0,0,0,1.146,2.875,4.694,1,0,0,4,-0.671,0,0,0,-0.077,0,3.417,0,0,0,0
+586,3.574,8.414,0,2,1.996,0,0,3.974,10.389,0,0,10.082,33.3,0,2.9879,1.205,0,0.972,10.108,0,0,0,0,1.138,1.987,4.236,1,0,0,2,-0.653,0,0,0,0.0,0,3.329,0,0,0,0
+587,0.971,7.294,0,2,1.848,0,0,2.512,9.59,0,1,8.597,27.3,0,3.4453,1.112,0,1.028,1.542,0,0,0,0,1.151,3.233,4.17,0,0,0,1,-0.245,0,0,0,0.425,0,3.337,0,0,0,0
+588,1.459,7.382,0,2,1.902,0,0,2.662,9.822,0,2,8.755,28.6,0,3.3939,1.138,0,1.014,2.052,0,0,0,0,1.149,2.944,4.214,0,0,0,1,-0.211,0,0,0,-0.249,0,3.344,0,0,0,0
+589,1.459,7.543,0,2,1.902,0,0,2.713,9.75,0,1,8.755,33.3,0,3.7074,1.186,0,1.025,2.052,0,0,0,0,1.139,3.194,4.214,0,0,0,1,-0.329,0,0,0,-0.263,0,3.38,0,0,0,0
+590,1.906,7.61,0,3,1.95,0,0,2.938,10.041,0,1,9.011,27.8,0,3.4039,1.119,0,1.022,2.999,0,0,0,0,1.15,2.833,4.233,0,0,0,1,-0.262,0,0,0,-0.087,0,3.349,0,0,0,0
+591,1.557,7.596,0,2,1.97,0,0,2.838,10.118,0,1,8.944,33.3,0,3.6943,1.164,0,1.013,2.195,0,0,0,0,1.139,2.952,4.334,0,0,0,3,-0.241,0,0,0,0.149,0,3.39,0,0,0,0
+592,2.246,7.788,0,2,2.024,0,0,3.139,10.624,0,1,9.253,33.3,0,3.3652,1.186,0,0.993,3.412,0,0,0,0,1.139,2.517,4.372,0,0,0,3,-0.177,0,0,0,-0.025,0,3.394,0,0,0,0
+593,1.907,8.269,0,3,2.314,0,0,3.517,11.278,0,6,10.633,30.8,0,4.5881,1.169,0,0.989,3.598,0,0,0,0,1.144,2.461,5.392,1,0,0,13,-0.209,0,0,1,0.001,0,3.503,0,0,0,0
+594,1.922,8.008,0,4,2.061,0,0,3.192,20.804,0,0,9.523,30.0,0,3.6985,1.116,0,1.036,3.132,0,0,0,0,1.146,3.133,4.446,0,0,0,6,-0.796,0,0,0,-0.028,0,3.431,0,0,0,0
+595,2.948,8.325,0,4,2.08,0,0,3.699,22.47,0,2,9.956,31.8,0,3.5866,1.164,0,0.995,6.131,0,0,0,0,1.142,2.407,4.411,0,0,0,8,-0.328,0,0,0,0.0,0,3.393,0,0,0,0
+596,3.427,8.693,0,4,2.13,0,0,4.14,23.699,0,4,10.56,32.5,0,3.7942,1.184,0,0.981,9.594,0,0,0,0,1.14,2.086,4.527,0,0,0,10,-0.117,0,0,0,0.0,0,3.393,0,0,0,0
+597,3.309,8.298,0,2,2.019,0,0,3.809,10.914,0,1,9.933,33.3,0,3.1269,1.202,0,0.975,8.395,0,0,0,0,1.138,1.96,4.347,0,0,0,3,-0.076,0,0,0,0.0,0,3.358,0,0,0,0
+598,0.918,7.676,0,2,2.0,0,0,2.723,9.6,0,1,9.184,33.3,0,3.8122,1.179,0,1.025,1.521,0,0,0,0,1.139,3.556,4.562,1,0,0,4,-0.759,0,0,0,-0.258,0,3.511,0,0,0,0
+599,1.379,7.747,0,2,2.053,0,0,2.847,10.19,0,1,9.312,33.3,0,4.0061,1.189,0,1.013,1.776,0,0,0,0,1.139,2.976,4.629,0,0,0,5,0.086,0,0,0,0.149,0,3.523,0,0,0,0
+600,2.182,8.185,0,3,2.256,0,0,3.204,10.698,0,1,9.765,35.0,0,2.409,1.157,0,1.02,2.989,0,0,0,0,1.135,2.667,4.655,0,0,0,6,0.094,1,0,0,0.014,0,3.542,0,0,0,0
+601,1.837,7.886,0,3,2.084,0,0,3.082,10.469,0,2,9.467,31.6,0,3.9071,1.149,0,1.021,2.732,0,0,0,0,1.142,3.093,4.644,1,0,0,5,-0.104,0,0,0,0.049,0,3.525,0,0,0,0
+602,2.587,8.578,0,5,2.107,0,0,3.707,21.879,0,2,10.202,34.3,0,3.9619,1.184,0,1.017,6.086,0,0,0,0,1.137,2.775,4.646,0,0,0,10,-0.189,0,0,0,0.0,0,3.535,0,0,0,0
+603,2.252,8.196,0,4,2.085,0,0,3.37,21.27,0,2,9.651,33.3,0,4.1984,1.158,0,1.025,3.737,0,0,0,0,1.139,2.944,4.468,0,0,0,6,-1.073,0,0,0,-0.008,0,3.534,0,0,0,0
+604,0.918,8.593,0,2,2.0,2,0,3.184,9.435,0,1,9.184,25.0,0,3.7287,1.19,0,1.134,1.521,0,2,0,0,1.142,4.037,4.562,1,0,0,0,-1.21,0,0,0,-0.271,0,3.976,0,0,0,0
+605,2.9,8.295,1,2,2.218,0,1,3.713,10.57,1,1,10.416,30.8,0,3.3847,1.187,0,0.979,6.77,0,0,0,0,1.145,2.167,5.206,0,0,0,0,-0.947,0,0,0,0.0,0,3.47,0,2,0,0
+606,1.436,8.015,1,4,2.117,0,0,3.125,19.617,1,0,9.666,25.0,0,3.8787,1.078,0,1.066,2.428,0,0,0,0,1.161,4.019,4.691,4,0,0,4,-2.498,0,0,0,0.052,0,3.483,0,2,0,0
+607,0.971,7.521,0,3,1.848,0,0,2.612,17.905,0,0,8.597,28.6,0,3.6206,1.095,0,1.124,1.542,0,0,0,0,1.149,4.733,4.17,1,0,0,0,-1.426,0,0,0,0.481,0,3.427,0,0,0,0
+608,1.459,7.746,1,2,1.902,0,0,2.774,9.377,1,0,8.755,33.3,0,3.3376,1.187,0,1.071,2.052,0,0,0,0,1.148,4.111,4.214,1,0,0,2,-1.072,0,0,0,-0.277,0,3.423,0,1,0,0
+609,3.189,8.611,2,3,2.22,0,1,3.965,22.35,3,1,10.627,30.6,0,3.5794,1.18,0,0.985,8.266,0,0,0,0,1.147,2.306,5.206,1,0,0,2,-0.919,0,0,0,0.0,0,3.473,0,4,0,0
+610,0.971,6.683,0,1,1.848,0,0,2.4,0.0,0,3,8.597,26.7,0,2.6629,1.12,0,0.983,1.542,0,0,0,0,1.152,2.567,4.17,1,0,0,2,0.0,0,0,0,0.342,0,3.0,0,0,0,0
+611,1.859,7.979,0,3,2.175,0,0,3.227,10.355,0,3,10.165,29.6,0,3.9016,1.146,0,1.002,3.341,0,0,0,0,1.146,2.538,5.175,0,0,0,3,-0.239,0,0,1,0.014,0,3.389,0,0,0,0
+612,1.187,8.009,0,1,2.2,0,0,3.093,0.0,0,1,9.631,42.1,0,3.0034,1.256,0,0.987,1.487,2,0,0,0,1.12,2.315,4.642,1,0,1,2,0.0,1,0,0,-0.024,0,3.639,0,0,0,0
+613,1.187,8.009,0,1,2.194,0,0,3.093,0.0,0,1,9.631,42.1,0,2.9443,1.242,0,0.987,1.544,2,0,0,0,1.12,2.315,4.607,1,0,1,2,0.0,1,0,0,-0.024,0,3.635,0,0,0,0
+614,0.881,8.114,0,1,2.246,0,0,3.1,0.0,0,2,9.833,42.1,0,3.2486,1.272,0,0.987,1.06,3,0,0,0,1.12,2.333,4.807,1,0,1,3,0.0,1,0,0,-0.024,0,3.71,0,0,0,0
+615,1.261,8.114,0,2,2.247,0,0,3.203,0.0,0,0,9.749,40.0,0,3.3386,1.219,0,1.004,1.436,2,0,0,0,1.125,2.233,4.828,0,0,2,4,0.0,1,0,0,0.014,0,3.677,0,0,0,0
+616,1.705,8.245,0,2,2.166,0,0,3.309,10.395,0,1,9.722,42.9,0,2.7023,1.241,0,1.003,2.905,1,0,0,0,1.119,2.485,4.543,0,0,0,3,-0.242,1,0,0,-0.008,0,3.573,0,0,0,0
+617,1.661,8.061,0,1,2.154,0,0,3.203,0.0,0,1,9.466,45.0,0,2.7124,1.268,0,0.987,2.593,1,0,0,0,1.114,2.317,4.521,1,0,0,1,0.0,1,0,0,0.014,0,3.587,0,0,0,0
+618,1.187,8.143,0,2,2.194,0,0,3.151,10.036,0,0,9.631,46.7,0,3.1116,1.253,0,1.02,1.544,2,0,0,0,1.111,2.926,4.607,1,0,1,4,0.0,1,0,0,-0.026,0,3.662,0,0,0,0
+619,1.273,8.33,0,3,2.283,0,0,3.335,10.249,0,0,9.967,42.1,0,3.3599,1.216,0,1.027,1.568,3,0,0,0,1.12,2.864,4.863,1,0,2,6,0.0,1,0,0,-0.008,0,3.743,0,0,0,0
+620,1.185,8.28,0,2,2.267,0,0,3.239,10.422,0,1,9.911,44.4,0,3.2457,1.248,0,1.011,1.563,2,0,0,0,1.116,2.8,4.923,1,0,0,4,-0.863,1,0,0,0.014,0,3.73,0,0,0,0
+621,1.59,8.593,0,4,2.343,0,0,3.571,22.449,0,0,10.257,41.7,0,3.3983,1.202,0,1.03,2.147,2,0,0,0,1.121,2.833,5.068,0,2,0,10,-1.1,1,0,0,0.001,0,3.793,0,0,0,0
+622,2.066,8.789,0,4,2.354,0,0,3.869,23.965,0,4,10.59,38.1,0,3.092,1.215,0,1.001,3.873,2,0,0,0,1.129,2.467,5.074,0,2,0,14,-0.98,1,0,0,0.0,0,3.795,0,0,0,0
+623,1.59,8.591,0,4,2.307,0,0,3.571,22.204,0,0,10.236,41.7,0,3.2253,1.202,0,1.03,2.465,2,0,0,0,1.121,2.833,4.914,0,2,0,10,-0.952,1,0,0,0.001,0,3.764,0,0,0,0
+624,1.06,8.796,0,5,2.454,0,0,3.634,32.533,0,0,10.531,50.0,0,2.7377,1.211,0,1.078,1.75,3,0,0,0,1.104,3.321,5.047,1,2,0,12,-2.685,3,0,0,-0.001,0,3.906,0,0,0,0
+625,0.5,8.7,0,2,2.247,0,0,3.699,11.596,0,0,10.239,50.0,0,2.1244,1.28,0,0.998,3.928,2,0,0,0,1.104,2.313,4.793,0,1,0,7,-0.288,2,0,0,0.0,0,3.681,0,0,0,0
+626,1.185,8.3,0,3,2.236,0,0,3.261,10.231,0,0,9.882,43.8,0,3.1445,1.207,0,1.04,1.74,2,0,0,0,1.117,3.2,4.77,2,0,1,6,-0.986,1,0,0,0.015,0,3.712,0,0,0,0
+627,1.16,9.513,0,4,2.311,0,0,3.509,20.836,0,0,10.388,35.3,0,3.4571,1.219,0,1.061,1.833,2,1,0,0,1.118,3.477,5.313,2,0,2,8,0.0,1,0,0,-0.008,0,4.735,0,0,0,0
+628,1.185,7.934,0,0,2.236,0,0,3.131,0.0,0,3,9.882,38.5,0,2.5385,1.274,0,0.964,1.74,0,0,0,0,1.128,1.767,4.77,0,0,0,0,3.12,1,0,0,0.012,0,3.521,0,0,0,0
+629,0.802,7.119,0,1,2.101,0,0,2.755,0.0,0,0,9.183,31.6,0,2.18,1.149,0,0.98,0.975,0,0,0,0,1.142,2.119,4.414,1,0,0,2,0.0,1,0,0,-0.066,0,3.159,0,0,0,0
+630,1.455,7.93,0,2,2.249,0,0,3.232,10.635,0,2,9.928,33.3,0,2.5866,1.189,0,0.99,2.209,0,0,0,1,1.139,2.258,4.821,0,0,0,4,-0.135,1,0,0,-0.007,0,3.434,0,0,0,0
+631,0.393,9.576,0,4,2.37,0,0,4.133,13.055,0,0,10.867,47.4,0,2.1747,1.3,0,1.009,2.694,3,1,0,0,1.102,2.318,5.331,0,0,3,15,0.0,3,0,0,0.0,0,4.44,0,0,0,0
+632,1.187,8.116,0,1,2.194,0,0,3.127,10.118,0,1,9.631,47.1,0,3.0422,1.299,0,0.992,1.544,2,0,0,0,1.11,2.481,4.607,0,0,0,2,0.0,1,0,0,-0.025,0,3.651,0,0,0,0
+633,0.845,8.196,0,1,2.62,0,0,3.256,11.573,0,3,10.926,37.0,0,2.4937,1.254,0,0.978,0.811,0,0,0,1,1.131,2.091,5.814,0,0,0,4,0.513,3,0,2,0.003,0,3.756,0,0,0,0
+634,0.853,8.065,0,0,2.554,0,0,3.144,0.0,0,3,10.63,38.5,0,2.2966,1.267,0,0.964,0.986,0,0,0,2,1.128,1.658,5.637,0,0,0,0,1.646,3,0,1,-0.006,0,3.676,0,0,0,0
+635,0.845,8.05,0,1,2.62,0,0,3.227,0.0,0,3,10.926,34.5,0,2.4328,1.223,0,0.975,0.811,0,0,0,1,1.136,1.97,5.814,1,0,0,4,0.0,3,0,2,0.003,0,3.693,0,0,0,0
+636,0.959,7.829,0,2,2.236,0,0,2.767,9.827,0,0,9.464,40.0,0,2.9426,1.208,0,1.042,1.138,0,0,0,0,1.125,3.056,4.732,0,0,0,1,0.417,1,0,0,0.145,0,3.603,0,0,0,0
+637,0.664,8.33,0,2,2.376,0,0,3.266,10.843,0,0,10.037,50.0,0,2.7291,1.266,0,1.019,1.057,2,0,0,0,1.104,2.5,4.923,0,1,0,5,-0.199,3,0,0,-0.008,0,3.783,0,0,0,0
+638,1.203,8.002,0,2,2.152,0,0,2.935,9.774,0,0,9.209,45.5,0,3.2274,1.296,0,1.038,1.496,0,0,0,0,1.114,2.881,4.414,0,0,0,1,0.0,1,0,0,-0.085,0,3.67,0,0,0,0
+639,1.203,7.243,0,2,2.152,0,0,2.789,0.0,0,1,9.209,29.4,0,2.3717,1.141,0,1.004,1.496,0,0,0,0,1.147,2.405,4.414,1,0,0,1,0.0,1,0,0,-0.074,0,3.238,0,0,0,0
+640,0.762,8.508,1,2,2.424,0,2,3.38,21.888,2,0,10.226,50.0,0,2.8025,1.261,0,1.033,1.027,2,0,0,0,1.109,2.833,4.982,1,0,0,6,-0.601,3,0,0,0.004,0,3.853,0,2,0,0
+641,0.917,7.624,1,1,2.214,0,0,2.826,10.5,0,0,9.502,31.3,0,2.7156,1.19,0,0.998,0.918,0,0,0,0,1.148,2.452,4.651,0,0,0,3,0.292,1,0,0,-0.074,0,3.482,0,2,0,0
+642,0.0,8.357,1,0,2.323,0,1,3.174,0.0,2,0,9.805,50.0,0,3.0226,1.359,0,0.985,0.95,2,0,0,0,1.109,1.981,4.802,1,0,0,0,0.0,3,0,0,0.013,0,3.868,0,3,1,0
+643,0.917,9.289,0,3,2.256,0,0,3.108,20.417,0,0,9.968,23.1,0,3.2947,1.188,0,1.055,0.939,0,1,0,0,1.138,3.274,5.164,0,0,0,4,0.0,1,0,0,-0.081,0,4.681,0,0,0,0
+644,1.654,8.023,3,3,2.303,0,6,3.525,0.0,9,3,10.121,25.0,0,2.731,1.12,0,1.007,1.916,0,0,0,0,1.163,2.5,4.826,3,0,0,0,0.0,1,0,0,-0.001,0,3.396,0,3,0,0
+645,1.875,8.888,1,3,2.284,1,1,3.786,22.271,2,2,10.281,39.3,0,2.9046,1.227,0,1.025,3.31,2,1,0,0,1.127,2.736,4.829,1,1,1,6,-0.664,1,0,0,0.0,0,3.74,0,3,0,0
+646,1.871,9.993,4,11,2.466,0,2,4.381,35.388,7,0,11.509,23.5,0,2.3629,1.154,0,1.055,5.533,0,2,0,0,1.155,3.182,5.439,5,0,0,12,-0.945,2,0,0,0.0,0,4.61,0,4,0,0
+647,1.695,8.319,1,2,2.212,0,2,3.394,10.379,1,0,9.972,39.1,0,2.6454,1.218,0,1.008,2.815,1,0,0,0,1.13,2.764,4.739,3,0,0,2,-0.959,1,0,0,0.004,0,3.585,0,2,0,0
+648,2.128,8.992,2,4,2.125,0,0,3.714,20.538,0,0,10.094,23.1,0,3.7176,1.174,0,1.042,4.56,0,2,0,0,1.144,3.333,4.659,6,0,0,4,-2.138,0,0,0,-0.002,0,4.061,0,4,0,0
+649,3.322,7.896,0,0,1.978,0,0,3.699,0.0,0,2,9.707,32.3,0,2.8897,1.209,0,0.961,8.122,0,0,0,0,1.141,1.55,3.975,0,0,0,0,0.0,0,0,0,0.0,0,2.994,0,0,0,0
+650,0.971,6.635,1,0,1.848,0,0,2.373,0.0,2,3,8.597,25.0,0,2.607,1.133,0,0.97,1.542,0,0,0,0,1.161,2.167,4.17,2,0,0,0,0.0,0,0,0,0.322,0,2.983,0,1,0,0
+651,0.918,5.834,1,0,1.414,0,0,1.883,0.0,0,0,6.594,20.0,0,1.8227,1.126,0,0.975,1.333,0,0,0,0,1.174,2.167,3.0,1,0,0,0,0.0,0,0,0,0.764,0,2.642,0,0,0,0
+652,1.522,6.432,1,0,1.732,0,0,2.359,0.0,0,2,7.853,25.0,0,2.3911,1.129,0,0.97,2.094,0,0,0,0,1.161,1.9,3.618,1,0,0,0,0.0,0,0,0,0.33,0,2.848,0,2,0,0
+653,0.918,5.86,0,1,1.414,0,0,1.926,0.0,0,2,6.594,22.2,0,1.8205,1.06,0,0.998,1.333,0,0,0,0,1.162,3.167,3.0,1,0,0,0,0.0,0,0,0,0.826,0,2.651,0,0,0,0
+654,0.811,6.539,0,1,1.732,0,0,2.199,0.0,0,2,8.318,25.0,0,2.5101,1.118,0,0.988,1.0,0,0,0,0,1.156,2.833,4.0,1,0,0,0,0.0,0,0,0,-0.552,0,2.97,0,0,0,0
+655,1.891,7.197,0,1,2.042,0,0,2.946,0.0,0,3,9.202,29.6,0,3.1402,1.16,0,0.973,2.602,0,0,0,0,1.146,2.093,4.444,1,0,0,2,0.0,0,0,0,0.038,0,3.096,0,0,0,0
+656,2.281,7.087,0,1,1.902,0,0,2.938,0.0,0,2,8.743,29.6,0,2.6274,1.161,0,0.973,3.685,0,0,0,0,1.146,2.056,3.879,1,0,0,1,0.0,0,0,0,0.039,0,2.936,0,0,0,0
+657,2.807,7.552,0,1,1.956,0,0,3.364,0.0,0,2,9.296,31.0,0,2.7989,1.18,0,0.969,5.698,0,0,0,0,1.143,1.857,3.95,1,0,0,1,0.0,0,0,0,-0.002,0,2.976,0,0,0,0
+658,1.735,9.921,0,4,2.358,0,0,3.838,0.0,0,8,10.648,26.7,0,3.7046,1.532,0,0.979,1.69,0,1,0,0,1.139,2.108,5.391,0,0,0,12,0.0,0,0,0,0.0,0,5.127,0,0,0,0
+659,1.585,6.732,0,2,1.802,0,0,2.597,0.0,0,2,8.16,25.0,0,2.477,1.069,0,1.005,2.488,0,0,0,0,1.156,3.0,3.732,2,0,0,2,0.0,0,0,0,-0.229,0,2.897,0,0,0,0
+660,3.301,7.984,0,1,1.975,0,0,3.68,0.0,0,2,9.649,32.7,0,3.0163,1.202,0,0.968,7.718,0,0,0,0,1.14,1.816,3.973,1,0,0,1,0.0,0,0,0,0.0,0,3.129,0,0,0,0
+661,1.0,6.631,0,1,1.618,0,0,2.263,0.0,0,1,7.408,30.0,0,2.4719,1.141,0,0.998,1.707,0,0,0,0,1.146,3.125,3.414,1,0,0,1,0.0,0,0,0,-0.611,0,2.974,0,0,0,0
+662,1.0,6.251,1,1,1.618,0,0,2.211,0.0,0,2,7.408,18.2,0,2.1848,0.999,0,1.007,1.707,0,0,0,0,1.178,3.25,3.414,3,0,0,0,0.0,0,0,0,-0.603,0,2.79,0,1,0,0
+663,1.557,7.098,0,2,1.97,0,0,2.746,0.0,0,2,8.944,26.3,0,3.1387,1.099,0,0.998,2.195,0,0,0,0,1.153,2.548,4.334,1,0,0,2,0.0,0,0,0,0.135,0,3.114,0,0,0,0
+664,0.918,6.578,0,1,1.414,0,0,2.03,8.806,0,1,6.594,28.6,0,2.311,1.177,0,1.014,1.333,0,0,0,0,1.149,3.667,3.0,0,0,0,0,0.0,0,0,0,0.903,0,2.991,0,0,0,0
+665,0.971,7.056,0,1,1.848,0,0,2.466,9.505,0,2,8.597,30.8,0,2.8963,1.196,0,0.989,1.542,0,0,0,0,1.144,2.867,4.17,0,0,0,2,0.0,0,0,0,0.363,0,3.18,0,0,0,0
+666,1.379,7.473,0,1,2.0,0,0,2.768,10.254,0,3,9.222,31.6,0,3.1682,1.224,0,0.98,2.133,0,0,0,0,1.142,2.5,4.414,0,0,0,1,0.287,0,0,0,0.126,0,3.325,0,0,0,0
+667,1.379,7.758,0,2,2.0,0,0,2.847,20.067,0,2,9.222,33.3,0,3.4137,1.209,0,1.013,2.133,0,0,0,0,1.139,3.262,4.414,0,0,0,2,-0.125,0,0,0,0.144,0,3.426,0,0,0,0
+668,3.284,8.337,0,2,1.993,0,0,3.78,10.319,0,1,9.867,34.6,0,3.1869,1.212,0,0.977,8.066,0,0,0,0,1.136,2.133,4.236,1,0,0,2,-0.671,0,0,0,0.0,0,3.33,0,0,0,0
+669,1.837,7.912,0,3,2.074,0,0,3.082,20.676,0,2,9.454,31.6,0,4.0241,1.121,0,1.021,2.57,0,0,0,0,1.142,3.093,4.523,0,0,0,6,-0.913,0,0,0,0.048,0,3.494,0,0,0,0
+670,3.664,8.622,0,4,2.105,0,0,4.103,23.157,0,2,10.32,32.4,0,3.5408,1.181,0,0.982,9.847,0,0,0,0,1.14,2.083,4.475,0,0,0,6,-0.855,0,0,0,0.0,0,3.474,0,0,0,0
+671,2.929,8.951,0,6,2.262,0,0,4.293,37.824,0,6,10.906,32.5,0,5.6969,1.178,0,0.989,4.685,0,0,0,0,1.14,2.268,4.836,0,0,0,17,-0.851,0,0,0,0.0,0,3.526,0,0,0,0
+672,1.5,7.628,0,2,2.042,0,0,2.917,10.191,0,3,9.345,30.0,0,3.7418,1.153,0,0.998,2.34,0,0,0,0,1.146,2.625,4.476,0,0,0,2,-0.195,0,0,0,-0.079,0,3.389,0,0,0,0
+673,1.975,7.677,0,3,1.962,0,0,3.039,10.129,0,2,9.118,28.6,0,3.3919,1.124,0,1.014,3.449,0,0,0,0,1.149,2.685,4.235,0,0,0,1,-0.255,0,0,0,0.048,0,3.35,0,0,0,0
+674,2.252,8.09,0,4,2.044,0,0,3.345,20.772,0,1,9.625,30.8,0,3.3996,1.138,0,1.019,4.178,0,0,0,0,1.144,3.028,4.38,1,0,0,5,-1.068,0,0,0,-0.008,0,3.379,0,0,0,0
+675,4.437,9.075,0,4,2.086,0,0,4.587,23.892,0,2,10.757,33.9,0,3.4435,1.208,0,0.974,17.114,0,0,0,0,1.137,1.899,4.412,0,0,0,8,-0.268,0,0,0,0.0,0,3.395,0,0,0,0
+676,2.522,8.169,0,4,2.0,0,0,3.477,20.288,0,0,9.716,31.3,0,3.0402,1.139,0,1.008,5.475,0,0,0,0,1.143,2.952,4.243,2,0,0,4,-1.48,0,0,0,-0.002,0,3.337,0,0,0,0
+677,2.948,8.317,0,4,2.0,0,0,3.699,20.53,0,0,9.917,31.8,0,3.0152,1.158,0,0.995,7.174,0,0,0,0,1.142,2.63,4.237,2,0,0,4,-1.396,0,0,0,0.0,0,3.335,0,0,0,0
+678,3.774,8.752,0,8,2.085,0,0,4.201,23.21,0,2,10.379,30.6,0,3.7308,1.146,0,1.002,10.723,0,0,0,0,1.144,2.311,4.412,0,0,0,8,-0.554,0,0,0,0.0,0,3.397,0,0,0,0
+679,2.187,8.051,0,4,2.101,0,0,3.272,21.21,0,2,9.59,30.4,0,3.9936,1.142,0,1.027,3.207,0,0,0,0,1.145,2.985,4.544,0,0,0,6,-1.072,0,0,0,0.015,0,3.486,0,0,0,0
+680,4.044,9.017,0,4,2.08,0,0,4.363,23.602,0,2,10.513,32.3,0,3.455,1.202,0,0.979,12.745,0,1,0,0,1.138,1.976,4.399,0,0,0,8,-0.228,0,0,0,0.0,0,3.645,0,0,0,0
+681,1.922,8.016,0,4,2.127,0,0,3.192,20.872,0,2,9.565,30.0,0,4.2802,1.13,0,1.036,2.691,0,0,0,0,1.146,3.133,4.706,0,0,0,2,-1.853,0,0,0,-0.028,0,3.586,0,0,0,0
+682,2.21,8.143,0,2,2.147,0,0,3.447,11.115,0,3,9.961,33.3,0,4.0218,1.203,0,0.983,3.769,0,0,0,0,1.139,2.262,4.67,0,0,0,7,0.218,0,0,0,-0.002,0,3.53,0,0,0,0
+683,1.922,7.913,0,2,2.089,0,0,3.146,10.696,0,2,9.536,33.3,0,3.7043,1.197,0,0.993,3.237,0,0,0,0,1.139,2.533,4.644,0,0,0,6,0.185,0,0,0,-0.025,0,3.525,0,0,0,0
+684,3.418,8.459,0,2,2.094,0,0,3.939,11.181,0,2,10.195,33.3,0,3.122,1.21,0,0.973,9.52,0,0,0,0,1.138,1.931,4.644,0,0,0,6,0.238,0,0,0,0.0,0,3.525,0,0,0,0
+685,1.5,8.016,0,4,2.0,0,0,3.047,19.107,0,0,9.309,33.3,0,3.9399,1.108,0,1.09,2.682,0,0,0,0,1.139,4.167,4.343,2,0,0,4,-2.514,0,0,0,-0.097,0,3.519,0,0,0,0
+686,0.971,7.299,0,3,1.848,0,0,2.555,9.118,0,1,8.597,22.2,0,3.2723,1.018,0,1.083,1.542,0,0,0,0,1.162,4.433,4.17,2,0,0,0,-1.19,0,0,0,0.46,0,3.333,0,0,0,0
+687,1.859,8.066,0,3,2.12,0,0,3.256,21.203,0,3,9.768,32.0,0,4.0275,1.174,0,1.007,3.114,0,0,0,0,1.141,2.833,4.588,0,0,0,5,-0.579,0,0,0,0.014,0,3.48,0,0,0,0
+688,0.971,7.564,1,0,1.848,0,0,2.559,0.0,2,1,8.597,40.0,0,3.3821,1.332,0,0.987,1.542,0,0,0,0,1.133,3.033,4.17,0,0,0,0,0.56,0,0,0,0.401,0,3.452,0,1,0,0
+689,1.5,9.315,1,3,2.112,0,0,3.176,19.811,0,0,9.872,17.6,0,3.8431,1.131,0,1.041,2.472,0,1,0,0,1.159,3.552,5.098,2,0,0,3,0.0,0,0,0,-0.085,0,4.692,0,1,0,0
+690,1.459,8.172,0,2,1.902,1,0,2.953,9.587,0,1,8.755,27.3,1,3.5181,1.174,0,1.057,2.052,0,1,0,0,1.146,3.296,4.214,0,0,0,1,-0.738,0,0,0,-0.263,0,3.815,0,0,0,0
+691,2.911,9.153,0,4,2.121,0,0,3.72,10.364,0,1,10.229,27.3,0,3.1338,1.168,0,0.992,6.651,0,1,0,0,1.145,2.459,5.098,2,0,0,4,0.0,0,0,0,0.0,0,4.45,0,0,0,0
+692,1.922,7.909,0,0,2.031,0,0,3.129,0.0,0,2,9.494,38.5,0,3.4629,1.288,0,0.964,3.412,0,0,0,0,1.128,2.033,4.372,0,0,0,0,2.495,0,0,0,-0.023,0,3.363,0,0,0,0
+693,1.393,7.303,0,2,2.214,0,0,2.507,0.0,0,1,8.723,27.3,0,2.2197,1.018,0,1.028,1.542,0,0,0,0,1.151,2.767,4.17,1,0,0,1,0.0,1,0,0,-0.228,0,3.325,0,0,0,0
+694,1.95,7.119,0,1,1.848,0,0,2.746,0.0,0,2,8.394,31.6,0,2.8425,1.169,0,0.98,2.885,0,0,0,0,1.142,2.357,3.802,1,0,0,1,0.0,0,0,0,0.129,0,3.104,0,0,0,0
+695,1.975,7.316,0,2,1.962,0,0,2.975,0.0,0,2,9.118,28.0,0,3.0785,1.137,0,0.989,3.449,0,0,0,0,1.15,2.315,4.235,1,0,0,2,0.0,0,0,0,0.043,0,3.112,0,0,0,0
+696,3.022,8.618,0,6,2.161,0,0,3.987,23.23,0,4,10.465,31.0,0,3.995,1.149,0,1.0,8.486,0,0,0,0,1.143,2.375,4.752,0,0,0,10,-0.307,0,0,0,0.0,0,3.451,0,0,0,0
+697,1.79,8.202,0,4,2.136,0,0,3.305,20.666,0,2,9.768,33.3,0,4.7233,1.163,0,1.035,2.612,0,0,0,0,1.139,3.152,4.618,0,0,0,6,-1.035,0,0,0,0.016,0,3.493,0,0,0,0
+698,0.918,8.83,2,2,2.0,0,0,2.978,9.461,0,0,9.184,10.0,0,4.1592,1.152,0,1.082,1.521,0,1,0,0,1.175,4.148,4.562,4,0,0,0,-0.713,0,0,0,-0.274,0,4.307,0,0,0,0
+699,1.185,8.083,0,0,2.236,0,0,3.164,0.0,0,3,9.882,41.7,0,2.8938,1.299,0,0.966,1.74,2,0,0,0,1.121,1.867,4.77,0,0,0,0,0.0,1,0,0,0.012,0,3.646,0,0,0,0
+700,1.409,7.884,1,0,2.149,0,2,3.073,0.0,1,1,9.391,40.0,0,2.6422,1.266,0,0.976,2.036,1,0,0,0,1.129,2.074,4.517,2,0,0,0,0.0,1,0,0,-0.024,0,3.553,0,1,0,0
+701,0.802,7.811,0,1,2.101,0,0,2.884,0.0,0,0,9.183,46.2,0,3.135,1.264,0,0.998,0.975,1,0,0,0,1.112,2.524,4.414,1,0,1,2,0.0,1,0,0,-0.08,0,3.566,0,0,0,0
+702,0.875,8.008,0,2,2.194,0,0,3.025,0.0,0,0,9.579,42.9,0,3.3319,1.219,0,1.022,0.854,2,0,0,0,1.119,2.917,4.732,2,0,2,4,0.0,1,0,0,0.047,0,3.67,0,0,0,0
+703,1.187,8.058,0,2,2.194,0,0,3.118,0.0,0,0,9.631,41.2,0,3.1517,1.214,0,1.011,1.544,2,0,0,0,1.122,2.537,4.607,1,0,2,4,0.0,1,0,0,-0.026,0,3.649,0,0,0,0
+704,1.546,8.364,0,2,2.305,0,0,3.451,0.0,0,0,10.067,40.7,0,3.1976,1.248,0,0.994,2.0,3,0,0,0,1.123,2.192,4.898,0,0,2,4,0.0,1,0,0,-0.002,0,3.729,0,0,0,0
+705,0.861,9.154,0,1,2.307,3,0,3.66,0.0,0,0,10.06,46.2,1,3.567,1.334,0,1.073,0.962,4,3,0,0,1.099,2.9,4.97,1,0,4,2,0.0,1,0,0,0.015,0,4.106,0,0,0,0
+706,1.273,8.238,0,1,2.251,0,0,3.294,10.288,0,2,9.947,43.5,0,2.9304,1.28,0,0.984,1.951,2,0,0,0,1.117,2.333,4.782,0,0,0,2,0.0,1,0,0,-0.007,0,3.671,0,0,0,0
+707,1.528,8.362,0,3,2.29,0,0,3.404,10.337,0,1,10.009,40.9,0,3.2685,1.22,0,1.018,1.945,3,0,0,0,1.123,2.75,4.869,1,0,2,6,0.0,1,0,0,0.004,0,3.743,0,0,0,0
+708,0.75,9.007,0,6,2.532,0,0,3.788,44.736,0,0,10.813,55.6,0,2.4524,1.225,0,1.103,1.508,4,0,0,0,1.093,3.271,5.156,0,4,0,16,-3.296,6,0,0,0.0,0,3.986,0,0,0,0
+709,1.875,8.642,0,4,2.349,0,0,3.678,23.088,0,2,10.32,40.0,0,3.2754,1.21,0,1.016,2.707,2,0,0,0,1.125,2.667,5.072,0,2,0,10,-1.016,1,0,0,0.0,0,3.793,0,0,0,0
+710,1.563,9.005,0,4,2.355,0,0,4.037,24.332,0,1,10.658,44.2,0,2.2282,1.243,0,1.003,4.684,3,0,0,0,1.116,2.406,5.074,0,2,0,13,-1.025,2,0,0,0.0,0,3.798,0,0,0,0
+711,2.123,8.776,0,4,2.351,0,0,3.808,23.409,0,0,10.379,43.8,0,3.1939,1.235,0,1.015,3.342,2,0,0,0,1.117,2.704,5.072,0,2,0,12,-1.165,1,0,0,0.0,0,3.795,0,0,0,0
+712,1.59,8.591,0,4,2.297,0,0,3.571,22.051,0,0,10.236,41.7,0,3.0864,1.203,0,1.03,2.573,2,0,0,0,1.121,2.833,4.876,0,2,0,10,-0.858,1,0,0,0.001,0,3.755,0,0,0,0
+713,1.258,8.382,0,2,2.278,0,0,3.39,10.482,0,2,10.136,41.7,0,2.9844,1.238,0,0.998,2.113,2,0,0,0,1.121,2.611,4.842,1,0,0,4,-0.87,1,0,0,0.004,0,3.718,0,0,0,0
+714,0.762,8.527,0,3,2.424,0,0,3.39,21.666,0,0,10.226,53.3,0,2.8539,1.249,0,1.05,1.027,2,0,0,0,1.097,2.924,4.982,0,2,0,8,-1.101,3,0,0,0.004,0,3.866,0,0,0,0
+715,0.584,8.88,0,4,2.265,0,0,3.838,22.962,0,0,10.424,50.0,0,2.2467,1.248,0,1.026,4.401,2,0,0,0,1.104,2.648,4.828,0,0,0,10,-1.417,2,0,0,0.0,0,3.715,0,0,0,0
+716,2.419,9.032,0,6,2.4,0,0,4.156,36.905,0,3,10.778,36.8,0,3.2785,1.195,0,1.004,3.368,3,0,0,0,1.131,2.481,5.12,0,3,0,18,-1.775,1,0,0,0.0,0,3.852,0,0,0,0
+717,1.187,8.161,0,2,2.194,0,0,3.151,10.201,0,0,9.642,46.7,0,3.0836,1.235,0,1.02,1.659,1,0,0,0,1.111,2.926,4.732,1,0,0,4,-0.879,1,0,0,-0.026,0,3.663,0,0,0,0
+718,1.185,8.288,1,2,2.236,0,1,3.249,10.271,2,0,9.882,41.2,0,3.1187,1.219,0,1.024,1.74,2,0,0,0,1.127,3.0,4.77,3,0,1,4,-0.931,1,0,0,0.015,0,3.707,0,2,0,0
+719,2.071,8.502,0,3,2.29,0,0,3.59,11.465,0,2,10.241,38.7,0,2.7402,1.223,0,1.002,3.744,2,0,0,0,1.127,2.522,4.951,1,1,1,9,-0.464,1,0,0,-0.001,0,3.743,0,0,0,0
+720,1.185,8.303,0,3,2.267,0,0,3.261,10.262,0,0,9.911,43.8,0,3.3133,1.207,0,1.04,1.563,2,0,0,0,1.117,3.2,4.923,2,0,1,7,-1.113,1,0,0,0.015,0,3.741,0,0,0,0
+721,1.508,8.567,0,4,2.307,0,0,3.513,21.185,0,1,10.173,42.9,0,3.3935,1.211,0,1.04,2.228,2,0,0,0,1.119,3.09,4.972,1,0,1,8,-1.648,1,0,0,-0.002,0,3.761,0,0,0,0
+722,2.125,8.635,0,4,2.282,0,0,3.678,22.67,0,1,10.281,40.0,0,2.7876,1.217,0,1.016,3.549,2,0,0,0,1.125,2.667,4.845,0,0,1,8,-0.746,1,0,0,0.0,0,3.718,0,0,0,0
+723,1.185,9.474,0,3,2.288,0,0,3.425,20.777,0,0,10.25,37.5,0,3.4619,1.246,0,1.044,1.726,1,1,0,0,1.112,3.258,5.31,1,0,1,6,0.0,1,0,0,0.015,0,4.734,0,0,0,0
+724,0.802,7.446,0,1,2.101,0,0,2.801,10.463,0,0,9.183,35.3,0,2.2808,1.197,0,0.985,0.975,0,0,0,0,1.134,2.31,4.414,0,0,0,2,0.464,1,0,0,-0.069,0,3.344,0,0,0,0
+725,0.985,8.68,0,2,2.359,0,0,3.532,10.645,0,0,10.277,52.4,0,2.736,1.296,0,1.009,1.762,3,0,0,0,1.099,2.59,4.963,1,0,0,4,-0.884,3,0,0,0.001,0,3.881,0,0,0,0
+726,0.943,8.386,0,3,2.36,0,0,3.359,10.31,0,0,10.07,47.1,0,2.6955,1.243,0,1.037,1.496,3,0,0,0,1.11,2.591,4.877,0,0,2,6,0.0,3,0,0,0.004,0,3.775,0,0,0,0
+727,0.802,7.809,1,1,2.101,0,0,2.898,10.249,1,0,9.183,41.7,0,2.8449,1.254,0,1.016,0.975,0,0,0,0,1.128,2.738,4.414,1,0,0,2,0.041,1,0,0,-0.082,0,3.535,0,2,0,0
+728,0.985,8.702,1,2,2.359,0,1,3.539,10.582,3,0,10.277,50.0,0,2.8471,1.277,0,1.02,1.762,2,0,0,0,1.108,2.667,4.963,1,0,0,2,-0.995,3,0,0,0.001,0,3.899,0,4,0,0
+729,1.425,8.121,0,4,2.274,0,0,3.354,10.582,0,3,10.091,30.8,0,2.8739,1.149,0,1.019,2.257,0,0,0,0,1.144,2.556,4.789,0,0,0,6,-0.318,1,0,0,0.004,0,3.477,0,0,0,0
+730,0.75,7.556,1,1,2.091,0,0,2.93,10.572,2,0,9.272,31.6,0,2.3925,1.177,0,0.992,1.017,0,0,0,0,1.147,2.333,4.362,1,0,0,2,0.225,1,0,0,0.041,0,3.355,0,2,0,0
+731,1.792,7.88,0,6,2.247,0,0,3.342,0.0,0,2,10.074,23.1,0,4.2631,1.011,0,1.044,2.666,0,0,0,0,1.16,3.694,4.983,6,0,0,8,0.0,0,0,0,-0.008,0,3.397,0,0,0,0
+732,3.866,8.727,0,6,2.361,0,0,4.19,11.756,0,1,10.735,31.6,0,1.8975,1.157,0,0.991,10.593,0,0,0,0,1.142,2.267,4.977,3,0,0,9,-0.336,1,0,0,0.0,0,3.497,0,0,0,0
+733,1.437,8.338,1,6,2.402,0,1,3.592,10.741,1,2,10.493,26.7,0,3.0492,1.083,0,1.042,2.081,0,0,0,0,1.155,3.256,5.164,5,0,0,9,-0.462,1,0,0,-0.001,0,3.551,0,3,0,0
+734,1.585,6.675,2,0,1.802,0,0,2.553,0.0,2,1,8.16,22.2,0,2.4945,1.119,0,0.979,2.488,0,0,0,0,1.171,2.167,3.732,3,0,0,0,0.0,0,0,0,-0.212,0,2.89,0,2,0,0
+735,3.146,7.749,1,0,1.97,0,2,3.545,0.0,2,2,9.522,30.8,0,2.9244,1.194,0,0.964,6.909,0,0,0,0,1.145,1.618,3.966,1,0,0,0,0.0,0,0,0,0.0,0,3.005,0,2,0,0
+736,3.792,8.228,0,1,1.987,0,0,4.008,0.0,0,2,10.039,32.1,0,2.958,1.198,0,0.965,10.955,0,0,0,0,1.141,1.685,3.986,1,0,0,1,0.0,0,0,0,0.0,0,3.01,0,0,0,0
+737,1.975,7.229,0,1,1.962,0,0,2.946,0.0,0,2,9.118,29.6,0,2.7848,1.168,0,0.973,3.449,0,0,0,0,1.146,2.093,4.235,1,0,0,1,0.0,0,0,0,0.039,0,3.064,0,0,0,0
+738,3.974,8.211,0,1,2.236,0,0,3.78,0.0,0,1,9.949,32.8,0,1.599,1.189,0,0.967,8.475,0,0,0,0,1.14,1.611,4.236,0,0,0,1,0.0,1,0,0,0.0,0,3.322,0,0,0,0
+739,1.906,7.149,0,2,2.0,0,0,2.867,0.0,0,3,9.059,27.3,0,3.0285,1.123,0,0.993,2.524,0,0,0,0,1.151,2.667,4.362,2,0,0,2,0.0,0,0,0,-0.074,0,3.076,0,0,0,0
+740,1.379,7.714,0,1,2.0,0,0,2.812,10.178,0,3,9.222,35.3,0,3.7375,1.258,0,0.985,2.133,0,0,0,0,1.134,2.619,4.414,0,0,0,1,1.188,0,0,0,0.135,0,3.467,0,0,0,0
+741,0.811,7.178,0,2,1.732,0,0,2.334,9.0,0,1,8.318,25.0,0,3.2163,1.076,0,1.053,1.0,0,0,0,0,1.156,4.167,4.0,1,0,0,0,-0.833,0,0,0,-0.687,0,3.304,0,0,0,0
+742,4.297,8.926,0,4,2.086,0,0,4.486,23.775,0,2,10.675,32.8,0,3.402,1.193,0,0.974,15.507,0,0,0,0,1.14,1.889,4.412,0,0,0,6,-0.327,0,0,0,0.0,0,3.405,0,0,0,0
+743,3.181,8.619,0,4,2.14,0,0,4.039,23.596,0,4,10.485,32.4,0,4.002,1.18,0,0.983,8.016,0,0,0,0,1.141,2.154,4.534,0,0,0,10,-0.28,0,0,0,0.0,0,3.408,0,0,0,0
+744,3.774,8.67,0,4,2.068,0,0,4.167,23.377,0,2,10.379,32.5,0,3.408,1.186,0,0.98,10.97,0,0,0,0,1.14,2.044,4.386,0,0,0,8,-0.09,0,0,0,0.0,0,3.376,0,0,0,0
+745,2.187,8.478,0,4,2.0,0,0,3.41,19.933,0,0,9.533,28.6,0,3.1913,1.159,0,1.038,4.143,0,1,0,0,1.135,3.379,4.263,2,0,0,4,-1.68,0,0,0,0.015,0,3.643,0,0,0,0
+746,0.971,7.404,1,1,1.848,0,0,2.548,9.472,1,0,8.597,30.0,0,3.4143,1.174,0,1.02,1.542,0,0,0,0,1.154,3.533,4.17,2,0,0,1,-0.481,0,0,0,0.425,0,3.379,0,1,0,0
+747,2.134,8.131,1,2,2.122,0,1,3.39,10.961,0,3,9.916,31.3,0,4.0313,1.184,0,0.991,3.936,0,0,0,0,1.145,2.372,4.65,0,0,0,5,0.159,0,0,0,0.004,0,3.527,0,3,0,0
+748,2.3,7.864,1,2,2.011,0,1,3.233,10.535,2,1,9.338,30.8,0,3.4478,1.169,0,0.998,4.098,0,0,0,0,1.147,2.515,4.347,1,0,0,4,-0.193,0,0,0,0.014,0,3.405,0,1,0,0
+749,1.5,8.016,0,4,2.0,0,0,3.047,19.107,0,0,9.309,33.3,0,3.9399,1.108,0,1.09,2.682,0,0,0,0,1.139,4.167,4.343,2,0,0,4,-2.514,0,0,0,-0.097,0,3.519,0,0,0,0
+750,0.918,7.507,0,3,2.0,0,0,2.71,9.449,0,1,9.184,25.0,0,3.6148,1.066,0,1.053,1.521,0,0,0,0,1.156,4.0,4.562,2,0,0,2,-1.185,0,0,0,-0.265,0,3.424,0,0,0,0
+751,1.436,8.03,0,5,2.117,0,0,3.138,19.412,0,0,9.666,26.7,0,3.9139,1.066,0,1.086,2.428,0,0,0,0,1.153,4.241,4.691,3,0,0,5,-2.845,0,0,0,0.053,0,3.49,0,0,0,0
+752,1.5,7.864,0,3,2.042,0,0,2.985,20.291,0,1,9.345,31.3,0,3.72,1.156,0,1.032,2.34,0,0,0,0,1.143,3.292,4.476,0,0,0,4,-0.644,0,0,0,-0.088,0,3.458,0,0,0,0
+753,3.09,8.562,0,7,2.061,0,0,3.819,21.678,0,0,9.999,32.4,0,3.9908,1.135,0,1.034,6.884,0,0,0,0,1.141,2.833,4.385,0,0,0,10,-1.569,0,0,0,0.0,0,3.432,0,0,0,0
+754,1.73,8.19,4,2,2.194,0,2,3.354,20.829,8,2,9.99,23.1,0,4.5316,1.117,0,1.018,2.395,0,0,0,0,1.173,3.083,4.791,6,0,0,2,-1.384,0,0,0,-0.008,0,3.467,0,2,0,0
+755,1.837,7.827,0,1,2.0,0,0,3.027,10.396,0,3,9.389,34.8,0,3.3317,1.236,0,0.979,3.193,0,0,0,0,1.135,2.37,4.303,0,0,0,1,1.559,0,0,0,0.042,0,3.349,0,0,0,0
+756,1.125,8.337,0,0,2.136,1,0,3.185,0.0,0,1,9.311,46.7,1,2.8945,1.323,0,0.991,1.481,1,1,0,0,1.107,2.16,4.499,0,0,0,0,0.0,1,0,0,0.043,0,3.692,0,0,0,0
+757,1.911,8.461,1,2,2.202,0,2,3.482,21.674,3,1,9.989,41.7,0,2.6738,1.256,0,1.007,3.267,1,0,0,0,1.125,2.692,4.651,1,0,1,3,-0.396,1,0,0,-0.002,0,3.611,0,3,0,0
+758,1.876,8.548,1,2,2.236,0,2,3.547,21.814,3,2,10.164,40.7,0,2.7215,1.259,0,1.002,3.356,2,0,0,0,1.126,2.619,4.692,1,0,1,3,-0.393,1,0,0,0.001,0,3.659,0,3,0,0
+759,1.705,8.223,1,1,2.166,0,2,3.298,10.506,2,1,9.722,40.9,0,2.5935,1.253,0,0.993,2.905,1,0,0,0,1.127,2.394,4.543,1,0,0,1,0.008,1,0,0,-0.008,0,3.567,0,2,0,0
+760,3.355,8.486,0,1,2.214,0,0,3.874,0.0,0,1,10.213,36.2,0,1.8048,1.236,0,0.97,8.143,2,0,0,0,1.132,1.833,4.653,1,0,1,2,0.0,1,0,0,0.0,0,3.64,0,0,0,0
+761,0.875,8.003,0,2,2.17,0,0,3.025,0.0,0,0,9.54,42.9,0,3.2113,1.209,0,1.022,1.14,2,0,0,0,1.119,2.917,4.562,2,0,2,4,0.0,1,0,0,0.047,0,3.646,0,0,0,0
+762,1.185,8.251,0,1,2.236,0,0,3.217,10.757,0,2,9.882,45.0,0,3.031,1.294,0,0.987,1.74,2,0,0,0,1.114,2.4,4.77,0,0,0,2,0.125,1,0,0,0.014,0,3.695,0,0,0,0
+763,2.972,8.984,0,4,2.351,0,0,4.22,24.843,0,4,10.799,36.1,0,2.4853,1.22,0,0.984,7.668,2,0,0,0,1.133,2.144,5.072,0,2,0,12,-0.892,1,0,0,0.0,0,3.794,0,0,0,0
+764,1.258,8.529,0,4,2.288,0,0,3.451,20.766,0,0,10.136,44.4,0,3.2502,1.194,0,1.053,2.011,2,0,0,0,1.116,3.389,4.882,2,0,0,8,-2.254,1,0,0,0.005,0,3.762,0,0,0,0
+765,0.625,8.765,0,3,2.286,0,0,3.716,11.622,0,0,10.35,50.0,0,2.3785,1.266,0,1.015,3.405,3,0,0,0,1.104,2.573,4.844,1,1,2,9,-0.439,2,0,0,0.0,0,3.736,0,0,0,0
+766,1.185,7.981,0,0,2.236,0,0,3.131,0.0,0,3,9.882,38.5,0,2.6687,1.264,0,0.964,1.74,0,0,0,0,1.128,1.75,4.77,0,0,0,0,4.722,1,0,0,0.012,0,3.533,0,0,0,0
+767,0.0,7.764,1,0,2.236,0,2,3.343,0.0,4,0,9.971,33.3,0,1.7703,1.185,0,0.967,2.829,0,0,0,0,1.141,1.551,4.675,1,0,0,0,0.0,2,0,0,0.001,0,3.269,0,4,0,0
+768,0.0,9.309,0,3,2.236,0,0,4.173,0.0,0,0,10.642,45.7,0,1.7575,1.297,0,0.993,3.604,3,1,0,0,1.107,2.043,4.645,0,0,0,12,0.0,3,0,0,0.0,0,3.957,0,0,0,0
+769,1.261,8.192,0,2,2.222,0,0,3.233,10.219,0,0,9.715,44.4,0,3.1788,1.246,0,1.011,1.695,2,0,0,0,1.116,2.583,4.679,0,0,1,4,0.0,1,0,0,0.014,0,3.67,0,0,0,0
+770,0.569,11.612,0,0,2.3,1,0,4.043,0.0,0,0,10.135,54.5,0,2.4397,1.381,1,0.984,2.241,3,1,0,0,1.087,1.981,4.863,0,0,1,0,0.0,2,0,0,0.001,0,6.879,1,0,0,0
+771,0.929,7.487,0,2,2.136,0,0,2.566,9.677,0,0,9.053,33.3,0,2.7716,1.127,0,1.047,0.964,0,0,0,0,1.139,3.033,4.481,0,0,0,1,-0.065,1,0,0,-0.239,0,3.454,0,0,0,0
+772,1.203,7.872,0,2,2.152,0,0,2.895,0.0,0,1,9.209,38.5,0,3.0463,1.241,0,1.023,1.496,0,0,0,0,1.128,2.667,4.414,1,0,0,1,0.0,1,0,0,-0.083,0,3.637,0,0,0,0
+773,0.862,7.481,0,2,2.115,0,0,2.709,10.021,0,0,9.067,33.3,0,2.6696,1.166,0,1.025,0.956,0,0,0,0,1.139,2.778,4.303,0,0,0,2,-0.046,1,0,0,0.137,0,3.416,0,0,0,0
+774,1.233,8.043,0,3,2.288,0,0,3.12,21.128,0,1,9.856,35.3,0,2.757,1.19,0,1.03,1.585,0,0,0,1,1.135,3.019,4.875,0,0,0,6,-0.444,1,0,0,-0.026,0,3.588,0,0,0,0
+775,0.917,7.713,0,3,2.199,0,0,2.875,10.009,0,1,9.459,30.8,0,2.9065,1.119,0,1.049,1.101,0,0,0,0,1.144,2.929,4.414,0,0,0,3,-0.549,1,0,0,-0.085,0,3.512,0,0,0,0
+776,1.258,8.553,1,4,2.288,0,0,3.459,20.641,1,0,10.136,41.2,0,3.3902,1.179,0,1.069,2.011,0,0,0,0,1.127,3.472,4.882,2,0,0,4,-2.476,1,0,0,0.005,0,3.785,0,4,0,0
+777,0.971,7.273,1,2,1.848,0,0,2.533,9.243,0,1,8.597,20.0,0,3.1898,1.032,0,1.052,1.542,0,0,0,0,1.175,4.033,4.17,3,0,0,0,-0.968,0,0,0,0.441,0,3.326,0,1,0,0
+778,0.917,7.873,2,2,2.199,0,0,2.915,20.069,0,0,9.459,27.3,0,2.9195,1.127,0,1.067,1.101,0,0,0,0,1.166,3.405,4.414,2,0,0,3,-0.657,1,0,0,-0.087,0,3.556,0,2,0,0
+779,1.258,8.441,1,3,2.352,0,1,3.418,10.46,2,2,10.189,38.1,0,3.5506,1.204,0,1.029,1.244,0,0,0,0,1.133,3.014,5.076,2,0,1,7,0.0,1,0,0,0.004,0,3.821,0,3,0,0
+780,1.761,8.044,2,3,2.107,0,2,3.198,20.135,2,0,9.723,25.0,0,3.6465,1.1,0,1.036,2.989,0,0,0,0,1.164,3.567,4.655,5,0,0,3,-1.641,0,0,0,-0.028,0,3.445,0,3,0,0
+781,1.0,7.775,0,0,1.618,1,0,2.631,0.0,0,1,7.408,33.3,1,2.4441,1.291,0,0.997,1.707,0,1,0,0,1.132,2.653,3.414,0,0,0,0,0.0,0,0,0,-0.575,0,3.567,0,0,0,0
+782,1.459,6.978,0,3,1.932,0,0,2.648,0.0,0,2,8.815,21.4,0,3.0634,0.995,0,1.037,1.745,0,0,0,0,1.164,3.722,4.303,3,0,0,2,0.0,0,0,0,-0.253,0,3.102,0,0,0,0
+783,1.459,7.899,0,2,1.932,1,0,2.913,0.0,0,2,8.815,23.1,1,3.0468,1.09,0,1.039,1.745,0,1,0,0,1.156,3.407,4.303,2,0,0,1,0.0,0,0,0,-0.244,0,3.579,0,0,0,0
+784,1.459,6.954,1,1,1.902,0,0,2.587,0.0,0,1,8.755,23.5,0,2.9483,1.127,0,0.991,2.052,0,0,0,0,1.164,2.5,4.214,1,0,0,0,0.0,0,0,0,-0.223,0,3.077,0,1,0,0
+785,1.585,6.799,1,2,1.802,0,0,2.616,0.0,0,1,8.16,20.0,0,2.6724,1.024,0,1.019,2.488,0,0,0,0,1.172,3.167,3.732,3,0,0,1,0.0,0,0,0,-0.247,0,2.938,0,1,0,0
+786,1.0,7.145,0,2,1.618,0,0,2.39,17.611,0,0,7.408,33.3,0,2.956,1.171,0,1.09,1.707,0,0,0,0,1.139,4.5,3.414,0,0,0,0,0.0,0,0,0,-0.723,0,3.218,0,0,0,0
+787,3.122,8.216,0,2,2.0,0,0,3.751,10.334,0,2,10.004,32.1,0,2.9854,1.193,0,0.974,8.008,0,0,0,0,1.141,2.05,4.236,1,0,0,2,-0.654,0,0,0,0.0,0,3.329,0,0,0,0
+788,3.524,8.492,0,4,2.088,0,0,3.997,11.373,0,2,10.224,32.3,0,3.3098,1.173,0,0.984,9.6,0,0,0,0,1.141,2.22,4.462,2,0,0,5,-0.287,0,0,0,0.0,0,3.384,0,0,0,0
+789,0.811,7.135,1,1,1.732,0,0,2.306,9.222,0,1,8.318,22.2,0,3.078,1.113,0,1.022,1.0,0,0,0,0,1.171,3.667,4.0,2,0,0,0,-0.333,0,0,0,-0.65,0,3.281,0,1,0,0
+790,1.922,7.811,0,3,2.031,0,0,3.138,10.251,0,2,9.494,29.2,0,3.5554,1.136,0,1.007,3.412,0,0,0,0,1.147,2.6,4.372,0,0,0,3,-0.233,0,0,0,-0.026,0,3.355,0,0,0,0
+791,3.554,8.397,0,2,2.051,0,0,3.935,11.42,0,2,10.06,33.3,0,3.2243,1.203,0,0.973,9.36,0,0,0,0,1.138,1.903,4.382,0,0,0,4,-0.013,0,0,0,0.0,0,3.366,0,0,0,0
+792,0.971,7.436,0,2,1.848,0,0,2.57,9.25,0,0,8.597,33.3,0,3.5122,1.147,0,1.047,1.542,0,0,0,0,1.139,3.933,4.17,1,0,0,2,-0.981,0,0,0,0.444,0,3.396,0,0,0,0
+793,1.975,7.73,0,2,2.0,0,0,3.048,10.346,0,1,9.16,33.3,0,3.4572,1.181,0,0.998,3.165,0,0,0,0,1.139,2.63,4.346,0,0,0,4,-0.33,0,0,0,0.046,0,3.423,0,0,0,0
+794,1.837,7.958,0,2,2.084,0,0,3.09,10.532,0,1,9.467,36.8,0,3.9848,1.223,0,1.004,2.732,0,0,0,0,1.131,2.815,4.644,0,0,0,6,0.048,0,0,0,0.048,0,3.529,0,0,0,0
+795,2.117,8.143,4,2,2.098,0,4,3.347,10.217,4,0,9.828,23.1,0,3.6462,1.104,0,1.018,4.049,0,0,0,0,1.173,3.097,4.645,7,0,0,2,-0.987,0,0,0,-0.008,0,3.432,0,3,0,0
+796,1.182,9.841,0,12,2.475,0,0,5.043,38.399,0,3,11.662,34.1,0,0.8039,1.173,0,0.989,11.072,0,0,0,0,1.137,1.998,4.645,0,0,0,23,-0.966,6,0,0,0.0,0,3.58,0,0,0,0
+797,2.322,7.617,1,0,1.919,0,1,3.092,0.0,1,1,8.881,33.3,0,2.7284,1.233,0,0.969,4.086,0,0,0,0,1.141,2.1,3.902,0,0,0,0,0.0,0,0,0,-0.022,0,3.24,0,1,0,0
+798,0.918,6.984,1,0,1.414,0,0,2.081,0.0,0,1,6.594,33.3,0,2.5124,1.303,0,0.998,1.333,0,0,0,0,1.152,3.5,3.0,0,0,0,0,0.0,0,0,0,0.917,0,3.201,0,1,0,0
+799,1.906,7.868,1,2,2.0,0,0,2.997,10.198,1,1,9.059,33.3,0,3.6459,1.205,0,1.027,2.524,0,0,0,0,1.144,3.208,4.362,0,0,0,3,-0.449,0,0,0,-0.089,0,3.441,0,1,0,0
+800,4.3,9.326,0,3,2.121,0,0,4.808,0.0,0,3,10.919,32.0,0,4.1188,1.211,0,0.967,10.634,0,1,0,0,1.14,1.622,4.5,0,0,0,9,0.0,0,0,0,0.0,0,3.939,0,0,0,0
+801,1.461,8.187,1,1,2.175,0,1,3.222,10.502,2,1,9.665,42.1,0,2.8754,1.264,0,0.998,2.298,1,0,0,0,1.125,2.483,4.593,1,0,1,1,-0.036,1,0,0,0.014,0,3.599,0,3,0,0
+802,1.125,7.83,1,0,2.136,0,2,2.976,0.0,2,1,9.311,41.2,0,2.8728,1.257,0,0.979,1.481,1,0,0,0,1.127,2.146,4.499,2,0,0,0,0.0,1,0,0,0.043,0,3.554,0,1,0,0
+803,0.875,8.003,0,2,2.175,0,0,3.025,0.0,0,0,9.54,42.9,0,3.2643,1.223,0,1.022,1.069,2,0,0,0,1.119,2.917,4.596,2,0,2,4,0.0,1,0,0,0.047,0,3.651,0,0,0,0
+804,1.409,7.928,0,1,2.149,0,0,3.086,0.0,0,1,9.391,42.1,0,2.898,1.252,0,0.987,2.036,1,0,0,0,1.12,2.074,4.517,0,0,1,2,0.0,1,0,0,-0.025,0,3.574,0,0,0,0
+805,1.187,8.042,1,1,2.194,0,1,3.105,0.0,2,0,9.631,38.9,0,3.1199,1.227,0,0.998,1.544,2,0,0,0,1.132,2.315,4.607,2,0,2,2,0.0,1,0,0,-0.025,0,3.643,0,2,0,0
+806,1.125,7.979,0,1,2.136,0,0,3.027,10.006,0,0,9.311,50.0,0,3.0314,1.291,0,0.998,1.481,1,0,0,0,1.104,2.583,4.499,0,0,0,2,0.0,1,0,0,0.045,0,3.592,0,0,0,0
+807,1.187,8.132,0,1,2.194,0,0,3.127,10.645,0,1,9.642,47.1,0,3.015,1.286,0,0.992,1.659,1,0,0,0,1.11,2.481,4.732,0,0,0,2,0.121,1,0,0,-0.025,0,3.652,0,0,0,0
+808,2.341,8.737,0,4,2.351,0,0,3.863,23.889,0,2,10.435,38.1,0,2.9677,1.206,0,1.001,4.023,2,0,0,0,1.129,2.433,5.072,0,2,0,12,-0.942,1,0,0,0.0,0,3.794,0,0,0,0
+809,2.681,8.941,0,4,2.357,0,0,4.159,25.14,0,4,10.794,36.4,0,2.9203,1.21,0,0.986,5.828,2,0,0,0,1.132,2.19,5.075,0,2,0,14,-0.888,1,0,0,0.0,0,3.795,0,0,0,0
+810,1.258,8.704,1,4,2.278,0,1,3.483,30.593,2,0,10.136,41.2,0,3.2871,1.199,0,1.069,2.113,2,0,1,0,1.127,3.5,4.842,1,0,1,8,-1.093,1,0,0,0.005,0,3.849,0,2,0,0
+811,1.124,8.537,0,5,2.343,0,0,3.45,10.313,0,0,10.277,38.9,0,3.5325,1.147,0,1.072,1.623,4,0,0,0,1.127,3.611,5.021,4,0,3,10,-1.291,1,0,0,0.005,0,3.834,0,0,0,0
+812,1.125,8.094,1,0,2.136,0,2,3.047,0.0,2,0,9.311,53.8,0,3.0645,1.337,0,0.99,1.481,1,0,0,0,1.102,2.521,4.499,0,0,0,0,0.0,1,0,0,0.046,0,3.636,0,1,0,0
+813,0.802,7.083,1,0,2.101,0,1,2.736,0.0,2,0,9.183,30.0,0,2.1543,1.165,0,0.97,0.975,0,0,0,0,1.149,1.833,4.414,2,0,0,0,0.0,1,0,0,-0.064,0,3.143,0,2,0,0
+814,1.938,8.257,0,2,2.236,0,0,3.533,10.55,0,2,10.469,35.1,0,2.2523,1.209,0,0.983,3.879,0,0,0,1,1.135,2.283,5.099,1,0,0,3,1.47,1,0,1,-0.001,0,3.429,0,0,0,0
+815,1.461,8.14,0,1,2.231,0,0,3.211,0.0,0,0,9.725,45.0,0,2.9639,1.29,0,0.987,1.917,2,0,0,0,1.114,2.383,4.791,1,0,1,3,0.0,1,0,0,0.014,0,3.661,0,0,0,0
+816,0.0,8.428,0,0,2.278,0,0,3.414,0.0,0,0,9.955,54.5,0,2.4571,1.336,0,0.974,2.113,2,0,0,0,1.094,1.944,4.842,0,0,0,0,0.0,2,0,0,-0.002,0,3.711,0,0,0,0
+817,0.862,7.565,0,3,2.115,0,0,2.745,9.799,0,0,9.067,30.0,0,2.9763,1.101,0,1.075,0.956,0,0,0,0,1.146,3.111,4.303,0,0,0,2,-0.546,1,0,0,0.153,0,3.464,0,0,0,0
+818,0.802,7.808,1,1,2.101,0,0,2.898,10.214,1,0,9.183,41.7,0,2.8688,1.25,0,1.016,0.975,0,0,0,0,1.128,2.738,4.414,1,0,0,2,-0.053,1,0,0,-0.082,0,3.523,0,2,0,0
+819,0.0,6.823,1,0,2.0,0,0,2.585,0.0,1,0,8.623,29.4,0,2.1142,1.138,0,0.972,0.667,0,0,0,0,1.151,1.667,4.0,1,0,0,0,0.0,1,0,0,0.112,0,3.033,0,2,0,0
+820,1.116,8.314,6,2,2.376,0,6,3.482,20.532,10,0,10.266,21.7,0,2.3933,1.136,0,1.045,1.651,0,0,0,0,1.184,2.731,4.918,0,0,0,4,0.0,3,2,0,0.001,0,3.535,0,4,0,0
+821,1.792,7.88,0,6,2.247,0,0,3.342,0.0,0,2,10.074,23.1,0,4.2631,1.011,0,1.044,2.666,0,0,0,0,1.16,3.694,4.983,6,0,0,8,0.0,0,0,0,-0.008,0,3.397,0,0,0,0
+822,3.882,8.51,0,2,2.058,0,0,4.136,11.783,0,2,10.272,32.6,0,3.2291,1.199,0,0.97,11.382,0,0,0,0,1.14,1.789,4.383,0,0,0,4,0.022,0,0,0,0.0,0,3.366,0,0,0,0
+823,2.974,7.59,0,0,1.962,0,0,3.413,0.0,0,2,9.377,31.9,0,2.8079,1.208,0,0.96,6.102,0,0,0,0,1.141,1.567,3.956,0,0,0,0,0.0,0,0,0,0.001,0,2.976,0,0,0,0
+824,2.0,6.954,2,0,1.879,0,2,2.824,0.0,2,2,8.584,25.0,0,2.5749,1.134,0,0.975,3.284,0,0,0,0,1.163,2.125,3.848,4,0,0,0,0.0,0,0,0,-0.07,0,2.918,0,2,0,0
+825,1.95,6.944,1,2,1.848,0,0,2.753,0.0,0,2,8.394,22.2,0,2.7308,1.058,0,1.01,2.885,0,0,0,0,1.166,2.929,3.802,3,0,0,0,0.0,0,0,0,0.141,0,2.955,0,2,0,0
+826,4.491,9.204,0,4,2.08,0,0,4.632,23.914,0,2,10.776,32.6,0,3.3815,1.206,0,0.974,17.537,0,1,0,0,1.138,1.855,4.399,0,0,0,8,-0.214,0,0,0,0.0,0,3.646,0,0,0,0
+827,1.557,7.598,0,2,1.97,0,0,2.838,10.072,0,1,8.944,33.3,0,3.6944,1.178,0,1.013,2.195,0,0,0,0,1.139,2.952,4.334,0,0,0,3,-0.359,0,0,0,0.15,0,3.421,0,0,0,0
+828,2.565,7.952,0,2,2.015,0,0,3.371,10.607,0,1,9.489,33.3,0,3.1896,1.195,0,0.985,4.993,0,0,0,0,1.139,2.282,4.347,0,0,0,4,-0.312,0,0,0,0.004,0,3.423,0,0,0,0
+829,0.917,8.015,0,3,2.199,0,0,2.954,19.847,0,0,9.459,44.4,0,3.2075,1.183,0,1.096,1.101,0,0,0,0,1.116,3.548,4.414,0,0,0,4,-1.157,1,0,0,-0.091,0,3.658,0,0,0,0
+830,0.971,7.322,1,0,1.848,0,0,2.499,0.0,2,2,8.597,33.3,0,2.9651,1.271,0,0.979,1.542,0,0,0,0,1.145,2.767,4.17,0,0,0,0,0.0,0,0,0,0.368,0,3.33,0,1,0,0
+831,0.0,7.573,0,0,2.0,0,0,2.72,0.0,0,0,8.623,50.0,0,3.0,1.316,0,0.971,0.667,0,0,0,0,1.104,2.0,4.0,0,0,0,0,0.0,1,0,0,0.13,0,3.452,0,0,0,0
+832,1.125,7.878,0,1,2.136,0,0,2.99,0.0,0,0,9.311,43.8,0,3.0778,1.253,0,0.991,1.481,1,0,0,0,1.117,2.146,4.499,0,0,1,2,0.0,1,0,0,0.045,0,3.573,0,0,0,0
+833,1.187,8.046,1,1,2.222,0,2,3.105,0.0,2,0,9.668,38.9,0,3.2726,1.23,0,0.998,1.358,2,0,0,0,1.132,2.315,4.783,2,0,2,2,0.0,1,0,0,-0.025,0,3.666,0,2,0,0
+834,0.625,8.901,0,2,2.499,0,0,3.745,24.203,0,0,10.681,58.3,0,2.3715,1.312,0,1.008,1.262,4,0,0,0,1.087,2.5,5.31,0,0,0,8,-0.128,6,0,0,0.0,0,3.942,0,0,0,0
+835,3.866,8.778,0,6,2.361,0,0,4.201,11.747,0,1,10.735,32.4,0,1.9452,1.166,0,0.992,10.593,0,0,0,0,1.14,2.3,4.977,3,0,0,9,-0.347,1,0,0,0.0,0,3.497,0,0,0,0
+836,3.706,8.68,0,6,2.361,0,0,4.127,11.724,0,1,10.694,31.4,0,1.9472,1.153,0,0.993,9.639,0,0,0,0,1.143,2.321,4.977,3,0,0,9,-0.338,1,0,0,0.0,0,3.497,0,0,0,0
--- a/pycache/run.cpython-38.pyc
+++ b/pycache/run.cpython-38.pyc
--- a/cachedir/joblib/run/estimatorFeatureSelection/0237a2e70a1357c0d76691519bd22c74/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/0237a2e70a1357c0d76691519bd22c74/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/05d9463b5e19dc233c8c347d61a0c1ef/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/05d9463b5e19dc233c8c347d61a0c1ef/metadata.json
@ -0,0 +1 @@
+{"duration": 14.059135913848877, "input_args": {"Data": "     F7  F10  F7+F10  |F7-F10|  F7xF10  F7/F10  F10/F7\n0     0    0       0         0       0     0.0     0.0\n1     6    6      12         0      36     1.0     1.0\n2     0    0       0         0       0     0.0     0.0\n3     0    0       0         0       0     0.0     0.0\n4     0    0       0         0       0     0.0     0.0\n..   ..  ...     ...       ...     ...     ...     ...\n832   0    0       0         0       0     0.0     0.0\n833   2    2       4         0       4     1.0     1.0\n834   0    0       0         0       0     0.0     0.0\n835   0    0       0         0       0     0.0     0.0\n836   0    0       0         0       0     0.0     0.0\n\n[837 rows x 7 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/06c8a11330f7f20823ddaebbd7b7dbe0/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/06c8a11330f7f20823ddaebbd7b7dbe0/metadata.json
@ -0,0 +1 @@
+{"duration": 39.00056982040405, "input_args": {"Data": "        F1     F2  F3  F4     F5  F6  F7     F8      F9  F10  F11     F12   F13  F14     F15    F16  F17    F18     F19  F20  F21  F22  F23    F24    F25       F26_p4  F27  F28  F29  F30    F31  F32  F33  F34    F35  F36    F37  F38  F39  F40  F41\n0    1.185  9.085   0   0  2.263   3   0  3.642   0.000    0    1   9.902  46.7    1  3.1934  1.359    0  1.034   1.476    3    3    0    0  1.100  2.483   541.987500    0    0    2    0  0.000    1    0    0  0.014    0  4.054    0    0    0    0\n1    0.000  8.179   2   0  2.194   0   6  3.526   0.000    6    0  10.054  35.1    0  1.8929  1.209    0  0.974   4.130    0    0    0    0  1.139  1.744   433.132851    0    0    0    0  0.000    2    0    0  0.000    0  3.489    0    4    0    0\n2    0.762  8.297   0   3  2.424   0   0  3.339  21.884    0    0  10.226  42.1    0  2.3934  1.204    0  1.027   1.027    0    0    0    2  1.120  2.773   616.048483    0    0    0    8 -0.686    3    0    0  0.004    0  3.693    0    0    0    0\n3    1.747  9.673   0   2  2.690  23   0  4.645   9.855    0    1  12.353  31.6    0  7.7233  0.906    0  1.291   5.094    0    0    0    0  1.348  5.741  1591.360175    1    0    0    2 -4.617    0    0   11  0.000    0  3.993    0    0    0    1\n4    1.824  9.825   0   2  2.700  27   0  4.795   9.894    0    1  12.519  31.8    0  7.9184  0.906    0  1.292   5.891    0    0    0    0  1.350  5.742  1605.516747    1    0    0    2 -4.724    0    0   13  0.000    0  4.005    0    0    0    1\n..     ...    ...  ..  ..    ...  ..  ..    ...     ...  ...  ...     ...   ...  ...     ...    ...  ...    ...     ...  ...  ...  ...  ...    ...    ...          ...  ...  ...  ...  ...    ...  ...  ...  ...    ...  ...    ...  ...  ...  ...  ...\n832  1.125  7.878   0   1  2.136   0   0  2.990   0.000    0    0   9.311  43.8    0  3.0778  1.253    0  0.991   1.481    1    0    0    0  1.117  2.146   409.698121    0    0    1    2  0.000    1    0    0  0.045    0  3.573    0    0    0    0\n833  1.187  8.046   1   1  2.222   0   2  3.105   0.000    2    0   9.668  38.9    0  3.2726  1.230    0  0.998   1.358    2    0    0    0  1.132  2.315   523.361201    2    0    2    2  0.000    1    0    0 -0.025    0  3.666    0    2    0    0\n834  0.625  8.901   0   2  2.499   0   0  3.745  24.203    0    0  10.681  58.3    0  2.3715  1.312    0  1.008   1.262    4    0    0    0  1.087  2.500   795.020055    0    0    0    8 -0.128    6    0    0  0.000    0  3.942    0    0    0    0\n835  3.866  8.778   0   6  2.361   0   0  4.201  11.747    0    1  10.735  32.4    0  1.9452  1.166    0  0.992  10.593    0    0    0    0  1.140  2.300   613.579107    3    0    0    9 -0.347    1    0    0  0.000    0  3.497    0    0    0    0\n836  3.706  8.680   0   6  2.361   0   0  4.127  11.724    0    1  10.694  31.4    0  1.9472  1.153    0  0.993   9.639    0    0    0    0  1.143  2.321   613.579107    3    0    0    9 -0.338    1    0    0  0.000    0  3.497    0    0    0    0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/08e88f1ed04ac3f4129750cdad1f165b/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/08e88f1ed04ac3f4129750cdad1f165b/metadata.json
@ -0,0 +1 @@
+{"duration": 37.06569814682007, "input_args": {"Data": "        F1     F2  F3  F4     F5_em1  F6  F7    F8_l1p      F9  F10  F11     F12   F13  F14     F15    F16  F17    F18     F19  F20  F21  F22  F23    F24    F25       F26_p4  F27  F28  F29  F30    F31  F32  F33  F34    F35  F36    F37  F38  F39  F40  F41\n0    1.185  9.085   0   0   8.611882   3   0  1.535145   0.000    0    1   9.902  46.7    1  3.1934  1.359    0  1.034   1.476    3    3    0    0  1.100  2.483   541.987500    0    0    2    0  0.000    1    0    0  0.014    0  4.054    0    0    0    0\n1    0.000  8.179   2   0   7.971026   0   6  1.509839   0.000    6    0  10.054  35.1    0  1.8929  1.209    0  0.974   4.130    0    0    0    0  1.139  1.744   433.132851    0    0    0    0  0.000    2    0    0  0.000    0  3.489    0    4    0    0\n2    0.762  8.297   0   3  10.290933   0   0  1.467644  21.884    0    0  10.226  42.1    0  2.3934  1.204    0  1.027   1.027    0    0    0    2  1.120  2.773   616.048483    0    0    0    8 -0.686    3    0    0  0.004    0  3.693    0    0    0    0\n3    1.747  9.673   0   2  13.731676  23   0  1.730770   9.855    0    1  12.353  31.6    0  7.7233  0.906    0  1.291   5.094    0    0    0    0  1.348  5.741  1591.360175    1    0    0    2 -4.617    0    0   11  0.000    0  3.993    0    0    0    1\n4    1.824  9.825   0   2  13.879732  27   0  1.756995   9.894    0    1  12.519  31.8    0  7.9184  0.906    0  1.292   5.891    0    0    0    0  1.350  5.742  1605.516747    1    0    0    2 -4.724    0    0   13  0.000    0  4.005    0    0    0    1\n..     ...    ...  ..  ..        ...  ..  ..       ...     ...  ...  ...     ...   ...  ...     ...    ...  ...    ...     ...  ...  ...  ...  ...    ...    ...          ...  ...  ...  ...  ...    ...  ...  ...  ...    ...  ...    ...  ...  ...  ...  ...\n832  1.125  7.878   0   1   7.465508   0   0  1.383791   0.000    0    0   9.311  43.8    0  3.0778  1.253    0  0.991   1.481    1    0    0    0  1.117  2.146   409.698121    0    0    1    2  0.000    1    0    0  0.045    0  3.573    0    0    0    0\n833  1.187  8.046   1   1   8.225764   0   2  1.412206   0.000    2    0   9.668  38.9    0  3.2726  1.230    0  0.998   1.358    2    0    0    0  1.132  2.315   523.361201    2    0    2    2  0.000    1    0    0 -0.025    0  3.666    0    2    0    0\n834  0.625  8.901   0   2  11.170318   0   0  1.557091  24.203    0    0  10.681  58.3    0  2.3715  1.312    0  1.008   1.262    4    0    0    0  1.087  2.500   795.020055    0    0    0    8 -0.128    6    0    0  0.000    0  3.942    0    0    0    0\n835  3.866  8.778   0   6   9.601548   0   0  1.648851  11.747    0    1  10.735  32.4    0  1.9452  1.166    0  0.992  10.593    0    0    0    0  1.140  2.300   613.579107    3    0    0    9 -0.347    1    0    0  0.000    0  3.497    0    0    0    0\n836  3.706  8.680   0   6   9.601548   0   0  1.634521  11.724    0    1  10.694  31.4    0  1.9472  1.153    0  0.993   9.639    0    0    0    0  1.143  2.321   613.579107    3    0    0    9 -0.338    1    0    0  0.000    0  3.497    0    0    0    0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/09084dadb994c1eb1d41ac9654c18ff2/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/09084dadb994c1eb1d41ac9654c18ff2/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/0c20f602c8c8ef7b079e1c3304ce9b34/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/0c20f602c8c8ef7b079e1c3304ce9b34/metadata.json
@ -0,0 +1 @@
+{"duration": 46.452970027923584, "input_args": {"Data": "        F1     F2  F3  F4     F5_em1  F6  F7    F8_l1p      F9  F10  F11       F12_p3   F13  F14     F15    F16  F17    F18     F19  F20  F21  F22  F23    F24    F25       F26_p4  F27  F28  F29  F30    F31  F32  F33  F34    F35  F36    F37  F38  F39  F40  F41\n0    1.185  9.085   0   0   8.611882   3   0  1.535145   0.000    0    1   970.887179  46.7    1  3.1934  1.359    0  1.034   1.476    3    3    0    0  1.100  2.483   541.987500    0    0    2    0  0.000    1    0    0  0.014    0  4.054    0    0    0    0\n1    0.000  8.179   2   0   7.971026   0   6  1.509839   0.000    6    0  1016.287637  35.1    0  1.8929  1.209    0  0.974   4.130    0    0    0    0  1.139  1.744   433.132851    0    0    0    0  0.000    2    0    0  0.000    0  3.489    0    4    0    0\n2    0.762  8.297   0   3  10.290933   0   0  1.467644  21.884    0    0  1069.343823  42.1    0  2.3934  1.204    0  1.027   1.027    0    0    0    2  1.120  2.773   616.048483    0    0    0    8 -0.686    3    0    0  0.004    0  3.693    0    0    0    0\n3    1.747  9.673   0   2  13.731676  23   0  1.730770   9.855    0    1  1885.025911  31.6    0  7.7233  0.906    0  1.291   5.094    0    0    0    0  1.348  5.741  1591.360175    1    0    0    2 -4.617    0    0   11  0.000    0  3.993    0    0    0    1\n4    1.824  9.825   0   2  13.879732  27   0  1.756995   9.894    0    1  1962.044794  31.8    0  7.9184  0.906    0  1.292   5.891    0    0    0    0  1.350  5.742  1605.516747    1    0    0    2 -4.724    0    0   13  0.000    0  4.005    0    0    0    1\n..     ...    ...  ..  ..        ...  ..  ..       ...     ...  ...  ...          ...   ...  ...     ...    ...  ...    ...     ...  ...  ...  ...  ...    ...    ...          ...  ...  ...  ...  ...    ...  ...  ...  ...    ...  ...    ...  ...  ...  ...  ...\n832  1.125  7.878   0   1   7.465508   0   0  1.383791   0.000    0    0   807.214547  43.8    0  3.0778  1.253    0  0.991   1.481    1    0    0    0  1.117  2.146   409.698121    0    0    1    2  0.000    1    0    0  0.045    0  3.573    0    0    0    0\n833  1.187  8.046   1   1   8.225764   0   2  1.412206   0.000    2    0   903.670126  38.9    0  3.2726  1.230    0  0.998   1.358    2    0    0    0  1.132  2.315   523.361201    2    0    2    2  0.000    1    0    0 -0.025    0  3.666    0    2    0    0\n834  0.625  8.901   0   2  11.170318   0   0  1.557091  24.203    0    0  1218.528651  58.3    0  2.3715  1.312    0  1.008   1.262    4    0    0    0  1.087  2.500   795.020055    0    0    0    8 -0.128    6    0    0  0.000    0  3.942    0    0    0    0\n835  3.866  8.778   0   6   9.601548   0   0  1.648851  11.747    0    1  1237.103815  32.4    0  1.9452  1.166    0  0.992  10.593    0    0    0    0  1.140  2.300   613.579107    3    0    0    9 -0.347    1    0    0  0.000    0  3.497    0    0    0    0\n836  3.706  8.680   0   6   9.601548   0   0  1.634521  11.724    0    1  1222.983335  31.4    0  1.9472  1.153    0  0.993   9.639    0    0    0    0  1.143  2.321   613.579107    3    0    0    9 -0.338    1    0    0  0.000    0  3.497    0    0    0    0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/0cf26a0ace4cf44623ed9e0f324ad28c/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/0cf26a0ace4cf44623ed9e0f324ad28c/metadata.json
@ -0,0 +1 @@
+{"duration": 39.2252459526062, "input_args": {"Data": "        F1     F2  F3  F4     F5  F6  F7     F8_l2      F9  F10  F11     F12   F13  ...  F29  F30    F31  F32  F33  F34    F35  F36    F37  F38  F39  F40  F41\n0    1.185  9.085   0   0  2.263   3   0  1.864731   0.000    0    1   9.902  46.7  ...    2    0  0.000    1    0    0  0.014    0  4.054    0    0    0    0\n1    0.000  8.179   2   0  2.194   0   6  1.818032   0.000    6    0  10.054  35.1  ...    0    0  0.000    2    0    0  0.000    0  3.489    0    4    0    0\n2    0.762  8.297   0   3  2.424   0   0  1.739416  21.884    0    0  10.226  42.1  ...    0    8 -0.686    3    0    0  0.004    0  3.693    0    0    0    0\n3    1.747  9.673   0   2  2.690  23   0  2.215679   9.855    0    1  12.353  31.6  ...    0    2 -4.617    0    0   11  0.000    0  3.993    0    0    0    1\n4    1.824  9.825   0   2  2.700  27   0  2.261531   9.894    0    1  12.519  31.8  ...    0    2 -4.724    0    0   13  0.000    0  4.005    0    0    0    1\n..     ...    ...  ..  ..    ...  ..  ..       ...     ...  ...  ...     ...   ...  ...  ...  ...    ...  ...  ...  ...    ...  ...    ...  ...  ...  ...  ...\n832  1.125  7.878   0   1  2.136   0   0  1.580145   0.000    0    0   9.311  43.8  ...    1    2  0.000    1    0    0  0.045    0  3.573    0    0    0    0\n833  1.187  8.046   1   1  2.222   0   2  1.634593   0.000    2    0   9.668  38.9  ...    2    2  0.000    1    0    0 -0.025    0  3.666    0    2    0    0\n834  0.625  8.901   0   2  2.499   0   0  1.904966  24.203    0    0  10.681  58.3  ...    0    8 -0.128    6    0    0  0.000    0  3.942    0    0    0    0\n835  3.866  8.778   0   6  2.361   0   0  2.070733  11.747    0    1  10.735  32.4  ...    0    9 -0.347    1    0    0  0.000    0  3.497    0    0    0    0\n836  3.706  8.680   0   6  2.361   0   0  2.045093  11.724    0    1  10.694  31.4  ...    0    9 -0.338    1    0    0  0.000    0  3.497    0    0    0    0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/0d5467cfcb3692caa554061d986834a1/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/0d5467cfcb3692caa554061d986834a1/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/0e09d698e192a513a0e48318923cfe0d/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/0e09d698e192a513a0e48318923cfe0d/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/0e6aa1ae1ffd78d7c9c405c11cb17ed9/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/0e6aa1ae1ffd78d7c9c405c11cb17ed9/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/0f8f7f0b0182403045b700a7e1ae9528/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/0f8f7f0b0182403045b700a7e1ae9528/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/14ebb2205f65f2d37f60c52fbdf8fd76/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/14ebb2205f65f2d37f60c52fbdf8fd76/metadata.json
@ -0,0 +1 @@
+{"duration": 16.30320119857788, "input_args": {"Data": "        F8_l2     F12  F8_l2+F12  |F8_l2-F12|  F8_l2xF12  F8_l2/F12  F12/F8_l2\n0    1.864731   9.902  11.766731     8.037269  18.464566   0.188319   5.310150\n1    1.818032  10.054  11.872032     8.235968  18.278499   0.180827   5.530154\n2    1.739416  10.226  11.965416     8.486584  17.787269   0.170097   5.878984\n3    2.215679  12.353  14.568679    10.137321  27.370278   0.179364   5.575267\n4    2.261531  12.519  14.780531    10.257469  28.312104   0.180648   5.535631\n..        ...     ...        ...          ...        ...        ...        ...\n832  1.580145   9.311  10.891145     7.730855  14.712735   0.169707   5.892495\n833  1.634593   9.668  11.302593     8.033407  15.803248   0.169073   5.914621\n834  1.904966  10.681  12.585966     8.776034  20.346939   0.178351   5.606925\n835  2.070733  10.735  12.805733     8.664267  22.229316   0.192895   5.184155\n836  2.045093  10.694  12.739093     8.648907  21.870229   0.191237   5.229101\n\n[837 rows x 7 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/19f73053d9c815e84da2c40a02f76932/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/19f73053d9c815e84da2c40a02f76932/metadata.json
@ -0,0 +1 @@
+{"duration": 14.528310060501099, "input_args": {"Data": "        F2     F8_l2   F2+F8_l2  |F2-F8_l2|   F2xF8_l2  F2/F8_l2  F8_l2/F2\n0    9.085  1.864731  10.949731    7.220269  16.941080  4.872017  0.205254\n1    8.179  1.818032   9.997032    6.360968  14.869688  4.498820  0.222281\n2    8.297  1.739416  10.036416    6.557584  14.431935  4.769992  0.209644\n3    9.673  2.215679  11.888679    7.457321  21.432259  4.365705  0.229058\n4    9.825  2.261531  12.086531    7.563469  22.219540  4.344402  0.230181\n..     ...       ...        ...         ...        ...       ...       ...\n832  7.878  1.580145   9.458145    6.297855  12.448386  4.985617  0.200577\n833  8.046  1.634593   9.680593    6.411407  13.151937  4.922325  0.203156\n834  8.901  1.904966  10.805966    6.996034  16.956100  4.672525  0.214017\n835  8.778  2.070733  10.848733    6.707267  18.176892  4.239079  0.235900\n836  8.680  2.045093  10.725093    6.634907  17.751411  4.244305  0.235610\n\n[837 rows x 7 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/1dece5a6ac641a158f55f38c2f19bc3a/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/1dece5a6ac641a158f55f38c2f19bc3a/metadata.json
@ -1 +0,0 @@
-{"duration": 10.279210090637207, "input_args": {"Data": "        F1_l2   F2   F3   F4  F1_l2+F4\n0    1.321928  3.3  6.3  6.0  7.321928\n1    0.925999  2.7  5.8  5.1  6.025999\n2    1.070389  3.0  7.1  5.9  6.970389\n3    0.847997  2.9  6.3  5.6  6.447997\n4    1.137504  3.0  6.5  5.8  6.937504\n..        ...  ...  ...  ...       ...\n145 -1.736966  3.0  4.8  1.4 -0.336966\n146 -2.321928  3.8  5.1  1.6 -0.721928\n147 -2.321928  3.2  4.6  1.4 -0.921928\n148 -2.321928  3.7  5.3  1.5 -0.821928\n149 -2.321928  3.3  5.0  1.4 -0.921928\n\n[150 rows x 5 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              objective='multi:softprob', probability=True, random_state=42,\n              reg_alpha=0, reg_lambda=1, scale_pos_weight=None, silent=True,\n              subsample=0.9972633684544026, tree_method='exact',\n              use_label_encoder=False, validate_parameters=1, ...)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/1edf0aab1322bad6d8bc1faf9d99ec87/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/1edf0aab1322bad6d8bc1faf9d99ec87/metadata.json
@ -1 +0,0 @@
-{"duration": 13.386974096298218, "input_args": {"Data": "         F1_l2  F6_b  F1_l2+F6_b  |F1_l2-F6_b|  F1_l2xF6_b  F1_l2/F6_b  F6_b/F1_l2\n0    -0.621488     1    0.378512      1.621488   -0.621488   -0.621488   -1.609041\n1    -0.785875     1    0.214125      1.785875   -0.785875   -0.785875   -1.272467\n2    -1.836501    11    9.163499     12.836501  -20.201514   -0.166955   -5.989650\n3    -1.395929     6    4.604071      7.395929   -8.375572   -0.232655   -4.298214\n4    -0.943416     3    2.056584      3.943416   -2.830249   -0.314472   -3.179932\n...        ...   ...         ...           ...         ...         ...         ...\n1594 -0.736966     2    1.263034      2.736966   -1.473931   -0.368483   -2.713831\n1595 -0.862496     2    1.137504      2.862496   -1.724993   -0.431248   -2.318850\n1596 -0.971431     3    2.028569      3.971431   -2.914293   -0.323810   -3.088228\n1597 -0.632629     3    2.367371      3.632629   -1.897887   -0.210876   -4.742116\n1598 -1.689660     9    7.310340     10.689660  -15.206939   -0.187740   -5.326516\n\n[1599 rows x 7 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.9223705789444759,\n              eta=0.08487346516301046, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.0848734677, max_delta_step=0, max_depth=7,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=76, n_jobs=12, num_parallel_tree=1,\n              objective='multi:softprob', probability=True, random_state=42,\n              reg_alpha=0, reg_lambda=1, scale_pos_weight=None, silent=True,\n              subsample=0.8912139968434072, tree_method='exact',\n              use_label_encoder=False, validate_parameters=1, ...)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/2221b5c353b2aca71982e3930c6a849e/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/2221b5c353b2aca71982e3930c6a849e/metadata.json
@ -0,0 +1 @@
+{"duration": 36.06182813644409, "input_args": {"Data": "        F1     F2  F3  F4      F5_p4  F6  F7    F8_l1p      F9  F10  F11     F12   F13  F14     F15    F16  F17    F18     F19  F20  F21  F22  F23    F24    F25       F26_p4  F27  F28  F29  F30    F31  F32  F33  F34    F35  F36    F37  F38  F39  F40  F41\n0    1.185  9.085   0   0  26.226372   3   0  1.535145   0.000    0    1   9.902  46.7    1  3.1934  1.359    0  1.034   1.476    3    3    0    0  1.100  2.483   541.987500    0    0    2    0  0.000    1    0    0  0.014    0  4.054    0    0    0    0\n1    0.000  8.179   2   0  23.171092   0   6  1.509839   0.000    6    0  10.054  35.1    0  1.8929  1.209    0  0.974   4.130    0    0    0    0  1.139  1.744   433.132851    0    0    0    0  0.000    2    0    0  0.000    0  3.489    0    4    0    0\n2    0.762  8.297   0   3  34.524744   0   0  1.467644  21.884    0    0  10.226  42.1    0  2.3934  1.204    0  1.027   1.027    0    0    0    2  1.120  2.773   616.048483    0    0    0    8 -0.686    3    0    0  0.004    0  3.693    0    0    0    0\n3    1.747  9.673   0   2  52.361143  23   0  1.730770   9.855    0    1  12.353  31.6    0  7.7233  0.906    0  1.291   5.094    0    0    0    0  1.348  5.741  1591.360175    1    0    0    2 -4.617    0    0   11  0.000    0  3.993    0    0    0    1\n4    1.824  9.825   0   2  53.144100  27   0  1.756995   9.894    0    1  12.519  31.8    0  7.9184  0.906    0  1.292   5.891    0    0    0    0  1.350  5.742  1605.516747    1    0    0    2 -4.724    0    0   13  0.000    0  4.005    0    0    0    1\n..     ...    ...  ..  ..        ...  ..  ..       ...     ...  ...  ...     ...   ...  ...     ...    ...  ...    ...     ...  ...  ...  ...  ...    ...    ...          ...  ...  ...  ...  ...    ...  ...  ...  ...    ...  ...    ...  ...  ...  ...  ...\n832  1.125  7.878   0   1  20.816370   0   0  1.383791   0.000    0    0   9.311  43.8    0  3.0778  1.253    0  0.991   1.481    1    0    0    0  1.117  2.146   409.698121    0    0    1    2  0.000    1    0    0  0.045    0  3.573    0    0    0    0\n833  1.187  8.046   1   1  24.376773   0   2  1.412206   0.000    2    0   9.668  38.9    0  3.2726  1.230    0  0.998   1.358    2    0    0    0  1.132  2.315   523.361201    2    0    2    2  0.000    1    0    0 -0.025    0  3.666    0    2    0    0\n834  0.625  8.901   0   2  39.000037   0   0  1.557091  24.203    0    0  10.681  58.3    0  2.3715  1.312    0  1.008   1.262    4    0    0    0  1.087  2.500   795.020055    0    0    0    8 -0.128    6    0    0  0.000    0  3.942    0    0    0    0\n835  3.866  8.778   0   6  31.073055   0   0  1.648851  11.747    0    1  10.735  32.4    0  1.9452  1.166    0  0.992  10.593    0    0    0    0  1.140  2.300   613.579107    3    0    0    9 -0.347    1    0    0  0.000    0  3.497    0    0    0    0\n836  3.706  8.680   0   6  31.073055   0   0  1.634521  11.724    0    1  10.694  31.4    0  1.9472  1.153    0  0.993   9.639    0    0    0    0  1.143  2.321   613.579107    3    0    0    9 -0.338    1    0    0  0.000    0  3.497    0    0    0    0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/23bdef957a8c99991197f093001eec87/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/23bdef957a8c99991197f093001eec87/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/294e8763914741a79b0838898ece3368/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/294e8763914741a79b0838898ece3368/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/2956fe3fc2ead99c0e75e9a3188d9e47/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/2956fe3fc2ead99c0e75e9a3188d9e47/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/2ba580f7ff5e5310897b12f768a7c058/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/2ba580f7ff5e5310897b12f768a7c058/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/2bc58d6b58235a4f804147e27bb7ba82/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/2bc58d6b58235a4f804147e27bb7ba82/metadata.json
@ -0,0 +1 @@
+{"duration": 28.126965045928955, "input_args": {"Data": "        F1     F2  F3  F4     F5    F6_l1p  F7     F8_l2      F9  F10  F11     F12  ...  F30    F31  F32  F33  F34    F35  F36   F37_l10  F38  F39_l10  F40  F41\n0    1.185  9.085   0   0  2.263  1.386294   0  1.864731   0.000    0    1   9.902  ...    0  0.000    1    0    0  0.014    0  0.607884    0  0.00000    0    0\n1    0.000  8.179   2   0  2.194  0.000000   6  1.818032   0.000    6    0  10.054  ...    0  0.000    2    0    0  0.000    0  0.542701    0  0.60206    0    0\n2    0.762  8.297   0   3  2.424  0.000000   0  1.739416  21.884    0    0  10.226  ...    8 -0.686    3    0    0  0.004    0  0.567379    0  0.00000    0    0\n3    1.747  9.673   0   2  2.690  3.178054   0  2.215679   9.855    0    1  12.353  ...    2 -4.617    0    0   11  0.000    0  0.601299    0  0.00000    0    1\n4    1.824  9.825   0   2  2.700  3.332205   0  2.261531   9.894    0    1  12.519  ...    2 -4.724    0    0   13  0.000    0  0.602603    0  0.00000    0    1\n..     ...    ...  ..  ..    ...       ...  ..       ...     ...  ...  ...     ...  ...  ...    ...  ...  ...  ...    ...  ...       ...  ...      ...  ...  ...\n832  1.125  7.878   0   1  2.136  0.000000   0  1.580145   0.000    0    0   9.311  ...    2  0.000    1    0    0  0.045    0  0.553033    0  0.00000    0    0\n833  1.187  8.046   1   1  2.222  0.000000   2  1.634593   0.000    2    0   9.668  ...    2  0.000    1    0    0 -0.025    0  0.564192    0  0.30103    0    0\n834  0.625  8.901   0   2  2.499  0.000000   0  1.904966  24.203    0    0  10.681  ...    8 -0.128    6    0    0  0.000    0  0.595717    0  0.00000    0    0\n835  3.866  8.778   0   6  2.361  0.000000   0  2.070733  11.747    0    1  10.735  ...    9 -0.347    1    0    0  0.000    0  0.543696    0  0.00000    0    0\n836  3.706  8.680   0   6  2.361  0.000000   0  2.045093  11.724    0    1  10.694  ...    9 -0.338    1    0    0  0.000    0  0.543696    0  0.00000    0    0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/2cec3ede420aa45b1efd7f743dbf8e01/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/2cec3ede420aa45b1efd7f743dbf8e01/metadata.json
@ -0,0 +1 @@
+{"duration": 30.70240592956543, "input_args": {"Data": "        F1     F2  F3  F4     F5_e2  F6  F7    F8_l1p      F9  F10  F11      F12_p2   F13  F14     F15    F16  F17    F18     F19  F20  F21  F22  F23    F24    F25       F26_p4  F27  F28  F29  F30    F31  F32  F33  F34    F35  F36    F37  F38  F39  F40  F41\n0    1.185  9.085   0   0  4.799886   3   0  1.535145   0.000    0    1   98.049604  46.7    1  3.1934  1.359    0  1.034   1.476    3    3    0    0  1.100  2.483   541.987500    0    0    2    0  0.000    1    0    0  0.014    0  4.054    0    0    0    0\n1    0.000  8.179   2   0  4.575724   0   6  1.509839   0.000    6    0  101.082916  35.1    0  1.8929  1.209    0  0.974   4.130    0    0    0    0  1.139  1.744   433.132851    0    0    0    0  0.000    2    0    0  0.000    0  3.489    0    4    0    0\n2    0.762  8.297   0   3  5.366569   0   0  1.467644  21.884    0    0  104.571076  42.1    0  2.3934  1.204    0  1.027   1.027    0    0    0    2  1.120  2.773   616.048483    0    0    0    8 -0.686    3    0    0  0.004    0  3.693    0    0    0    0\n3    1.747  9.673   0   2  6.453134  23   0  1.730770   9.855    0    1  152.596609  31.6    0  7.7233  0.906    0  1.291   5.094    0    0    0    0  1.348  5.741  1591.360175    1    0    0    2 -4.617    0    0   11  0.000    0  3.993    0    0    0    1\n4    1.824  9.825   0   2  6.498019  27   0  1.756995   9.894    0    1  156.725361  31.8    0  7.9184  0.906    0  1.292   5.891    0    0    0    0  1.350  5.742  1605.516747    1    0    0    2 -4.724    0    0   13  0.000    0  4.005    0    0    0    1\n..     ...    ...  ..  ..       ...  ..  ..       ...     ...  ...  ...         ...   ...  ...     ...    ...  ...    ...     ...  ...  ...  ...  ...    ...    ...          ...  ...  ...  ...  ...    ...  ...  ...  ...    ...  ...    ...  ...  ...  ...  ...\n832  1.125  7.878   0   1  4.395417   0   0  1.383791   0.000    0    0   86.694721  43.8    0  3.0778  1.253    0  0.991   1.481    1    0    0    0  1.117  2.146   409.698121    0    0    1    2  0.000    1    0    0  0.045    0  3.573    0    0    0    0\n833  1.187  8.046   1   1  4.665397   0   2  1.412206   0.000    2    0   93.470224  38.9    0  3.2726  1.230    0  0.998   1.358    2    0    0    0  1.132  2.315   523.361201    2    0    2    2  0.000    1    0    0 -0.025    0  3.666    0    2    0    0\n834  0.625  8.901   0   2  5.652935   0   0  1.557091  24.203    0    0  114.083761  58.3    0  2.3715  1.312    0  1.008   1.262    4    0    0    0  1.087  2.500   795.020055    0    0    0    8 -0.128    6    0    0  0.000    0  3.942    0    0    0    0\n835  3.866  8.778   0   6  5.137263   0   0  1.648851  11.747    0    1  115.240225  32.4    0  1.9452  1.166    0  0.992  10.593    0    0    0    0  1.140  2.300   613.579107    3    0    0    9 -0.347    1    0    0  0.000    0  3.497    0    0    0    0\n836  3.706  8.680   0   6  5.137263   0   0  1.634521  11.724    0    1  114.361636  31.4    0  1.9472  1.153    0  0.993   9.639    0    0    0    0  1.143  2.321   613.579107    3    0    0    9 -0.338    1    0    0  0.000    0  3.497    0    0    0    0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/2dd4af227f7f5e75e7a30a786dc19aac/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/2dd4af227f7f5e75e7a30a786dc19aac/metadata.json
@ -0,0 +1 @@
+{"duration": 21.14425778388977, "input_args": {"Data": "        F5     F12  F5+F12  |F5-F12|     F5xF12    F5/F12    F12/F5\n0    2.263   9.902  12.165     7.639  22.408226  0.228540  4.375608\n1    2.194  10.054  12.248     7.860  22.058476  0.218222  4.582498\n2    2.424  10.226  12.650     7.802  24.787824  0.237043  4.218647\n3    2.690  12.353  15.043     9.663  33.229570  0.217761  4.592193\n4    2.700  12.519  15.219     9.819  33.801300  0.215672  4.636667\n..     ...     ...     ...       ...        ...       ...       ...\n832  2.136   9.311  11.447     7.175  19.888296  0.229406  4.359082\n833  2.222   9.668  11.890     7.446  21.482296  0.229830  4.351035\n834  2.499  10.681  13.180     8.182  26.691819  0.233967  4.274110\n835  2.361  10.735  13.096     8.374  25.345335  0.219935  4.546802\n836  2.361  10.694  13.055     8.333  25.248534  0.220778  4.529437\n\n[837 rows x 7 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/35b06c1585296cbe5dbde2720b41dc63/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/35b06c1585296cbe5dbde2720b41dc63/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/3ccec7a626a2fb858a5cc1c2b2f25282/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/3ccec7a626a2fb858a5cc1c2b2f25282/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/3d6891067cef4ae3f8881a8e07adda34/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/3d6891067cef4ae3f8881a8e07adda34/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/3e9ed49e5b059ae812700e00d4534a3f/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/3e9ed49e5b059ae812700e00d4534a3f/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/402017027ba3a50afc90fd835298d6b6/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/402017027ba3a50afc90fd835298d6b6/metadata.json
@ -1 +0,0 @@
-{"duration": 23.081444025039673, "input_args": {"Data": "        F5     F26_p2  F5+F26_p2  |F5-F26_p2|   F5xF26_p2  F5/F26_p2  F26_p2/F5\n0    2.263  23.280625  25.543625    21.017625   52.684054   0.097205  10.287506\n1    2.194  20.811844  23.005844    18.617844   45.661186   0.105421   9.485799\n2    2.424  24.820324  27.244324    22.396324   60.164465   0.097662  10.239408\n3    2.690  39.891856  42.581856    37.201856  107.309093   0.067432  14.829686\n4    2.700  40.068900  42.768900    37.368900  108.186030   0.067384  14.840333\n..     ...        ...        ...          ...         ...        ...        ...\n832  2.136  20.241001  22.377001    18.105001   43.234778   0.105528   9.476124\n833  2.222  22.877089  25.099089    20.655089   50.832892   0.097128  10.295720\n834  2.499  28.196100  30.695100    25.697100   70.462054   0.088629  11.282953\n835  2.361  24.770529  27.131529    22.409529   58.483219   0.095315  10.491541\n836  2.361  24.770529  27.131529    22.409529   58.483219   0.095315  10.491541\n\n[837 rows x 7 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/41dab28469e4379ce8ff25d934657637/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/41dab28469e4379ce8ff25d934657637/metadata.json
@ -0,0 +1 @@
+{"duration": 52.40288710594177, "input_args": {"Data": "        F1     F2    F3_l1p  F4     F5    F6_l1p  F7     F8_l2      F9  F10  F11     F12   F13  F14     F15    F16  F17    F18     F19    F20_l2  ...  F22  F23    F24    F25       F26_p4  F27  F28  F29  F30    F31   F32_l1p  F33  F34    F35  F36    F37_l2  F38  F39  F40  F41\n0    1.185  9.085  0.000000   0  2.263  1.386294   0  1.864731   0.000    0    1   9.902  46.7    1  3.1934  1.359    0  1.034   1.476  1.584963  ...    0    0  1.100  2.483   541.987500    0    0    2    0  0.000  0.693147    0    0  0.014    0  2.019346    0    0    0    0\n1    0.000  8.179  1.098612   0  2.194  0.000000   6  1.818032   0.000    6    0  10.054  35.1    0  1.8929  1.209    0  0.974   4.130  0.000000  ...    0    0  1.139  1.744   433.132851    0    0    0    0  0.000  1.098612    0    0  0.000    0  1.802814    0    4    0    0\n2    0.762  8.297  0.000000   3  2.424  0.000000   0  1.739416  21.884    0    0  10.226  42.1    0  2.3934  1.204    0  1.027   1.027  0.000000  ...    0    2  1.120  2.773   616.048483    0    0    0    8 -0.686  1.386294    0    0  0.004    0  1.884793    0    0    0    0\n3    1.747  9.673  0.000000   2  2.690  3.178054   0  2.215679   9.855    0    1  12.353  31.6    0  7.7233  0.906    0  1.291   5.094  0.000000  ...    0    0  1.348  5.741  1591.360175    1    0    0    2 -4.617  0.000000    0   11  0.000    0  1.997473    0    0    0    1\n4    1.824  9.825  0.000000   2  2.700  3.332205   0  2.261531   9.894    0    1  12.519  31.8    0  7.9184  0.906    0  1.292   5.891  0.000000  ...    0    0  1.350  5.742  1605.516747    1    0    0    2 -4.724  0.000000    0   13  0.000    0  2.001802    0    0    0    1\n..     ...    ...       ...  ..    ...       ...  ..       ...     ...  ...  ...     ...   ...  ...     ...    ...  ...    ...     ...       ...  ...  ...  ...    ...    ...          ...  ...  ...  ...  ...    ...       ...  ...  ...    ...  ...       ...  ...  ...  ...  ...\n832  1.125  7.878  0.000000   1  2.136  0.000000   0  1.580145   0.000    0    0   9.311  43.8    0  3.0778  1.253    0  0.991   1.481  0.000000  ...    0    0  1.117  2.146   409.698121    0    0    1    2  0.000  0.693147    0    0  0.045    0  1.837136    0    0    0    0\n833  1.187  8.046  0.693147   1  2.222  0.000000   2  1.634593   0.000    2    0   9.668  38.9    0  3.2726  1.230    0  0.998   1.358  1.000000  ...    0    0  1.132  2.315   523.361201    2    0    2    2  0.000  0.693147    0    0 -0.025    0  1.874207    0    2    0    0\n834  0.625  8.901  0.000000   2  2.499  0.000000   0  1.904966  24.203    0    0  10.681  58.3    0  2.3715  1.312    0  1.008   1.262  2.000000  ...    0    0  1.087  2.500   795.020055    0    0    0    8 -0.128  1.945910    0    0  0.000    0  1.978928    0    0    0    0\n835  3.866  8.778  0.000000   6  2.361  0.000000   0  2.070733  11.747    0    1  10.735  32.4    0  1.9452  1.166    0  0.992  10.593  0.000000  ...    0    0  1.140  2.300   613.579107    3    0    0    9 -0.347  0.693147    0    0  0.000    0  1.806118    0    0    0    0\n836  3.706  8.680  0.000000   6  2.361  0.000000   0  2.045093  11.724    0    1  10.694  31.4    0  1.9472  1.153    0  0.993   9.639  0.000000  ...    0    0  1.143  2.321   613.579107    3    0    0    9 -0.338  0.693147    0    0  0.000    0  1.806118    0    0    0    0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/44719fe531ecc273e584e52cb7589cb9/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/44719fe531ecc273e584e52cb7589cb9/metadata.json
@ -0,0 +1 @@
+{"duration": 37.37262415885925, "input_args": {"Data": "        F1     F2  F3  F4     F5  F6  F7     F8_l2      F9  F10  F11     F12   F13  F14     F15    F16  F17    F18     F19  F20   F21_l1p  F22  F23    F24    F25       F26_p4  F27  F28  F29  F30    F31  F32  F33  F34    F35  F36    F37  F38  F39  F40  F41\n0    1.185  9.085   0   0  2.263   3   0  1.864731   0.000    0    1   9.902  46.7    1  3.1934  1.359    0  1.034   1.476    3  1.386294    0    0  1.100  2.483   541.987500    0    0    2    0  0.000    1    0    0  0.014    0  4.054    0    0    0    0\n1    0.000  8.179   2   0  2.194   0   6  1.818032   0.000    6    0  10.054  35.1    0  1.8929  1.209    0  0.974   4.130    0  0.000000    0    0  1.139  1.744   433.132851    0    0    0    0  0.000    2    0    0  0.000    0  3.489    0    4    0    0\n2    0.762  8.297   0   3  2.424   0   0  1.739416  21.884    0    0  10.226  42.1    0  2.3934  1.204    0  1.027   1.027    0  0.000000    0    2  1.120  2.773   616.048483    0    0    0    8 -0.686    3    0    0  0.004    0  3.693    0    0    0    0\n3    1.747  9.673   0   2  2.690  23   0  2.215679   9.855    0    1  12.353  31.6    0  7.7233  0.906    0  1.291   5.094    0  0.000000    0    0  1.348  5.741  1591.360175    1    0    0    2 -4.617    0    0   11  0.000    0  3.993    0    0    0    1\n4    1.824  9.825   0   2  2.700  27   0  2.261531   9.894    0    1  12.519  31.8    0  7.9184  0.906    0  1.292   5.891    0  0.000000    0    0  1.350  5.742  1605.516747    1    0    0    2 -4.724    0    0   13  0.000    0  4.005    0    0    0    1\n..     ...    ...  ..  ..    ...  ..  ..       ...     ...  ...  ...     ...   ...  ...     ...    ...  ...    ...     ...  ...       ...  ...  ...    ...    ...          ...  ...  ...  ...  ...    ...  ...  ...  ...    ...  ...    ...  ...  ...  ...  ...\n832  1.125  7.878   0   1  2.136   0   0  1.580145   0.000    0    0   9.311  43.8    0  3.0778  1.253    0  0.991   1.481    1  0.000000    0    0  1.117  2.146   409.698121    0    0    1    2  0.000    1    0    0  0.045    0  3.573    0    0    0    0\n833  1.187  8.046   1   1  2.222   0   2  1.634593   0.000    2    0   9.668  38.9    0  3.2726  1.230    0  0.998   1.358    2  0.000000    0    0  1.132  2.315   523.361201    2    0    2    2  0.000    1    0    0 -0.025    0  3.666    0    2    0    0\n834  0.625  8.901   0   2  2.499   0   0  1.904966  24.203    0    0  10.681  58.3    0  2.3715  1.312    0  1.008   1.262    4  0.000000    0    0  1.087  2.500   795.020055    0    0    0    8 -0.128    6    0    0  0.000    0  3.942    0    0    0    0\n835  3.866  8.778   0   6  2.361   0   0  2.070733  11.747    0    1  10.735  32.4    0  1.9452  1.166    0  0.992  10.593    0  0.000000    0    0  1.140  2.300   613.579107    3    0    0    9 -0.347    1    0    0  0.000    0  3.497    0    0    0    0\n836  3.706  8.680   0   6  2.361   0   0  2.045093  11.724    0    1  10.694  31.4    0  1.9472  1.153    0  0.993   9.639    0  0.000000    0    0  1.143  2.321   613.579107    3    0    0    9 -0.338    1    0    0  0.000    0  3.497    0    0    0    0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/44ec384289903c56f725fa4c7080f4f9/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/44ec384289903c56f725fa4c7080f4f9/metadata.json
@ -0,0 +1 @@
+{"duration": 35.028533935546875, "input_args": {"Data": "        F1     F2  F3  F4     F5  F6  F7     F8      F9  F10  F11     F12   F13  ...   F29_l1p  F30    F31  F32  F33  F34    F35  F36    F37  F38  F39  F40  F41\n0    1.185  9.085   0   0  2.263   3   0  3.642   0.000    0    1   9.902  46.7  ...  1.098612    0  0.000    1    0    0  0.014    0  4.054    0    0    0    0\n1    0.000  8.179   2   0  2.194   0   6  3.526   0.000    6    0  10.054  35.1  ...  0.000000    0  0.000    2    0    0  0.000    0  3.489    0    4    0    0\n2    0.762  8.297   0   3  2.424   0   0  3.339  21.884    0    0  10.226  42.1  ...  0.000000    8 -0.686    3    0    0  0.004    0  3.693    0    0    0    0\n3    1.747  9.673   0   2  2.690  23   0  4.645   9.855    0    1  12.353  31.6  ...  0.000000    2 -4.617    0    0   11  0.000    0  3.993    0    0    0    1\n4    1.824  9.825   0   2  2.700  27   0  4.795   9.894    0    1  12.519  31.8  ...  0.000000    2 -4.724    0    0   13  0.000    0  4.005    0    0    0    1\n..     ...    ...  ..  ..    ...  ..  ..    ...     ...  ...  ...     ...   ...  ...       ...  ...    ...  ...  ...  ...    ...  ...    ...  ...  ...  ...  ...\n832  1.125  7.878   0   1  2.136   0   0  2.990   0.000    0    0   9.311  43.8  ...  0.693147    2  0.000    1    0    0  0.045    0  3.573    0    0    0    0\n833  1.187  8.046   1   1  2.222   0   2  3.105   0.000    2    0   9.668  38.9  ...  1.098612    2  0.000    1    0    0 -0.025    0  3.666    0    2    0    0\n834  0.625  8.901   0   2  2.499   0   0  3.745  24.203    0    0  10.681  58.3  ...  0.000000    8 -0.128    6    0    0  0.000    0  3.942    0    0    0    0\n835  3.866  8.778   0   6  2.361   0   0  4.201  11.747    0    1  10.735  32.4  ...  0.000000    9 -0.347    1    0    0  0.000    0  3.497    0    0    0    0\n836  3.706  8.680   0   6  2.361   0   0  4.127  11.724    0    1  10.694  31.4  ...  0.000000    9 -0.338    1    0    0  0.000    0  3.497    0    0    0    0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/485f52ed4cb0c38642671ad4188376a9/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/485f52ed4cb0c38642671ad4188376a9/metadata.json
@ -1 +0,0 @@
-{"duration": 68.68374919891357, "input_args": {"Data": "       F4_p4  F15   F18_l1p  F4_p4+F15  F15+F18_l1p  F4_p4+F18_l1p  F4_p4+F15+F18_l1p  |F4_p4-F15|  |F15-F18_l1p|  ...  F18_l1p/F15  F4_p4/F18_l1p  F18_l1p/F4_p4  F4_p4/F15/F18_l1p  F4_p4/F18_l1p/F15  F15/F18_l1p/F4_p4  F15/F4_p4/F18_l1p  F18_l1p/F4_p4/F15  F18_l1p/F15/F4_p4\n0    3111696   20  5.940171    3111716    25.940171   3.111702e+06       3.111722e+06      3111676      14.059829  ...     0.297009   5.238394e+05   1.908982e-06       26191.972147       26191.972147       1.082016e-06       1.082016e-06       9.544909e-08       9.544909e-08\n1    4100625   19  5.802118    4100644    24.802118   4.100631e+06       4.100650e+06      4100606      13.197882  ...     0.305375   7.067462e+05   1.414935e-06       37197.167389       37197.167389       7.985773e-07       7.985773e-07       7.447027e-08       7.447027e-08\n2    4477456   19  5.736572    4477475    24.736572   4.477462e+06       4.477481e+06      4477437      13.263428  ...     0.301925   7.805107e+05   1.281212e-06       41079.509980       41079.509980       7.397242e-07       7.397242e-07       6.743223e-08       6.743223e-08\n3    5308416   18  5.641907    5308434    23.641907   5.308422e+06       5.308440e+06      5308398      12.358093  ...     0.313439   9.408904e+05   1.062823e-06       52271.686912       52271.686912       6.010099e-07       6.010099e-07       5.904573e-08       5.904573e-08\n4    8503056   17  5.411646    8503073    22.411646   8.503061e+06       8.503078e+06      8503039      11.588354  ...     0.318332   1.571251e+06   6.364354e-07       92426.548210       92426.548210       3.694405e-07       3.694405e-07       3.743738e-08       3.743738e-08\n..       ...  ...       ...        ...          ...            ...                ...          ...            ...  ...          ...            ...            ...                ...                ...                ...                ...                ...                ...\n841  4100625   19  5.789960    4100644    24.789960   4.100631e+06       4.100650e+06      4100606      13.210040  ...     0.304735   7.082303e+05   1.411970e-06       37275.276867       37275.276867       8.002542e-07       8.002542e-07       7.431422e-08       7.431422e-08\n842  4100625   19  5.817111    4100644    24.817111   4.100631e+06       4.100650e+06      4100606      13.182889  ...     0.306164   7.049246e+05   1.418591e-06       37101.296930       37101.296930       7.965191e-07       7.965191e-07       7.466270e-08       7.466270e-08\n843  3418801   19  5.849325    3418820    24.849325   3.418807e+06       3.418826e+06      3418782      13.150675  ...     0.307859   5.844779e+05   1.710929e-06       30761.994163       30761.994163       9.501103e-07       9.501103e-07       9.004888e-08       9.004888e-08\n844  2560000   20  6.008813    2560020    26.008813   2.560006e+06       2.560026e+06      2559980      13.991187  ...     0.300441   4.260409e+05   2.347193e-06       21302.043523       21302.043523       1.300174e-06       1.300174e-06       1.173596e-07       1.173596e-07\n845   456976   29  6.926577     457005    35.926577   4.569829e+05       4.570119e+05       456947      22.073423  ...     0.238847   6.597429e+04   1.515742e-05        2274.975508        2274.975508       9.161908e-06       9.161908e-06       5.226696e-07       5.226696e-07\n\n[846 rows x 27 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.9223705789444759,\n              eta=0.08487346516301046, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.0848734677, max_delta_step=0, max_depth=7,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=76, n_jobs=12, num_parallel_tree=1,\n              objective='multi:softprob', probability=True, random_state=42,\n              reg_alpha=0, reg_lambda=1, scale_pos_weight=None, silent=True,\n              subsample=0.8912139968434072, tree_method='exact',\n              use_label_encoder=False, validate_parameters=1, ...)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/498aaebdf7e953577636fb0a77d1e9f5/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/498aaebdf7e953577636fb0a77d1e9f5/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/4b9aa4234cd17658680e9705e0dfc853/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/4b9aa4234cd17658680e9705e0dfc853/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/4ba274c6e70c70db814318f28218b0fb/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/4ba274c6e70c70db814318f28218b0fb/metadata.json
@ -0,0 +1 @@
+{"duration": 37.603880882263184, "input_args": {"Data": "        F1     F2    F3_l1p  F4     F5  F6  F7     F8_l2      F9  F10  F11     F12   F13  F14     F15    F16  F17    F18     F19    F20_l2   F21_l1p  F22  F23    F24    F25       F26_p4  F27  F28  F29  F30    F31  F32  F33  F34    F35  F36    F37  F38  F39  F40  F41\n0    1.185  9.085  0.000000   0  2.263   3   0  1.864731   0.000    0    1   9.902  46.7    1  3.1934  1.359    0  1.034   1.476  1.584963  1.386294    0    0  1.100  2.483   541.987500    0    0    2    0  0.000    1    0    0  0.014    0  4.054    0    0    0    0\n1    0.000  8.179  1.098612   0  2.194   0   6  1.818032   0.000    6    0  10.054  35.1    0  1.8929  1.209    0  0.974   4.130  0.000000  0.000000    0    0  1.139  1.744   433.132851    0    0    0    0  0.000    2    0    0  0.000    0  3.489    0    4    0    0\n2    0.762  8.297  0.000000   3  2.424   0   0  1.739416  21.884    0    0  10.226  42.1    0  2.3934  1.204    0  1.027   1.027  0.000000  0.000000    0    2  1.120  2.773   616.048483    0    0    0    8 -0.686    3    0    0  0.004    0  3.693    0    0    0    0\n3    1.747  9.673  0.000000   2  2.690  23   0  2.215679   9.855    0    1  12.353  31.6    0  7.7233  0.906    0  1.291   5.094  0.000000  0.000000    0    0  1.348  5.741  1591.360175    1    0    0    2 -4.617    0    0   11  0.000    0  3.993    0    0    0    1\n4    1.824  9.825  0.000000   2  2.700  27   0  2.261531   9.894    0    1  12.519  31.8    0  7.9184  0.906    0  1.292   5.891  0.000000  0.000000    0    0  1.350  5.742  1605.516747    1    0    0    2 -4.724    0    0   13  0.000    0  4.005    0    0    0    1\n..     ...    ...       ...  ..    ...  ..  ..       ...     ...  ...  ...     ...   ...  ...     ...    ...  ...    ...     ...       ...       ...  ...  ...    ...    ...          ...  ...  ...  ...  ...    ...  ...  ...  ...    ...  ...    ...  ...  ...  ...  ...\n832  1.125  7.878  0.000000   1  2.136   0   0  1.580145   0.000    0    0   9.311  43.8    0  3.0778  1.253    0  0.991   1.481  0.000000  0.000000    0    0  1.117  2.146   409.698121    0    0    1    2  0.000    1    0    0  0.045    0  3.573    0    0    0    0\n833  1.187  8.046  0.693147   1  2.222   0   2  1.634593   0.000    2    0   9.668  38.9    0  3.2726  1.230    0  0.998   1.358  1.000000  0.000000    0    0  1.132  2.315   523.361201    2    0    2    2  0.000    1    0    0 -0.025    0  3.666    0    2    0    0\n834  0.625  8.901  0.000000   2  2.499   0   0  1.904966  24.203    0    0  10.681  58.3    0  2.3715  1.312    0  1.008   1.262  2.000000  0.000000    0    0  1.087  2.500   795.020055    0    0    0    8 -0.128    6    0    0  0.000    0  3.942    0    0    0    0\n835  3.866  8.778  0.000000   6  2.361   0   0  2.070733  11.747    0    1  10.735  32.4    0  1.9452  1.166    0  0.992  10.593  0.000000  0.000000    0    0  1.140  2.300   613.579107    3    0    0    9 -0.347    1    0    0  0.000    0  3.497    0    0    0    0\n836  3.706  8.680  0.000000   6  2.361   0   0  2.045093  11.724    0    1  10.694  31.4    0  1.9472  1.153    0  0.993   9.639  0.000000  0.000000    0    0  1.143  2.321   613.579107    3    0    0    9 -0.338    1    0    0  0.000    0  3.497    0    0    0    0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/4d4f2677947733cf5690e46ac2809a1f/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/4d4f2677947733cf5690e46ac2809a1f/metadata.json
@ -0,0 +1 @@
+{"duration": 31.682257890701294, "input_args": {"Data": "        F5_em1      F12_p2       F26_p4  F5_em1+F12_p2  F12_p2+F26_p4  F5_em1+F26_p4  F5_em1+F12_p2+F26_p4  ...  F26_p4/F5_em1  F5_em1/F12_p2/F26_p4  F5_em1/F26_p4/F12_p2  F12_p2/F26_p4/F5_em1  F12_p2/F5_em1/F26_p4  F26_p4/F5_em1/F12_p2  F26_p4/F12_p2/F5_em1\n0     8.611882   98.049604   541.987500     106.661486     640.037104     550.599382            648.648986  ...      62.934853              0.000162              0.000162              0.021007              0.021007              0.641867              0.641867\n1     7.971026  101.082916   433.132851     109.053942     534.215767     441.103876            542.186792  ...      54.338410              0.000182              0.000182              0.029278              0.029278              0.537563              0.537563\n2    10.290933  104.571076   616.048483     114.862009     720.619559     626.339416            730.910492  ...      59.863230              0.000160              0.000160              0.016495              0.016495              0.572465              0.572465\n3    13.731676  152.596609  1591.360175     166.328285    1743.956784    1605.091851           1757.688460  ...     115.889727              0.000057              0.000057              0.006983              0.006983              0.759452              0.759452\n4    13.879732  156.725361  1605.516747     170.605093    1762.242108    1619.396479           1776.121840  ...     115.673471              0.000055              0.000055              0.007033              0.007033              0.738065              0.738065\n..         ...         ...          ...            ...            ...            ...                   ...  ...            ...                   ...                   ...                   ...                   ...                   ...                   ...\n832   7.465508   86.694721   409.698121      94.160229     496.392842     417.163629            503.858350  ...      54.878802              0.000210              0.000210              0.028345              0.028345              0.633012              0.633012\n833   8.225764   93.470224   523.361201     101.695988     616.831425     531.586965            625.057189  ...      63.624632              0.000168              0.000168              0.021712              0.021712              0.680694              0.680694\n834  11.170318  114.083761   795.020055     125.254079     909.103816     806.190373            920.274134  ...      71.172556              0.000123              0.000123              0.012846              0.012846              0.623862              0.623862\n835   9.601548  115.240225   613.579107     124.841773     728.819332     623.180655            738.420880  ...      63.904188              0.000136              0.000136              0.019561              0.019561              0.554530              0.554530\n836   9.601548  114.361636   613.579107     123.963184     727.940743     623.180655            737.542291  ...      63.904188              0.000137              0.000137              0.019412              0.019412              0.558790              0.558790\n\n[837 rows x 27 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/4e5e0ad1742a47076aecdf47f8cce30d/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/4e5e0ad1742a47076aecdf47f8cce30d/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/51d22e80197033bfba7c393a5135e6a3/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/51d22e80197033bfba7c393a5135e6a3/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/520fc41c95deafe327fa32fd24b968c6/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/520fc41c95deafe327fa32fd24b968c6/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/5325ae9ab4d892e28c2fd6154fcfbcb9/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/5325ae9ab4d892e28c2fd6154fcfbcb9/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/5338659cb0c734abf279561337879b33/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/5338659cb0c734abf279561337879b33/metadata.json
@ -0,0 +1 @@
+{"duration": 10.513028860092163, "input_args": {"Data": "        F2    F37_l2  F2+F37_l2  |F2-F37_l2|  F2xF37_l2  F2/F37_l2  F37_l2/F2\n0    9.085  2.019346  11.104346     7.065654  18.345759   4.498981   0.222273\n1    8.179  1.802814   9.981814     6.376186  14.745212   4.536797   0.220420\n2    8.297  1.884793  10.181793     6.412207  15.638130   4.402074   0.227166\n3    9.673  1.997473  11.670473     7.675527  19.321557   4.842618   0.206500\n4    9.825  2.001802  11.826802     7.823198  19.667707   4.908077   0.203746\n..     ...       ...        ...          ...        ...        ...        ...\n832  7.878  1.837136   9.715136     6.040864  14.472957   4.288197   0.233198\n833  8.046  1.874207   9.920207     6.171793  15.079868   4.293016   0.232936\n834  8.901  1.978928  10.879928     6.922072  17.614436   4.497890   0.222326\n835  8.778  1.806118  10.584118     6.971882  15.854102   4.860148   0.205755\n836  8.680  1.806118  10.486118     6.873882  15.677102   4.805888   0.208078\n\n[837 rows x 7 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/5619edf6be3516c79ed02031bef792cc/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/5619edf6be3516c79ed02031bef792cc/metadata.json
@ -0,0 +1 @@
+{"duration": 46.4330849647522, "input_args": {"Data": "        F1     F2  F3  F4     F5_p2  F6  F7    F8_l1p      F9  F10  F11     F12   F13  F14     F15    F16  F17    F18     F19  F20  F21  F22  F23    F24    F25       F26_p4  F27  F28  F29  F30    F31  F32  F33  F34    F35  F36    F37  F38  F39  F40  F41\n0    1.185  9.085   0   0  5.121169   3   0  1.535145   0.000    0    1   9.902  46.7    1  3.1934  1.359    0  1.034   1.476    3    3    0    0  1.100  2.483   541.987500    0    0    2    0  0.000    1    0    0  0.014    0  4.054    0    0    0    0\n1    0.000  8.179   2   0  4.813636   0   6  1.509839   0.000    6    0  10.054  35.1    0  1.8929  1.209    0  0.974   4.130    0    0    0    0  1.139  1.744   433.132851    0    0    0    0  0.000    2    0    0  0.000    0  3.489    0    4    0    0\n2    0.762  8.297   0   3  5.875776   0   0  1.467644  21.884    0    0  10.226  42.1    0  2.3934  1.204    0  1.027   1.027    0    0    0    2  1.120  2.773   616.048483    0    0    0    8 -0.686    3    0    0  0.004    0  3.693    0    0    0    0\n3    1.747  9.673   0   2  7.236100  23   0  1.730770   9.855    0    1  12.353  31.6    0  7.7233  0.906    0  1.291   5.094    0    0    0    0  1.348  5.741  1591.360175    1    0    0    2 -4.617    0    0   11  0.000    0  3.993    0    0    0    1\n4    1.824  9.825   0   2  7.290000  27   0  1.756995   9.894    0    1  12.519  31.8    0  7.9184  0.906    0  1.292   5.891    0    0    0    0  1.350  5.742  1605.516747    1    0    0    2 -4.724    0    0   13  0.000    0  4.005    0    0    0    1\n..     ...    ...  ..  ..       ...  ..  ..       ...     ...  ...  ...     ...   ...  ...     ...    ...  ...    ...     ...  ...  ...  ...  ...    ...    ...          ...  ...  ...  ...  ...    ...  ...  ...  ...    ...  ...    ...  ...  ...  ...  ...\n832  1.125  7.878   0   1  4.562496   0   0  1.383791   0.000    0    0   9.311  43.8    0  3.0778  1.253    0  0.991   1.481    1    0    0    0  1.117  2.146   409.698121    0    0    1    2  0.000    1    0    0  0.045    0  3.573    0    0    0    0\n833  1.187  8.046   1   1  4.937284   0   2  1.412206   0.000    2    0   9.668  38.9    0  3.2726  1.230    0  0.998   1.358    2    0    0    0  1.132  2.315   523.361201    2    0    2    2  0.000    1    0    0 -0.025    0  3.666    0    2    0    0\n834  0.625  8.901   0   2  6.245001   0   0  1.557091  24.203    0    0  10.681  58.3    0  2.3715  1.312    0  1.008   1.262    4    0    0    0  1.087  2.500   795.020055    0    0    0    8 -0.128    6    0    0  0.000    0  3.942    0    0    0    0\n835  3.866  8.778   0   6  5.574321   0   0  1.648851  11.747    0    1  10.735  32.4    0  1.9452  1.166    0  0.992  10.593    0    0    0    0  1.140  2.300   613.579107    3    0    0    9 -0.347    1    0    0  0.000    0  3.497    0    0    0    0\n836  3.706  8.680   0   6  5.574321   0   0  1.634521  11.724    0    1  10.694  31.4    0  1.9472  1.153    0  0.993   9.639    0    0    0    0  1.143  2.321   613.579107    3    0    0    9 -0.338    1    0    0  0.000    0  3.497    0    0    0    0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/5635ceb7546a57c7b1f509770402b4d9/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/5635ceb7546a57c7b1f509770402b4d9/metadata.json
@ -0,0 +1 @@
+{"duration": 38.016146183013916, "input_args": {"Data": "        F1     F2    F3_l1p  F4     F5  F6  F7     F8_l2      F9  F10  F11     F12   F13  F14     F15    F16  F17    F18     F19  F20   F21_l1p  F22  F23    F24    F25       F26_p4  F27  F28  F29  F30    F31  F32  F33  F34    F35  F36    F37  F38  F39  F40  F41\n0    1.185  9.085  0.000000   0  2.263   3   0  1.864731   0.000    0    1   9.902  46.7    1  3.1934  1.359    0  1.034   1.476    3  1.386294    0    0  1.100  2.483   541.987500    0    0    2    0  0.000    1    0    0  0.014    0  4.054    0    0    0    0\n1    0.000  8.179  1.098612   0  2.194   0   6  1.818032   0.000    6    0  10.054  35.1    0  1.8929  1.209    0  0.974   4.130    0  0.000000    0    0  1.139  1.744   433.132851    0    0    0    0  0.000    2    0    0  0.000    0  3.489    0    4    0    0\n2    0.762  8.297  0.000000   3  2.424   0   0  1.739416  21.884    0    0  10.226  42.1    0  2.3934  1.204    0  1.027   1.027    0  0.000000    0    2  1.120  2.773   616.048483    0    0    0    8 -0.686    3    0    0  0.004    0  3.693    0    0    0    0\n3    1.747  9.673  0.000000   2  2.690  23   0  2.215679   9.855    0    1  12.353  31.6    0  7.7233  0.906    0  1.291   5.094    0  0.000000    0    0  1.348  5.741  1591.360175    1    0    0    2 -4.617    0    0   11  0.000    0  3.993    0    0    0    1\n4    1.824  9.825  0.000000   2  2.700  27   0  2.261531   9.894    0    1  12.519  31.8    0  7.9184  0.906    0  1.292   5.891    0  0.000000    0    0  1.350  5.742  1605.516747    1    0    0    2 -4.724    0    0   13  0.000    0  4.005    0    0    0    1\n..     ...    ...       ...  ..    ...  ..  ..       ...     ...  ...  ...     ...   ...  ...     ...    ...  ...    ...     ...  ...       ...  ...  ...    ...    ...          ...  ...  ...  ...  ...    ...  ...  ...  ...    ...  ...    ...  ...  ...  ...  ...\n832  1.125  7.878  0.000000   1  2.136   0   0  1.580145   0.000    0    0   9.311  43.8    0  3.0778  1.253    0  0.991   1.481    1  0.000000    0    0  1.117  2.146   409.698121    0    0    1    2  0.000    1    0    0  0.045    0  3.573    0    0    0    0\n833  1.187  8.046  0.693147   1  2.222   0   2  1.634593   0.000    2    0   9.668  38.9    0  3.2726  1.230    0  0.998   1.358    2  0.000000    0    0  1.132  2.315   523.361201    2    0    2    2  0.000    1    0    0 -0.025    0  3.666    0    2    0    0\n834  0.625  8.901  0.000000   2  2.499   0   0  1.904966  24.203    0    0  10.681  58.3    0  2.3715  1.312    0  1.008   1.262    4  0.000000    0    0  1.087  2.500   795.020055    0    0    0    8 -0.128    6    0    0  0.000    0  3.942    0    0    0    0\n835  3.866  8.778  0.000000   6  2.361   0   0  2.070733  11.747    0    1  10.735  32.4    0  1.9452  1.166    0  0.992  10.593    0  0.000000    0    0  1.140  2.300   613.579107    3    0    0    9 -0.347    1    0    0  0.000    0  3.497    0    0    0    0\n836  3.706  8.680  0.000000   6  2.361   0   0  2.045093  11.724    0    1  10.694  31.4    0  1.9472  1.153    0  0.993   9.639    0  0.000000    0    0  1.143  2.321   613.579107    3    0    0    9 -0.338    1    0    0  0.000    0  3.497    0    0    0    0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/5750f70183ad143b12ee3d9f5100c9a4/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/5750f70183ad143b12ee3d9f5100c9a4/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/5ae633be555c108d6dbaf783d5b7febf/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/5ae633be555c108d6dbaf783d5b7febf/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/5bee71a4dcef47cdb53bbc2a77fbbf76/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/5bee71a4dcef47cdb53bbc2a77fbbf76/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/5c610be4ba77f3e1013415fd5a6315bb/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/5c610be4ba77f3e1013415fd5a6315bb/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/5c6d9ec9ebd0c96ad37bcece2a7b1ab1/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/5c6d9ec9ebd0c96ad37bcece2a7b1ab1/metadata.json
@ -1 +0,0 @@
-{"duration": 20.79234027862549, "input_args": {"Data": "         F1_l2     F2       F3   F4     F5    F6   F7    F8    F9_l10   F10   F11\n0    -0.621488  0.065  0.99460  7.3   21.0  0.00  1.2  3.39 -0.327902  15.0  10.0\n1    -0.785875  0.073  0.99680  7.8   18.0  0.02  2.0  3.36 -0.244125   9.0   9.5\n2    -1.836501  0.092  0.99690  8.5  103.0  0.56  1.8  3.30 -0.124939  35.0  10.5\n3    -1.395929  0.066  0.99680  8.1   30.0  0.28  2.1  3.23 -0.136677  13.0   9.7\n4    -0.943416  0.085  0.99680  7.5   35.0  0.16  1.9  3.38 -0.207608  12.0   9.5\n...        ...    ...      ...  ...    ...   ...  ...   ...       ...   ...   ...\n1594 -0.736966  0.090  0.99490  6.2   44.0  0.08  2.0  3.45 -0.236572  32.0  10.5\n1595 -0.862496  0.062  0.99512  5.9   51.0  0.10  2.2  3.52 -0.119186  39.0  11.2\n1596 -0.971431  0.076  0.99574  6.3   40.0  0.13  2.3  3.42 -0.124939  29.0  11.0\n1597 -0.632629  0.075  0.99547  5.9   44.0  0.12  2.0  3.57 -0.148742  32.0  10.2\n1598 -1.689660  0.067  0.99549  6.0   42.0  0.47  3.6  3.39 -0.180456  18.0  11.0\n\n[1599 rows x 11 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.9223705789444759,\n              eta=0.08487346516301046, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.0848734677, max_delta_step=0, max_depth=7,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=76, n_jobs=12, num_parallel_tree=1,\n              objective='multi:softprob', probability=True, random_state=42,\n              reg_alpha=0, reg_lambda=1, scale_pos_weight=None, silent=True,\n              subsample=0.8912139968434072, tree_method='exact',\n              use_label_encoder=False, validate_parameters=1, ...)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/5e75c467e81d002fe3d1b9d0b67d946c/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/5e75c467e81d002fe3d1b9d0b67d946c/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/5fa740243b273457bc3baef8701c08b7/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/5fa740243b273457bc3baef8701c08b7/metadata.json
@ -1 +0,0 @@
-{"duration": 26.56610608100891, "input_args": {"Data": "         F1_l2     F2       F3   F4     F5  F6_b   F7    F8    F9_l10   F10   F11\n0    -0.621488  0.065  0.99460  7.3   21.0     1  1.2  3.39 -0.327902  15.0  10.0\n1    -0.785875  0.073  0.99680  7.8   18.0     1  2.0  3.36 -0.244125   9.0   9.5\n2    -1.836501  0.092  0.99690  8.5  103.0    11  1.8  3.30 -0.124939  35.0  10.5\n3    -1.395929  0.066  0.99680  8.1   30.0     6  2.1  3.23 -0.136677  13.0   9.7\n4    -0.943416  0.085  0.99680  7.5   35.0     3  1.9  3.38 -0.207608  12.0   9.5\n...        ...    ...      ...  ...    ...   ...  ...   ...       ...   ...   ...\n1594 -0.736966  0.090  0.99490  6.2   44.0     2  2.0  3.45 -0.236572  32.0  10.5\n1595 -0.862496  0.062  0.99512  5.9   51.0     2  2.2  3.52 -0.119186  39.0  11.2\n1596 -0.971431  0.076  0.99574  6.3   40.0     3  2.3  3.42 -0.124939  29.0  11.0\n1597 -0.632629  0.075  0.99547  5.9   44.0     3  2.0  3.57 -0.148742  32.0  10.2\n1598 -1.689660  0.067  0.99549  6.0   42.0     9  3.6  3.39 -0.180456  18.0  11.0\n\n[1599 rows x 11 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.9223705789444759,\n              eta=0.08487346516301046, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.0848734677, max_delta_step=0, max_depth=7,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=76, n_jobs=12, num_parallel_tree=1,\n              objective='multi:softprob', probability=True, random_state=42,\n              reg_alpha=0, reg_lambda=1, scale_pos_weight=None, silent=True,\n              subsample=0.8912139968434072, tree_method='exact',\n              use_label_encoder=False, validate_parameters=1, ...)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/610bb029753a23a56fb410e68151c6c1/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/610bb029753a23a56fb410e68151c6c1/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/64cbff1b01949bb0ce657830f9e570ab/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/64cbff1b01949bb0ce657830f9e570ab/metadata.json
@ -0,0 +1 @@
+{"duration": 10.50400710105896, "input_args": {"Data": "       F3_l1p  F39_l2  F3_l1p+F39_l2  |F3_l1p-F39_l2|  F3_l1pxF39_l2  F3_l1p/F39_l2  F39_l2/F3_l1p\n0    0.000000     0.0       0.000000         0.000000       0.000000       0.000000       0.000000\n1    1.098612     2.0       3.098612         0.901388       2.197225       0.549306       1.820478\n2    0.000000     0.0       0.000000         0.000000       0.000000       0.000000       0.000000\n3    0.000000     0.0       0.000000         0.000000       0.000000       0.000000       0.000000\n4    0.000000     0.0       0.000000         0.000000       0.000000       0.000000       0.000000\n..        ...     ...            ...              ...            ...            ...            ...\n832  0.000000     0.0       0.000000         0.000000       0.000000       0.000000       0.000000\n833  0.693147     1.0       1.693147         0.306853       0.693147       0.693147       1.442695\n834  0.000000     0.0       0.000000         0.000000       0.000000       0.000000       0.000000\n835  0.000000     0.0       0.000000         0.000000       0.000000       0.000000       0.000000\n836  0.000000     0.0       0.000000         0.000000       0.000000       0.000000       0.000000\n\n[837 rows x 7 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/6773274ba885294c36e936cd0b3de42c/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/6773274ba885294c36e936cd0b3de42c/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/678837c1e9d3a64ed577088ed10f6b7b/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/678837c1e9d3a64ed577088ed10f6b7b/metadata.json
@ -0,0 +1 @@
+{"duration": 34.598389863967896, "input_args": {"Data": "        F1     F2  F3  F4     F5_em1  F6  F7     F8      F9  F10  F11      F12_p2   F13  F14     F15    F16  F17    F18     F19  F20  F21  F22  F23    F24    F25       F26_p4  F27  F28  F29  F30    F31  F32  F33  F34    F35  F36    F37  F38  F39  F40  F41  F5_em1xF26_p4\n0    1.185  9.085   0   0   8.611882   3   0  3.642   0.000    0    1   98.049604  46.7    1  3.1934  1.359    0  1.034   1.476    3    3    0    0  1.100  2.483   541.987500    0    0    2    0  0.000    1    0    0  0.014    0  4.054    0    0    0    0    4667.532183\n1    0.000  8.179   2   0   7.971026   0   6  3.526   0.000    6    0  101.082916  35.1    0  1.8929  1.209    0  0.974   4.130    0    0    0    0  1.139  1.744   433.132851    0    0    0    0  0.000    2    0    0  0.000    0  3.489    0    4    0    0    3452.513017\n2    0.762  8.297   0   3  10.290933   0   0  3.339  21.884    0    0  104.571076  42.1    0  2.3934  1.204    0  1.027   1.027    0    0    0    2  1.120  2.773   616.048483    0    0    0    8 -0.686    3    0    0  0.004    0  3.693    0    0    0    0    6339.713569\n3    1.747  9.673   0   2  13.731676  23   0  4.645   9.855    0    1  152.596609  31.6    0  7.7233  0.906    0  1.291   5.094    0    0    0    0  1.348  5.741  1591.360175    1    0    0    2 -4.617    0    0   11  0.000    0  3.993    0    0    0    1   21852.042198\n4    1.824  9.825   0   2  13.879732  27   0  4.795   9.894    0    1  156.725361  31.8    0  7.9184  0.906    0  1.292   5.891    0    0    0    0  1.350  5.742  1605.516747    1    0    0    2 -4.724    0    0   13  0.000    0  4.005    0    0    0    1   22284.141731\n..     ...    ...  ..  ..        ...  ..  ..    ...     ...  ...  ...         ...   ...  ...     ...    ...  ...    ...     ...  ...  ...  ...  ...    ...    ...          ...  ...  ...  ...  ...    ...  ...  ...  ...    ...  ...    ...  ...  ...  ...  ...            ...\n832  1.125  7.878   0   1   7.465508   0   0  2.990   0.000    0    0   86.694721  43.8    0  3.0778  1.253    0  0.991   1.481    1    0    0    0  1.117  2.146   409.698121    0    0    1    2  0.000    1    0    0  0.045    0  3.573    0    0    0    0    3058.604515\n833  1.187  8.046   1   1   8.225764   0   2  3.105   0.000    2    0   93.470224  38.9    0  3.2726  1.230    0  0.998   1.358    2    0    0    0  1.132  2.315   523.361201    2    0    2    2  0.000    1    0    0 -0.025    0  3.666    0    2    0    0    4305.045703\n834  0.625  8.901   0   2  11.170318   0   0  3.745  24.203    0    0  114.083761  58.3    0  2.3715  1.312    0  1.008   1.262    4    0    0    0  1.087  2.500   795.020055    0    0    0    8 -0.128    6    0    0  0.000    0  3.942    0    0    0    0    8880.626480\n835  3.866  8.778   0   6   9.601548   0   0  4.201  11.747    0    1  115.240225  32.4    0  1.9452  1.166    0  0.992  10.593    0    0    0    0  1.140  2.300   613.579107    3    0    0    9 -0.347    1    0    0  0.000    0  3.497    0    0    0    0    5891.309064\n836  3.706  8.680   0   6   9.601548   0   0  4.127  11.724    0    1  114.361636  31.4    0  1.9472  1.153    0  0.993   9.639    0    0    0    0  1.143  2.321   613.579107    3    0    0    9 -0.338    1    0    0  0.000    0  3.497    0    0    0    0    5891.309064\n\n[837 rows x 42 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/696aa511b71ded760fcddc1a66f612dd/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/696aa511b71ded760fcddc1a66f612dd/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/6a00ae0dc0a73430ffc1bb4fb54c4f00/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/6a00ae0dc0a73430ffc1bb4fb54c4f00/metadata.json
@ -0,0 +1 @@
+{"duration": 32.66441011428833, "input_args": {"Data": "        F1     F2  F3  F4     F5  F6  F7    F8_l1p      F9  F10  F11     F12   F13  F14     F15    F16  F17    F18     F19  F20  F21  F22  F23    F24    F25       F26_p4  F27  F28  F29  F30    F31  F32  F33  F34    F35  F36    F37  F38  F39  F40  F41\n0    1.185  9.085   0   0  2.263   3   0  1.535145   0.000    0    1   9.902  46.7    1  3.1934  1.359    0  1.034   1.476    3    3    0    0  1.100  2.483   541.987500    0    0    2    0  0.000    1    0    0  0.014    0  4.054    0    0    0    0\n1    0.000  8.179   2   0  2.194   0   6  1.509839   0.000    6    0  10.054  35.1    0  1.8929  1.209    0  0.974   4.130    0    0    0    0  1.139  1.744   433.132851    0    0    0    0  0.000    2    0    0  0.000    0  3.489    0    4    0    0\n2    0.762  8.297   0   3  2.424   0   0  1.467644  21.884    0    0  10.226  42.1    0  2.3934  1.204    0  1.027   1.027    0    0    0    2  1.120  2.773   616.048483    0    0    0    8 -0.686    3    0    0  0.004    0  3.693    0    0    0    0\n3    1.747  9.673   0   2  2.690  23   0  1.730770   9.855    0    1  12.353  31.6    0  7.7233  0.906    0  1.291   5.094    0    0    0    0  1.348  5.741  1591.360175    1    0    0    2 -4.617    0    0   11  0.000    0  3.993    0    0    0    1\n4    1.824  9.825   0   2  2.700  27   0  1.756995   9.894    0    1  12.519  31.8    0  7.9184  0.906    0  1.292   5.891    0    0    0    0  1.350  5.742  1605.516747    1    0    0    2 -4.724    0    0   13  0.000    0  4.005    0    0    0    1\n..     ...    ...  ..  ..    ...  ..  ..       ...     ...  ...  ...     ...   ...  ...     ...    ...  ...    ...     ...  ...  ...  ...  ...    ...    ...          ...  ...  ...  ...  ...    ...  ...  ...  ...    ...  ...    ...  ...  ...  ...  ...\n832  1.125  7.878   0   1  2.136   0   0  1.383791   0.000    0    0   9.311  43.8    0  3.0778  1.253    0  0.991   1.481    1    0    0    0  1.117  2.146   409.698121    0    0    1    2  0.000    1    0    0  0.045    0  3.573    0    0    0    0\n833  1.187  8.046   1   1  2.222   0   2  1.412206   0.000    2    0   9.668  38.9    0  3.2726  1.230    0  0.998   1.358    2    0    0    0  1.132  2.315   523.361201    2    0    2    2  0.000    1    0    0 -0.025    0  3.666    0    2    0    0\n834  0.625  8.901   0   2  2.499   0   0  1.557091  24.203    0    0  10.681  58.3    0  2.3715  1.312    0  1.008   1.262    4    0    0    0  1.087  2.500   795.020055    0    0    0    8 -0.128    6    0    0  0.000    0  3.942    0    0    0    0\n835  3.866  8.778   0   6  2.361   0   0  1.648851  11.747    0    1  10.735  32.4    0  1.9452  1.166    0  0.992  10.593    0    0    0    0  1.140  2.300   613.579107    3    0    0    9 -0.347    1    0    0  0.000    0  3.497    0    0    0    0\n836  3.706  8.680   0   6  2.361   0   0  1.634521  11.724    0    1  10.694  31.4    0  1.9472  1.153    0  0.993   9.639    0    0    0    0  1.143  2.321   613.579107    3    0    0    9 -0.338    1    0    0  0.000    0  3.497    0    0    0    0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/6a8b4f44c93cb574e128ff83bfc2bcbe/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/6a8b4f44c93cb574e128ff83bfc2bcbe/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/6c7221458a9d947f06a9502fc98332dd/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/6c7221458a9d947f06a9502fc98332dd/metadata.json
@ -1 +0,0 @@
-{"duration": 40.40978789329529, "input_args": {"Data": "        F1     F2  F3  F4     F5  F6  F7     F8      F9  F10  F11     F12   F13  F14     F15    F16  F17    F18     F19  F20   F21_l1p  F22  F23    F24    F25     F26_p2  F27  F28  F29  F30    F31  F32  F33  F34    F35  F36    F37  F38  F39  F40  F41  F12/F26_p2/F5\n0    1.185  9.085   0   0  2.263   3   0  3.642   0.000    0    1   9.902  46.7    1  3.1934  1.359    0  1.034   1.476    3  1.386294    0    0  1.100  2.483  23.280625    0    0    2    0  0.000    1    0    0  0.014    0  4.054    0    0    0    0       0.187951\n1    0.000  8.179   2   0  2.194   0   6  3.526   0.000    6    0  10.054  35.1    0  1.8929  1.209    0  0.974   4.130    0  0.000000    0    0  1.139  1.744  20.811844    0    0    0    0  0.000    2    0    0  0.000    0  3.489    0    4    0    0       0.220187\n2    0.762  8.297   0   3  2.424   0   0  3.339  21.884    0    0  10.226  42.1    0  2.3934  1.204    0  1.027   1.027    0  0.000000    0    2  1.120  2.773  24.820324    0    0    0    8 -0.686    3    0    0  0.004    0  3.693    0    0    0    0       0.169967\n3    1.747  9.673   0   2  2.690  23   0  4.645   9.855    0    1  12.353  31.6    0  7.7233  0.906    0  1.291   5.094    0  0.000000    0    0  1.348  5.741  39.891856    1    0    0    2 -4.617    0    0   11  0.000    0  3.993    0    0    0    1       0.115116\n4    1.824  9.825   0   2  2.700  27   0  4.795   9.894    0    1  12.519  31.8    0  7.9184  0.906    0  1.292   5.891    0  0.000000    0    0  1.350  5.742  40.068900    1    0    0    2 -4.724    0    0   13  0.000    0  4.005    0    0    0    1       0.115717\n..     ...    ...  ..  ..    ...  ..  ..    ...     ...  ...  ...     ...   ...  ...     ...    ...  ...    ...     ...  ...       ...  ...  ...    ...    ...        ...  ...  ...  ...  ...    ...  ...  ...  ...    ...  ...    ...  ...  ...  ...  ...            ...\n832  1.125  7.878   0   1  2.136   0   0  2.990   0.000    0    0   9.311  43.8    0  3.0778  1.253    0  0.991   1.481    1  0.000000    0    0  1.117  2.146  20.241001    0    0    1    2  0.000    1    0    0  0.045    0  3.573    0    0    0    0       0.215359\n833  1.187  8.046   1   1  2.222   0   2  3.105   0.000    2    0   9.668  38.9    0  3.2726  1.230    0  0.998   1.358    2  0.000000    0    0  1.132  2.315  22.877089    2    0    2    2  0.000    1    0    0 -0.025    0  3.666    0    2    0    0       0.190192\n834  0.625  8.901   0   2  2.499   0   0  3.745  24.203    0    0  10.681  58.3    0  2.3715  1.312    0  1.008   1.262    4  0.000000    0    0  1.087  2.500  28.196100    0    0    0    8 -0.128    6    0    0  0.000    0  3.942    0    0    0    0       0.151585\n835  3.866  8.778   0   6  2.361   0   0  4.201  11.747    0    1  10.735  32.4    0  1.9452  1.166    0  0.992  10.593    0  0.000000    0    0  1.140  2.300  24.770529    3    0    0    9 -0.347    1    0    0  0.000    0  3.497    0    0    0    0       0.183557\n836  3.706  8.680   0   6  2.361   0   0  4.127  11.724    0    1  10.694  31.4    0  1.9472  1.153    0  0.993   9.639    0  0.000000    0    0  1.143  2.321  24.770529    3    0    0    9 -0.338    1    0    0  0.000    0  3.497    0    0    0    0       0.182856\n\n[837 rows x 42 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/6cb9aa4d3e4f65304fcd4f4b64757ac2/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/6cb9aa4d3e4f65304fcd4f4b64757ac2/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/6cf213f12622de3190590ff357a547c7/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/6cf213f12622de3190590ff357a547c7/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/6d2be047daf51bdd2730a3af563cfed8/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/6d2be047daf51bdd2730a3af563cfed8/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/6e02e84047b19fc8eff9a063b06e8edd/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/6e02e84047b19fc8eff9a063b06e8edd/metadata.json
@ -0,0 +1 @@
+{"duration": 40.33880281448364, "input_args": {"Data": "        F1     F2  F3  F4     F5  F6  F7     F8_l2      F9  F10  F11     F12   F13  ...  F29  F30    F31  F32  F33  F34    F35  F36    F37  F38  F39  F40  F41\n0    1.185  9.085   0   0  2.263   3   0  1.864731   0.000    0    1   9.902  46.7  ...    2    0  0.000    1    0    0  0.014    0  4.054    0    0    0    0\n1    0.000  8.179   2   0  2.194   0   6  1.818032   0.000    6    0  10.054  35.1  ...    0    0  0.000    2    0    0  0.000    0  3.489    0    4    0    0\n2    0.762  8.297   0   3  2.424   0   0  1.739416  21.884    0    0  10.226  42.1  ...    0    8 -0.686    3    0    0  0.004    0  3.693    0    0    0    0\n3    1.747  9.673   0   2  2.690  23   0  2.215679   9.855    0    1  12.353  31.6  ...    0    2 -4.617    0    0   11  0.000    0  3.993    0    0    0    1\n4    1.824  9.825   0   2  2.700  27   0  2.261531   9.894    0    1  12.519  31.8  ...    0    2 -4.724    0    0   13  0.000    0  4.005    0    0    0    1\n..     ...    ...  ..  ..    ...  ..  ..       ...     ...  ...  ...     ...   ...  ...  ...  ...    ...  ...  ...  ...    ...  ...    ...  ...  ...  ...  ...\n832  1.125  7.878   0   1  2.136   0   0  1.580145   0.000    0    0   9.311  43.8  ...    1    2  0.000    1    0    0  0.045    0  3.573    0    0    0    0\n833  1.187  8.046   1   1  2.222   0   2  1.634593   0.000    2    0   9.668  38.9  ...    2    2  0.000    1    0    0 -0.025    0  3.666    0    2    0    0\n834  0.625  8.901   0   2  2.499   0   0  1.904966  24.203    0    0  10.681  58.3  ...    0    8 -0.128    6    0    0  0.000    0  3.942    0    0    0    0\n835  3.866  8.778   0   6  2.361   0   0  2.070733  11.747    0    1  10.735  32.4  ...    0    9 -0.347    1    0    0  0.000    0  3.497    0    0    0    0\n836  3.706  8.680   0   6  2.361   0   0  2.045093  11.724    0    1  10.694  31.4  ...    0    9 -0.338    1    0    0  0.000    0  3.497    0    0    0    0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/7102203dd1359b6f1157285dc780242a/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/7102203dd1359b6f1157285dc780242a/metadata.json
@ -1 +0,0 @@
-{"duration": 10.277156114578247, "input_args": {"Data": "       F4_p4   F18_l1p  F4_p4+F18_l1p  |F4_p4-F18_l1p|  F4_p4xF18_l1p  F4_p4/F18_l1p  F18_l1p/F4_p4\n0    3111696  5.940171   3.111702e+06     3.111690e+06   1.848401e+07   5.238394e+05   1.908982e-06\n1    4100625  5.802118   4.100631e+06     4.100619e+06   2.379231e+07   7.067462e+05   1.414935e-06\n2    4477456  5.736572   4.477462e+06     4.477450e+06   2.568525e+07   7.805107e+05   1.281212e-06\n3    5308416  5.641907   5.308422e+06     5.308410e+06   2.994959e+07   9.408904e+05   1.062823e-06\n4    8503056  5.411646   8.503061e+06     8.503051e+06   4.601553e+07   1.571251e+06   6.364354e-07\n..       ...       ...            ...              ...            ...            ...            ...\n841  4100625  5.789960   4.100631e+06     4.100619e+06   2.374246e+07   7.082303e+05   1.411970e-06\n842  4100625  5.817111   4.100631e+06     4.100619e+06   2.385379e+07   7.049246e+05   1.418591e-06\n843  3418801  5.849325   3.418807e+06     3.418795e+06   1.999768e+07   5.844779e+05   1.710929e-06\n844  2560000  6.008813   2.560006e+06     2.559994e+06   1.538256e+07   4.260409e+05   2.347193e-06\n845   456976  6.926577   4.569829e+05     4.569691e+05   3.165279e+06   6.597429e+04   1.515742e-05\n\n[846 rows x 7 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.9223705789444759,\n              eta=0.08487346516301046, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.0848734677, max_delta_step=0, max_depth=7,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=76, n_jobs=12, num_parallel_tree=1,\n              objective='multi:softprob', probability=True, random_state=42,\n              reg_alpha=0, reg_lambda=1, scale_pos_weight=None, silent=True,\n              subsample=0.8912139968434072, tree_method='exact',\n              use_label_encoder=False, validate_parameters=1, ...)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/72a6b348a0dd22fb660d39f82b6736d8/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/72a6b348a0dd22fb660d39f82b6736d8/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/72ac4adfa3e5cbdd57bcba63418bbace/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/72ac4adfa3e5cbdd57bcba63418bbace/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/74bc362a63daf52533adca063a624313/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/74bc362a63daf52533adca063a624313/metadata.json
@ -1 +0,0 @@
-{"duration": 26.64803910255432, "input_args": {"Data": "      F1   F2  F3    F4_p4  F5   F6  F7  F8   F9  F10  F11  F12  F13  F14  F15  F16  F17   F18\n0    184  162  48  3111696  70  197  10   6  176   72   95  159   16  178   20  187   83   379\n1    158  149  41  4100625  72  199   9   9  170   57   91  143   14  141   19  189   84   330\n2    127  144  41  4477456  63  207   9   6  160   63   93  143   10  159   19  199   82   309\n3    164  137  43  5308416  67  202   9   3  162   65   90  146    3  157   18  193   66   281\n4    112  122  34  8503056  64  208   7   2  141   61   86  127   14  140   17  200   62   223\n..   ...  ...  ..      ...  ..  ...  ..  ..  ...  ...  ...  ...  ...  ...  ...  ...  ...   ...\n841  173  150  43  4100625  83  183   7   4  172   55   85  146   15  123   19  180   66   326\n842  186  151  45  4100625  88  185  22   1  186   69   81  147   10  154   19  180   68   335\n843  119  151  37  3418801  65  208   7   0  167   66   97  129   16  173   19  201   70   346\n844  172  162  47  2560000  68  205   7   9  179   70  100  153    6  185   20  200   70   406\n845  255  265  58   456976  85  183   6   4  285   51  111  174    8  183   29  181  105  1018\n\n[846 rows x 18 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.9223705789444759,\n              eta=0.08487346516301046, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.0848734677, max_delta_step=0, max_depth=7,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=76, n_jobs=12, num_parallel_tree=1,\n              objective='multi:softprob', probability=True, random_state=42,\n              reg_alpha=0, reg_lambda=1, scale_pos_weight=None, silent=True,\n              subsample=0.8912139968434072, tree_method='exact',\n              use_label_encoder=False, validate_parameters=1, ...)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/751c583899c82c3dd976754417920520/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/751c583899c82c3dd976754417920520/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/7579af4607993be593f716b06d743391/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/7579af4607993be593f716b06d743391/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/758edac5fdf9a29fc85fa1a3b2a9c409/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/758edac5fdf9a29fc85fa1a3b2a9c409/metadata.json
@ -0,0 +1 @@
+{"duration": 24.760726928710938, "input_args": {"Data": "        F1     F2  F3  F4     F5_em1  F6  F7     F8      F9  F10  F11     F12   F13  F14     F15    F16  F17    F18     F19  F20  F21  F22  F23    F24    F25       F26_p4  F27  F28  F29  F30    F31  F32  F33  F34    F35  F36    F37  F38  F39  F40  F41\n0    1.185  9.085   0   0   8.611882   3   0  3.642   0.000    0    1   9.902  46.7    1  3.1934  1.359    0  1.034   1.476    3    3    0    0  1.100  2.483   541.987500    0    0    2    0  0.000    1    0    0  0.014    0  4.054    0    0    0    0\n1    0.000  8.179   2   0   7.971026   0   6  3.526   0.000    6    0  10.054  35.1    0  1.8929  1.209    0  0.974   4.130    0    0    0    0  1.139  1.744   433.132851    0    0    0    0  0.000    2    0    0  0.000    0  3.489    0    4    0    0\n2    0.762  8.297   0   3  10.290933   0   0  3.339  21.884    0    0  10.226  42.1    0  2.3934  1.204    0  1.027   1.027    0    0    0    2  1.120  2.773   616.048483    0    0    0    8 -0.686    3    0    0  0.004    0  3.693    0    0    0    0\n3    1.747  9.673   0   2  13.731676  23   0  4.645   9.855    0    1  12.353  31.6    0  7.7233  0.906    0  1.291   5.094    0    0    0    0  1.348  5.741  1591.360175    1    0    0    2 -4.617    0    0   11  0.000    0  3.993    0    0    0    1\n4    1.824  9.825   0   2  13.879732  27   0  4.795   9.894    0    1  12.519  31.8    0  7.9184  0.906    0  1.292   5.891    0    0    0    0  1.350  5.742  1605.516747    1    0    0    2 -4.724    0    0   13  0.000    0  4.005    0    0    0    1\n..     ...    ...  ..  ..        ...  ..  ..    ...     ...  ...  ...     ...   ...  ...     ...    ...  ...    ...     ...  ...  ...  ...  ...    ...    ...          ...  ...  ...  ...  ...    ...  ...  ...  ...    ...  ...    ...  ...  ...  ...  ...\n832  1.125  7.878   0   1   7.465508   0   0  2.990   0.000    0    0   9.311  43.8    0  3.0778  1.253    0  0.991   1.481    1    0    0    0  1.117  2.146   409.698121    0    0    1    2  0.000    1    0    0  0.045    0  3.573    0    0    0    0\n833  1.187  8.046   1   1   8.225764   0   2  3.105   0.000    2    0   9.668  38.9    0  3.2726  1.230    0  0.998   1.358    2    0    0    0  1.132  2.315   523.361201    2    0    2    2  0.000    1    0    0 -0.025    0  3.666    0    2    0    0\n834  0.625  8.901   0   2  11.170318   0   0  3.745  24.203    0    0  10.681  58.3    0  2.3715  1.312    0  1.008   1.262    4    0    0    0  1.087  2.500   795.020055    0    0    0    8 -0.128    6    0    0  0.000    0  3.942    0    0    0    0\n835  3.866  8.778   0   6   9.601548   0   0  4.201  11.747    0    1  10.735  32.4    0  1.9452  1.166    0  0.992  10.593    0    0    0    0  1.140  2.300   613.579107    3    0    0    9 -0.347    1    0    0  0.000    0  3.497    0    0    0    0\n836  3.706  8.680   0   6   9.601548   0   0  4.127  11.724    0    1  10.694  31.4    0  1.9472  1.153    0  0.993   9.639    0    0    0    0  1.143  2.321   613.579107    3    0    0    9 -0.338    1    0    0  0.000    0  3.497    0    0    0    0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/760b2cbd0988b06f70ccd37910f3033b/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/760b2cbd0988b06f70ccd37910f3033b/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/76bcf55a91df8fc3fc34773609714dee/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/76bcf55a91df8fc3fc34773609714dee/metadata.json
@ -1 +0,0 @@
-{"duration": 36.848369121551514, "input_args": {"Data": "        F5     F12     F26_p2  F5+F12  F12+F26_p2  F5+F26_p2  F5+F12+F26_p2  |F5-F12|  |F12-F26_p2|  |F5-F26_p2|  ...  F12/F26_p2  F26_p2/F12  F5/F26_p2  F26_p2/F5  F5/F12/F26_p2  F5/F26_p2/F12  F12/F26_p2/F5  F12/F5/F26_p2  F26_p2/F5/F12  F26_p2/F12/F5\n0    2.263   9.902  23.280625  12.165   33.182625  25.543625      35.445625     7.639     13.378625    21.017625  ...    0.425332    2.351103   0.097205  10.287506       0.009817       0.009817       0.187951       0.187951       1.038932       1.038932\n1    2.194  10.054  20.811844  12.248   30.865844  23.005844      33.059844     7.860     10.757844    18.617844  ...    0.483090    2.070006   0.105421   9.485799       0.010485       0.010485       0.220187       0.220187       0.943485       0.943485\n2    2.424  10.226  24.820324  12.650   35.046324  27.244324      37.470324     7.802     14.594324    22.396324  ...    0.412001    2.427178   0.097662  10.239408       0.009550       0.009550       0.169967       0.169967       1.001311       1.001311\n3    2.690  12.353  39.891856  15.043   52.244856  42.581856      54.934856     9.663     27.538856    37.201856  ...    0.309662    3.229325   0.067432  14.829686       0.005459       0.005459       0.115116       0.115116       1.200493       1.200493\n4    2.700  12.519  40.068900  15.219   52.587900  42.768900      55.287900     9.819     27.549900    37.368900  ...    0.312437    3.200647   0.067384  14.840333       0.005383       0.005383       0.115717       0.115717       1.185425       1.185425\n..     ...     ...        ...     ...         ...        ...            ...       ...           ...          ...  ...         ...         ...        ...        ...            ...            ...            ...            ...            ...            ...\n832  2.136   9.311  20.241001  11.447   29.552001  22.377001      31.688001     7.175     10.930001    18.105001  ...    0.460007    2.173880   0.105528   9.476124       0.011334       0.011334       0.215359       0.215359       1.017734       1.017734\n833  2.222   9.668  22.877089  11.890   32.545089  25.099089      34.767089     7.446     13.209089    20.655089  ...    0.422606    2.366269   0.097128  10.295720       0.010046       0.010046       0.190192       0.190192       1.064928       1.064928\n834  2.499  10.681  28.196100  13.180   38.877100  30.695100      41.376100     8.182     17.515100    25.697100  ...    0.378811    2.639837   0.088629  11.282953       0.008298       0.008298       0.151585       0.151585       1.056357       1.056357\n835  2.361  10.735  24.770529  13.096   35.505529  27.131529      37.866529     8.374     14.035529    22.409529  ...    0.433378    2.307455   0.095315  10.491541       0.008879       0.008879       0.183557       0.183557       0.977321       0.977321\n836  2.361  10.694  24.770529  13.055   35.464529  27.131529      37.825529     8.333     14.076529    22.409529  ...    0.431723    2.316302   0.095315  10.491541       0.008913       0.008913       0.182856       0.182856       0.981068       0.981068\n\n[837 rows x 27 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/7b6afa134d7be07aeaaf83d85cdce228/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/7b6afa134d7be07aeaaf83d85cdce228/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/7dd418660b962dbd9a2af1431c0496af/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/7dd418660b962dbd9a2af1431c0496af/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/7e5ca030c1668579fbf1c3bfe24d631c/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/7e5ca030c1668579fbf1c3bfe24d631c/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/843d286a97b9fd43f2e2f89ab586b877/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/843d286a97b9fd43f2e2f89ab586b877/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/8535477c687736c77a69b62894907190/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/8535477c687736c77a69b62894907190/metadata.json
@ -1 +0,0 @@
-{"duration": 39.3106529712677, "input_args": {"Data": "        F1     F2  F3  F4     F5  F6  F7     F8      F9  F10  F11     F12   F13  F14     F15    F16  F17    F18     F19  F20  F21  F22  F23    F24    F25     F26_p2  F27  F28  F29  F30    F31  F32  F33  F34    F35  F36    F37  F38  F39  F40  F41\n0    1.185  9.085   0   0  2.263   3   0  3.642   0.000    0    1   9.902  46.7    1  3.1934  1.359    0  1.034   1.476    3    3    0    0  1.100  2.483  23.280625    0    0    2    0  0.000    1    0    0  0.014    0  4.054    0    0    0    0\n1    0.000  8.179   2   0  2.194   0   6  3.526   0.000    6    0  10.054  35.1    0  1.8929  1.209    0  0.974   4.130    0    0    0    0  1.139  1.744  20.811844    0    0    0    0  0.000    2    0    0  0.000    0  3.489    0    4    0    0\n2    0.762  8.297   0   3  2.424   0   0  3.339  21.884    0    0  10.226  42.1    0  2.3934  1.204    0  1.027   1.027    0    0    0    2  1.120  2.773  24.820324    0    0    0    8 -0.686    3    0    0  0.004    0  3.693    0    0    0    0\n3    1.747  9.673   0   2  2.690  23   0  4.645   9.855    0    1  12.353  31.6    0  7.7233  0.906    0  1.291   5.094    0    0    0    0  1.348  5.741  39.891856    1    0    0    2 -4.617    0    0   11  0.000    0  3.993    0    0    0    1\n4    1.824  9.825   0   2  2.700  27   0  4.795   9.894    0    1  12.519  31.8    0  7.9184  0.906    0  1.292   5.891    0    0    0    0  1.350  5.742  40.068900    1    0    0    2 -4.724    0    0   13  0.000    0  4.005    0    0    0    1\n..     ...    ...  ..  ..    ...  ..  ..    ...     ...  ...  ...     ...   ...  ...     ...    ...  ...    ...     ...  ...  ...  ...  ...    ...    ...        ...  ...  ...  ...  ...    ...  ...  ...  ...    ...  ...    ...  ...  ...  ...  ...\n832  1.125  7.878   0   1  2.136   0   0  2.990   0.000    0    0   9.311  43.8    0  3.0778  1.253    0  0.991   1.481    1    0    0    0  1.117  2.146  20.241001    0    0    1    2  0.000    1    0    0  0.045    0  3.573    0    0    0    0\n833  1.187  8.046   1   1  2.222   0   2  3.105   0.000    2    0   9.668  38.9    0  3.2726  1.230    0  0.998   1.358    2    0    0    0  1.132  2.315  22.877089    2    0    2    2  0.000    1    0    0 -0.025    0  3.666    0    2    0    0\n834  0.625  8.901   0   2  2.499   0   0  3.745  24.203    0    0  10.681  58.3    0  2.3715  1.312    0  1.008   1.262    4    0    0    0  1.087  2.500  28.196100    0    0    0    8 -0.128    6    0    0  0.000    0  3.942    0    0    0    0\n835  3.866  8.778   0   6  2.361   0   0  4.201  11.747    0    1  10.735  32.4    0  1.9452  1.166    0  0.992  10.593    0    0    0    0  1.140  2.300  24.770529    3    0    0    9 -0.347    1    0    0  0.000    0  3.497    0    0    0    0\n836  3.706  8.680   0   6  2.361   0   0  4.127  11.724    0    1  10.694  31.4    0  1.9472  1.153    0  0.993   9.639    0    0    0    0  1.143  2.321  24.770529    3    0    0    9 -0.338    1    0    0  0.000    0  3.497    0    0    0    0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/87b94a4add2e9fd3dab5c7c46aeff563/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/87b94a4add2e9fd3dab5c7c46aeff563/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/87f281cc6a3026fff16744d27118fd89/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/87f281cc6a3026fff16744d27118fd89/metadata.json
@ -0,0 +1 @@
+{"duration": 39.896358013153076, "input_args": {"Data": "        F1     F2  F3  F4     F5  F6  F7     F8      F9  F10  F11     F12   F13  F14  ...  F28  F29  F30    F31  F32  F33  F34    F35  F36    F37  F38  F39  F40  F41\n0    1.185  9.085   0   0  2.263   3   0  3.642   0.000    0    1   9.902  46.7    1  ...    0    2    0  0.000    1    0    0  0.014    0  4.054    0    0    0    0\n1    0.000  8.179   2   0  2.194   0   6  3.526   0.000    6    0  10.054  35.1    0  ...    0    0    0  0.000    2    0    0  0.000    0  3.489    0    4    0    0\n2    0.762  8.297   0   3  2.424   0   0  3.339  21.884    0    0  10.226  42.1    0  ...    0    0    8 -0.686    3    0    0  0.004    0  3.693    0    0    0    0\n3    1.747  9.673   0   2  2.690  23   0  4.645   9.855    0    1  12.353  31.6    0  ...    0    0    2 -4.617    0    0   11  0.000    0  3.993    0    0    0    1\n4    1.824  9.825   0   2  2.700  27   0  4.795   9.894    0    1  12.519  31.8    0  ...    0    0    2 -4.724    0    0   13  0.000    0  4.005    0    0    0    1\n..     ...    ...  ..  ..    ...  ..  ..    ...     ...  ...  ...     ...   ...  ...  ...  ...  ...  ...    ...  ...  ...  ...    ...  ...    ...  ...  ...  ...  ...\n832  1.125  7.878   0   1  2.136   0   0  2.990   0.000    0    0   9.311  43.8    0  ...    0    1    2  0.000    1    0    0  0.045    0  3.573    0    0    0    0\n833  1.187  8.046   1   1  2.222   0   2  3.105   0.000    2    0   9.668  38.9    0  ...    0    2    2  0.000    1    0    0 -0.025    0  3.666    0    2    0    0\n834  0.625  8.901   0   2  2.499   0   0  3.745  24.203    0    0  10.681  58.3    0  ...    0    0    8 -0.128    6    0    0  0.000    0  3.942    0    0    0    0\n835  3.866  8.778   0   6  2.361   0   0  4.201  11.747    0    1  10.735  32.4    0  ...    0    0    9 -0.347    1    0    0  0.000    0  3.497    0    0    0    0\n836  3.706  8.680   0   6  2.361   0   0  4.127  11.724    0    1  10.694  31.4    0  ...    0    0    9 -0.338    1    0    0  0.000    0  3.497    0    0    0    0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/8894361a7047a3e3562db9bbd1f6433a/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/8894361a7047a3e3562db9bbd1f6433a/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/88c703139ed3783451243eec0077f1ff/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/88c703139ed3783451243eec0077f1ff/metadata.json
@ -0,0 +1 @@
+{"duration": 37.4740149974823, "input_args": {"Data": "        F1     F2  F3  F4     F5    F6_l1p  F7     F8_l2      F9  F10  F11     F12  ...  F30    F31  F32  F33  F34    F35  F36   F37_l10  F38  F39  F40  F41\n0    1.185  9.085   0   0  2.263  1.386294   0  1.864731   0.000    0    1   9.902  ...    0  0.000    1    0    0  0.014    0  0.607884    0    0    0    0\n1    0.000  8.179   2   0  2.194  0.000000   6  1.818032   0.000    6    0  10.054  ...    0  0.000    2    0    0  0.000    0  0.542701    0    4    0    0\n2    0.762  8.297   0   3  2.424  0.000000   0  1.739416  21.884    0    0  10.226  ...    8 -0.686    3    0    0  0.004    0  0.567379    0    0    0    0\n3    1.747  9.673   0   2  2.690  3.178054   0  2.215679   9.855    0    1  12.353  ...    2 -4.617    0    0   11  0.000    0  0.601299    0    0    0    1\n4    1.824  9.825   0   2  2.700  3.332205   0  2.261531   9.894    0    1  12.519  ...    2 -4.724    0    0   13  0.000    0  0.602603    0    0    0    1\n..     ...    ...  ..  ..    ...       ...  ..       ...     ...  ...  ...     ...  ...  ...    ...  ...  ...  ...    ...  ...       ...  ...  ...  ...  ...\n832  1.125  7.878   0   1  2.136  0.000000   0  1.580145   0.000    0    0   9.311  ...    2  0.000    1    0    0  0.045    0  0.553033    0    0    0    0\n833  1.187  8.046   1   1  2.222  0.000000   2  1.634593   0.000    2    0   9.668  ...    2  0.000    1    0    0 -0.025    0  0.564192    0    2    0    0\n834  0.625  8.901   0   2  2.499  0.000000   0  1.904966  24.203    0    0  10.681  ...    8 -0.128    6    0    0  0.000    0  0.595717    0    0    0    0\n835  3.866  8.778   0   6  2.361  0.000000   0  2.070733  11.747    0    1  10.735  ...    9 -0.347    1    0    0  0.000    0  0.543696    0    0    0    0\n836  3.706  8.680   0   6  2.361  0.000000   0  2.045093  11.724    0    1  10.694  ...    9 -0.338    1    0    0  0.000    0  0.543696    0    0    0    0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/88fbae4bab966681cad801c198a11b79/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/88fbae4bab966681cad801c198a11b79/metadata.json
@ -0,0 +1 @@
+{"duration": 38.491913080215454, "input_args": {"Data": "        F1     F2  F3  F4     F5_e2  F6  F7    F8_l1p      F9  F10  F11      F12_p2   F13  F14     F15    F16  F17    F18     F19  F20  F21  F22  F23    F24    F25       F26_p4  F27  F28   F29_l1p  F30    F31  F32  F33  F34    F35  F36    F37  F38  F39  F40  F41\n0    1.185  9.085   0   0  4.799886   3   0  1.535145   0.000    0    1   98.049604  46.7    1  3.1934  1.359    0  1.034   1.476    3    3    0    0  1.100  2.483   541.987500    0    0  1.098612    0  0.000    1    0    0  0.014    0  4.054    0    0    0    0\n1    0.000  8.179   2   0  4.575724   0   6  1.509839   0.000    6    0  101.082916  35.1    0  1.8929  1.209    0  0.974   4.130    0    0    0    0  1.139  1.744   433.132851    0    0  0.000000    0  0.000    2    0    0  0.000    0  3.489    0    4    0    0\n2    0.762  8.297   0   3  5.366569   0   0  1.467644  21.884    0    0  104.571076  42.1    0  2.3934  1.204    0  1.027   1.027    0    0    0    2  1.120  2.773   616.048483    0    0  0.000000    8 -0.686    3    0    0  0.004    0  3.693    0    0    0    0\n3    1.747  9.673   0   2  6.453134  23   0  1.730770   9.855    0    1  152.596609  31.6    0  7.7233  0.906    0  1.291   5.094    0    0    0    0  1.348  5.741  1591.360175    1    0  0.000000    2 -4.617    0    0   11  0.000    0  3.993    0    0    0    1\n4    1.824  9.825   0   2  6.498019  27   0  1.756995   9.894    0    1  156.725361  31.8    0  7.9184  0.906    0  1.292   5.891    0    0    0    0  1.350  5.742  1605.516747    1    0  0.000000    2 -4.724    0    0   13  0.000    0  4.005    0    0    0    1\n..     ...    ...  ..  ..       ...  ..  ..       ...     ...  ...  ...         ...   ...  ...     ...    ...  ...    ...     ...  ...  ...  ...  ...    ...    ...          ...  ...  ...       ...  ...    ...  ...  ...  ...    ...  ...    ...  ...  ...  ...  ...\n832  1.125  7.878   0   1  4.395417   0   0  1.383791   0.000    0    0   86.694721  43.8    0  3.0778  1.253    0  0.991   1.481    1    0    0    0  1.117  2.146   409.698121    0    0  0.693147    2  0.000    1    0    0  0.045    0  3.573    0    0    0    0\n833  1.187  8.046   1   1  4.665397   0   2  1.412206   0.000    2    0   93.470224  38.9    0  3.2726  1.230    0  0.998   1.358    2    0    0    0  1.132  2.315   523.361201    2    0  1.098612    2  0.000    1    0    0 -0.025    0  3.666    0    2    0    0\n834  0.625  8.901   0   2  5.652935   0   0  1.557091  24.203    0    0  114.083761  58.3    0  2.3715  1.312    0  1.008   1.262    4    0    0    0  1.087  2.500   795.020055    0    0  0.000000    8 -0.128    6    0    0  0.000    0  3.942    0    0    0    0\n835  3.866  8.778   0   6  5.137263   0   0  1.648851  11.747    0    1  115.240225  32.4    0  1.9452  1.166    0  0.992  10.593    0    0    0    0  1.140  2.300   613.579107    3    0  0.000000    9 -0.347    1    0    0  0.000    0  3.497    0    0    0    0\n836  3.706  8.680   0   6  5.137263   0   0  1.634521  11.724    0    1  114.361636  31.4    0  1.9472  1.153    0  0.993   9.639    0    0    0    0  1.143  2.321   613.579107    3    0  0.000000    9 -0.338    1    0    0  0.000    0  3.497    0    0    0    0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/89fab13156b31d2cf6dd9570330f8375/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/89fab13156b31d2cf6dd9570330f8375/metadata.json
@ -1 +0,0 @@
-{"duration": 8.649935722351074, "input_args": {"Data": "      F1   F2   F3   F4\n0    2.5  3.3  6.3  6.0\n1    1.9  2.7  5.8  5.1\n2    2.1  3.0  7.1  5.9\n3    1.8  2.9  6.3  5.6\n4    2.2  3.0  6.5  5.8\n..   ...  ...  ...  ...\n145  0.3  3.0  4.8  1.4\n146  0.2  3.8  5.1  1.6\n147  0.2  3.2  4.6  1.4\n148  0.2  3.7  5.3  1.5\n149  0.2  3.3  5.0  1.4\n\n[150 rows x 4 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              objective='multi:softprob', probability=True, random_state=42,\n              reg_alpha=0, reg_lambda=1, scale_pos_weight=None, silent=True,\n              subsample=0.9972633684544026, tree_method='exact',\n              use_label_encoder=False, validate_parameters=1, ...)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/89fab13156b31d2cf6dd9570330f8375/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/89fab13156b31d2cf6dd9570330f8375/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/8ad216fec9ad2391d9945cc264fb06fd/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/8ad216fec9ad2391d9945cc264fb06fd/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/8be2b57baaefe88c84ec478dca0ea6a0/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/8be2b57baaefe88c84ec478dca0ea6a0/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/8d350f279752b51fcabe9588ffe0ab3d/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/8d350f279752b51fcabe9588ffe0ab3d/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/8e45819f1848604688aba5256fd282de/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/8e45819f1848604688aba5256fd282de/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/8fdd9e0baf085ecc8cc8cbaf48a2b77a/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/8fdd9e0baf085ecc8cc8cbaf48a2b77a/metadata.json
@ -0,0 +1 @@
+{"duration": 37.43722486495972, "input_args": {"Data": "        F1     F2  F3  F4     F5  F6  F7     F8      F9  F10  F11     F12   F13  F14  ...  F28  F29  F30    F31  F32  F33  F34    F35  F36    F37  F38  F39  F40  F41\n0    1.185  9.085   0   0  2.263   3   0  3.642   0.000    0    1   9.902  46.7    1  ...    0    2    0  0.000    1    0    0  0.014    0  4.054    0    0    0    0\n1    0.000  8.179   2   0  2.194   0   6  3.526   0.000    6    0  10.054  35.1    0  ...    0    0    0  0.000    2    0    0  0.000    0  3.489    0    4    0    0\n2    0.762  8.297   0   3  2.424   0   0  3.339  21.884    0    0  10.226  42.1    0  ...    0    0    8 -0.686    3    0    0  0.004    0  3.693    0    0    0    0\n3    1.747  9.673   0   2  2.690  23   0  4.645   9.855    0    1  12.353  31.6    0  ...    0    0    2 -4.617    0    0   11  0.000    0  3.993    0    0    0    1\n4    1.824  9.825   0   2  2.700  27   0  4.795   9.894    0    1  12.519  31.8    0  ...    0    0    2 -4.724    0    0   13  0.000    0  4.005    0    0    0    1\n..     ...    ...  ..  ..    ...  ..  ..    ...     ...  ...  ...     ...   ...  ...  ...  ...  ...  ...    ...  ...  ...  ...    ...  ...    ...  ...  ...  ...  ...\n832  1.125  7.878   0   1  2.136   0   0  2.990   0.000    0    0   9.311  43.8    0  ...    0    1    2  0.000    1    0    0  0.045    0  3.573    0    0    0    0\n833  1.187  8.046   1   1  2.222   0   2  3.105   0.000    2    0   9.668  38.9    0  ...    0    2    2  0.000    1    0    0 -0.025    0  3.666    0    2    0    0\n834  0.625  8.901   0   2  2.499   0   0  3.745  24.203    0    0  10.681  58.3    0  ...    0    0    8 -0.128    6    0    0  0.000    0  3.942    0    0    0    0\n835  3.866  8.778   0   6  2.361   0   0  4.201  11.747    0    1  10.735  32.4    0  ...    0    0    9 -0.347    1    0    0  0.000    0  3.497    0    0    0    0\n836  3.706  8.680   0   6  2.361   0   0  4.127  11.724    0    1  10.694  31.4    0  ...    0    0    9 -0.338    1    0    0  0.000    0  3.497    0    0    0    0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/918a327121a85ee1502fabcb8cdec070/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/918a327121a85ee1502fabcb8cdec070/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/9542eca72d45a0e534a347c646cab7d0/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/9542eca72d45a0e534a347c646cab7d0/metadata.json
@ -0,0 +1 @@
+{"duration": 30.80260467529297, "input_args": {"Data": "        F1     F2  F3  F4     F5_em1  F6  F7    F8_l1p      F9  F10  F11      F12_p2   F13  F14     F15    F16  F17    F18     F19  F20  F21  F22  F23    F24    F25       F26_p4  F27  F28  F29  F30    F31  F32  F33  F34    F35  F36    F37  F38  F39  F40  F41\n0    1.185  9.085   0   0   8.611882   3   0  1.535145   0.000    0    1   98.049604  46.7    1  3.1934  1.359    0  1.034   1.476    3    3    0    0  1.100  2.483   541.987500    0    0    2    0  0.000    1    0    0  0.014    0  4.054    0    0    0    0\n1    0.000  8.179   2   0   7.971026   0   6  1.509839   0.000    6    0  101.082916  35.1    0  1.8929  1.209    0  0.974   4.130    0    0    0    0  1.139  1.744   433.132851    0    0    0    0  0.000    2    0    0  0.000    0  3.489    0    4    0    0\n2    0.762  8.297   0   3  10.290933   0   0  1.467644  21.884    0    0  104.571076  42.1    0  2.3934  1.204    0  1.027   1.027    0    0    0    2  1.120  2.773   616.048483    0    0    0    8 -0.686    3    0    0  0.004    0  3.693    0    0    0    0\n3    1.747  9.673   0   2  13.731676  23   0  1.730770   9.855    0    1  152.596609  31.6    0  7.7233  0.906    0  1.291   5.094    0    0    0    0  1.348  5.741  1591.360175    1    0    0    2 -4.617    0    0   11  0.000    0  3.993    0    0    0    1\n4    1.824  9.825   0   2  13.879732  27   0  1.756995   9.894    0    1  156.725361  31.8    0  7.9184  0.906    0  1.292   5.891    0    0    0    0  1.350  5.742  1605.516747    1    0    0    2 -4.724    0    0   13  0.000    0  4.005    0    0    0    1\n..     ...    ...  ..  ..        ...  ..  ..       ...     ...  ...  ...         ...   ...  ...     ...    ...  ...    ...     ...  ...  ...  ...  ...    ...    ...          ...  ...  ...  ...  ...    ...  ...  ...  ...    ...  ...    ...  ...  ...  ...  ...\n832  1.125  7.878   0   1   7.465508   0   0  1.383791   0.000    0    0   86.694721  43.8    0  3.0778  1.253    0  0.991   1.481    1    0    0    0  1.117  2.146   409.698121    0    0    1    2  0.000    1    0    0  0.045    0  3.573    0    0    0    0\n833  1.187  8.046   1   1   8.225764   0   2  1.412206   0.000    2    0   93.470224  38.9    0  3.2726  1.230    0  0.998   1.358    2    0    0    0  1.132  2.315   523.361201    2    0    2    2  0.000    1    0    0 -0.025    0  3.666    0    2    0    0\n834  0.625  8.901   0   2  11.170318   0   0  1.557091  24.203    0    0  114.083761  58.3    0  2.3715  1.312    0  1.008   1.262    4    0    0    0  1.087  2.500   795.020055    0    0    0    8 -0.128    6    0    0  0.000    0  3.942    0    0    0    0\n835  3.866  8.778   0   6   9.601548   0   0  1.648851  11.747    0    1  115.240225  32.4    0  1.9452  1.166    0  0.992  10.593    0    0    0    0  1.140  2.300   613.579107    3    0    0    9 -0.347    1    0    0  0.000    0  3.497    0    0    0    0\n836  3.706  8.680   0   6   9.601548   0   0  1.634521  11.724    0    1  114.361636  31.4    0  1.9472  1.153    0  0.993   9.639    0    0    0    0  1.143  2.321   613.579107    3    0    0    9 -0.338    1    0    0  0.000    0  3.497    0    0    0    0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/9818da1e86d86943193ed95685c94b84/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/9818da1e86d86943193ed95685c94b84/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/99a2ef44d6ed0bf80fcac97f871cae22/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/99a2ef44d6ed0bf80fcac97f871cae22/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/9bb8074ec6b631e352538287bdfa0b0a/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/9bb8074ec6b631e352538287bdfa0b0a/metadata.json
@ -1 +0,0 @@
-{"duration": 35.47087597846985, "input_args": {"Data": "         F1_l2     F2       F3   F4     F5  F6_b   F7    F8    F9_l10   F10   F11  F1_l2xF6_b\n0    -0.621488  0.065  0.99460  7.3   21.0     1  1.2  3.39 -0.327902  15.0  10.0   -0.621488\n1    -0.785875  0.073  0.99680  7.8   18.0     1  2.0  3.36 -0.244125   9.0   9.5   -0.785875\n2    -1.836501  0.092  0.99690  8.5  103.0    11  1.8  3.30 -0.124939  35.0  10.5  -20.201514\n3    -1.395929  0.066  0.99680  8.1   30.0     6  2.1  3.23 -0.136677  13.0   9.7   -8.375572\n4    -0.943416  0.085  0.99680  7.5   35.0     3  1.9  3.38 -0.207608  12.0   9.5   -2.830249\n...        ...    ...      ...  ...    ...   ...  ...   ...       ...   ...   ...         ...\n1594 -0.736966  0.090  0.99490  6.2   44.0     2  2.0  3.45 -0.236572  32.0  10.5   -1.473931\n1595 -0.862496  0.062  0.99512  5.9   51.0     2  2.2  3.52 -0.119186  39.0  11.2   -1.724993\n1596 -0.971431  0.076  0.99574  6.3   40.0     3  2.3  3.42 -0.124939  29.0  11.0   -2.914293\n1597 -0.632629  0.075  0.99547  5.9   44.0     3  2.0  3.57 -0.148742  32.0  10.2   -1.897887\n1598 -1.689660  0.067  0.99549  6.0   42.0     9  3.6  3.39 -0.180456  18.0  11.0  -15.206939\n\n[1599 rows x 12 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.9223705789444759,\n              eta=0.08487346516301046, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.0848734677, max_delta_step=0, max_depth=7,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=76, n_jobs=12, num_parallel_tree=1,\n              objective='multi:softprob', probability=True, random_state=42,\n              reg_alpha=0, reg_lambda=1, scale_pos_weight=None, silent=True,\n              subsample=0.8912139968434072, tree_method='exact',\n              use_label_encoder=False, validate_parameters=1, ...)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/9beda7f5ef0ad90c3703144998e1712b/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/9beda7f5ef0ad90c3703144998e1712b/metadata.json
@ -0,0 +1 @@
+{"duration": 46.56988334655762, "input_args": {"Data": "        F1     F2  F3  F4     F5  F6  F7    F8_l1p      F9  F10  F11       F12_p3   F13  F14     F15    F16  F17    F18     F19  F20  F21  F22  F23    F24    F25       F26_p4  F27  F28  F29  F30    F31  F32  F33  F34    F35  F36    F37  F38  F39  F40  F41\n0    1.185  9.085   0   0  2.263   3   0  1.535145   0.000    0    1   970.887179  46.7    1  3.1934  1.359    0  1.034   1.476    3    3    0    0  1.100  2.483   541.987500    0    0    2    0  0.000    1    0    0  0.014    0  4.054    0    0    0    0\n1    0.000  8.179   2   0  2.194   0   6  1.509839   0.000    6    0  1016.287637  35.1    0  1.8929  1.209    0  0.974   4.130    0    0    0    0  1.139  1.744   433.132851    0    0    0    0  0.000    2    0    0  0.000    0  3.489    0    4    0    0\n2    0.762  8.297   0   3  2.424   0   0  1.467644  21.884    0    0  1069.343823  42.1    0  2.3934  1.204    0  1.027   1.027    0    0    0    2  1.120  2.773   616.048483    0    0    0    8 -0.686    3    0    0  0.004    0  3.693    0    0    0    0\n3    1.747  9.673   0   2  2.690  23   0  1.730770   9.855    0    1  1885.025911  31.6    0  7.7233  0.906    0  1.291   5.094    0    0    0    0  1.348  5.741  1591.360175    1    0    0    2 -4.617    0    0   11  0.000    0  3.993    0    0    0    1\n4    1.824  9.825   0   2  2.700  27   0  1.756995   9.894    0    1  1962.044794  31.8    0  7.9184  0.906    0  1.292   5.891    0    0    0    0  1.350  5.742  1605.516747    1    0    0    2 -4.724    0    0   13  0.000    0  4.005    0    0    0    1\n..     ...    ...  ..  ..    ...  ..  ..       ...     ...  ...  ...          ...   ...  ...     ...    ...  ...    ...     ...  ...  ...  ...  ...    ...    ...          ...  ...  ...  ...  ...    ...  ...  ...  ...    ...  ...    ...  ...  ...  ...  ...\n832  1.125  7.878   0   1  2.136   0   0  1.383791   0.000    0    0   807.214547  43.8    0  3.0778  1.253    0  0.991   1.481    1    0    0    0  1.117  2.146   409.698121    0    0    1    2  0.000    1    0    0  0.045    0  3.573    0    0    0    0\n833  1.187  8.046   1   1  2.222   0   2  1.412206   0.000    2    0   903.670126  38.9    0  3.2726  1.230    0  0.998   1.358    2    0    0    0  1.132  2.315   523.361201    2    0    2    2  0.000    1    0    0 -0.025    0  3.666    0    2    0    0\n834  0.625  8.901   0   2  2.499   0   0  1.557091  24.203    0    0  1218.528651  58.3    0  2.3715  1.312    0  1.008   1.262    4    0    0    0  1.087  2.500   795.020055    0    0    0    8 -0.128    6    0    0  0.000    0  3.942    0    0    0    0\n835  3.866  8.778   0   6  2.361   0   0  1.648851  11.747    0    1  1237.103815  32.4    0  1.9452  1.166    0  0.992  10.593    0    0    0    0  1.140  2.300   613.579107    3    0    0    9 -0.347    1    0    0  0.000    0  3.497    0    0    0    0\n836  3.706  8.680   0   6  2.361   0   0  1.634521  11.724    0    1  1222.983335  31.4    0  1.9472  1.153    0  0.993   9.639    0    0    0    0  1.143  2.321   613.579107    3    0    0    9 -0.338    1    0    0  0.000    0  3.497    0    0    0    0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/9faa7354574f71cf9a41c1b450ab6d43/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/9faa7354574f71cf9a41c1b450ab6d43/metadata.json
@ -0,0 +1 @@
+{"duration": 41.09364414215088, "input_args": {"Data": "        F1     F2    F3_l1p  F4     F5    F6_l1p  F7     F8_l2      F9  F10  F11     F12   F13  F14     F15    F16  F17    F18     F19    F20_l2  ...  F22  F23    F24    F25       F26_p4  F27  F28  F29  F30    F31   F32_l1p  F33  F34    F35  F36    F37  F38  F39  F40  F41\n0    1.185  9.085  0.000000   0  2.263  1.386294   0  1.864731   0.000    0    1   9.902  46.7    1  3.1934  1.359    0  1.034   1.476  1.584963  ...    0    0  1.100  2.483   541.987500    0    0    2    0  0.000  0.693147    0    0  0.014    0  4.054    0    0    0    0\n1    0.000  8.179  1.098612   0  2.194  0.000000   6  1.818032   0.000    6    0  10.054  35.1    0  1.8929  1.209    0  0.974   4.130  0.000000  ...    0    0  1.139  1.744   433.132851    0    0    0    0  0.000  1.098612    0    0  0.000    0  3.489    0    4    0    0\n2    0.762  8.297  0.000000   3  2.424  0.000000   0  1.739416  21.884    0    0  10.226  42.1    0  2.3934  1.204    0  1.027   1.027  0.000000  ...    0    2  1.120  2.773   616.048483    0    0    0    8 -0.686  1.386294    0    0  0.004    0  3.693    0    0    0    0\n3    1.747  9.673  0.000000   2  2.690  3.178054   0  2.215679   9.855    0    1  12.353  31.6    0  7.7233  0.906    0  1.291   5.094  0.000000  ...    0    0  1.348  5.741  1591.360175    1    0    0    2 -4.617  0.000000    0   11  0.000    0  3.993    0    0    0    1\n4    1.824  9.825  0.000000   2  2.700  3.332205   0  2.261531   9.894    0    1  12.519  31.8    0  7.9184  0.906    0  1.292   5.891  0.000000  ...    0    0  1.350  5.742  1605.516747    1    0    0    2 -4.724  0.000000    0   13  0.000    0  4.005    0    0    0    1\n..     ...    ...       ...  ..    ...       ...  ..       ...     ...  ...  ...     ...   ...  ...     ...    ...  ...    ...     ...       ...  ...  ...  ...    ...    ...          ...  ...  ...  ...  ...    ...       ...  ...  ...    ...  ...    ...  ...  ...  ...  ...\n832  1.125  7.878  0.000000   1  2.136  0.000000   0  1.580145   0.000    0    0   9.311  43.8    0  3.0778  1.253    0  0.991   1.481  0.000000  ...    0    0  1.117  2.146   409.698121    0    0    1    2  0.000  0.693147    0    0  0.045    0  3.573    0    0    0    0\n833  1.187  8.046  0.693147   1  2.222  0.000000   2  1.634593   0.000    2    0   9.668  38.9    0  3.2726  1.230    0  0.998   1.358  1.000000  ...    0    0  1.132  2.315   523.361201    2    0    2    2  0.000  0.693147    0    0 -0.025    0  3.666    0    2    0    0\n834  0.625  8.901  0.000000   2  2.499  0.000000   0  1.904966  24.203    0    0  10.681  58.3    0  2.3715  1.312    0  1.008   1.262  2.000000  ...    0    0  1.087  2.500   795.020055    0    0    0    8 -0.128  1.945910    0    0  0.000    0  3.942    0    0    0    0\n835  3.866  8.778  0.000000   6  2.361  0.000000   0  2.070733  11.747    0    1  10.735  32.4    0  1.9452  1.166    0  0.992  10.593  0.000000  ...    0    0  1.140  2.300   613.579107    3    0    0    9 -0.347  0.693147    0    0  0.000    0  3.497    0    0    0    0\n836  3.706  8.680  0.000000   6  2.361  0.000000   0  2.045093  11.724    0    1  10.694  31.4    0  1.9472  1.153    0  0.993   9.639  0.000000  ...    0    0  1.143  2.321   613.579107    3    0    0    9 -0.338  0.693147    0    0  0.000    0  3.497    0    0    0    0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/a6d10c8e16c56485298823ed0cf48c75/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/a6d10c8e16c56485298823ed0cf48c75/output.pkl
--- a/cachedir/joblib/run/estimatorFeatureSelection/aa888e12434b582daa8216da815a7193/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/aa888e12434b582daa8216da815a7193/metadata.json
@ -0,0 +1 @@
+{"duration": 39.08091402053833, "input_args": {"Data": "        F1     F2  F3  F4     F5_em1  F6  F7     F8      F9  F10  F11     F12   F13  F14     F15    F16  F17    F18     F19  F20  F21  F22  F23    F24    F25    F26  F27  F28  F29  F30    F31  F32  F33  F34    F35  F36    F37  F38  F39  F40  F41\n0    1.185  9.085   0   0   8.611882   3   0  3.642   0.000    0    1   9.902  46.7    1  3.1934  1.359    0  1.034   1.476    3    3    0    0  1.100  2.483  4.825    0    0    2    0  0.000    1    0    0  0.014    0  4.054    0    0    0    0\n1    0.000  8.179   2   0   7.971026   0   6  3.526   0.000    6    0  10.054  35.1    0  1.8929  1.209    0  0.974   4.130    0    0    0    0  1.139  1.744  4.562    0    0    0    0  0.000    2    0    0  0.000    0  3.489    0    4    0    0\n2    0.762  8.297   0   3  10.290933   0   0  3.339  21.884    0    0  10.226  42.1    0  2.3934  1.204    0  1.027   1.027    0    0    0    2  1.120  2.773  4.982    0    0    0    8 -0.686    3    0    0  0.004    0  3.693    0    0    0    0\n3    1.747  9.673   0   2  13.731676  23   0  4.645   9.855    0    1  12.353  31.6    0  7.7233  0.906    0  1.291   5.094    0    0    0    0  1.348  5.741  6.316    1    0    0    2 -4.617    0    0   11  0.000    0  3.993    0    0    0    1\n4    1.824  9.825   0   2  13.879732  27   0  4.795   9.894    0    1  12.519  31.8    0  7.9184  0.906    0  1.292   5.891    0    0    0    0  1.350  5.742  6.330    1    0    0    2 -4.724    0    0   13  0.000    0  4.005    0    0    0    1\n..     ...    ...  ..  ..        ...  ..  ..    ...     ...  ...  ...     ...   ...  ...     ...    ...  ...    ...     ...  ...  ...  ...  ...    ...    ...    ...  ...  ...  ...  ...    ...  ...  ...  ...    ...  ...    ...  ...  ...  ...  ...\n832  1.125  7.878   0   1   7.465508   0   0  2.990   0.000    0    0   9.311  43.8    0  3.0778  1.253    0  0.991   1.481    1    0    0    0  1.117  2.146  4.499    0    0    1    2  0.000    1    0    0  0.045    0  3.573    0    0    0    0\n833  1.187  8.046   1   1   8.225764   0   2  3.105   0.000    2    0   9.668  38.9    0  3.2726  1.230    0  0.998   1.358    2    0    0    0  1.132  2.315  4.783    2    0    2    2  0.000    1    0    0 -0.025    0  3.666    0    2    0    0\n834  0.625  8.901   0   2  11.170318   0   0  3.745  24.203    0    0  10.681  58.3    0  2.3715  1.312    0  1.008   1.262    4    0    0    0  1.087  2.500  5.310    0    0    0    8 -0.128    6    0    0  0.000    0  3.942    0    0    0    0\n835  3.866  8.778   0   6   9.601548   0   0  4.201  11.747    0    1  10.735  32.4    0  1.9452  1.166    0  0.992  10.593    0    0    0    0  1.140  2.300  4.977    3    0    0    9 -0.347    1    0    0  0.000    0  3.497    0    0    0    0\n836  3.706  8.680   0   6   9.601548   0   0  4.127  11.724    0    1  10.694  31.4    0  1.9472  1.153    0  0.993   9.639    0    0    0    0  1.143  2.321  4.977    3    0    0    9 -0.338    1    0    0  0.000    0  3.497    0    0    0    0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.8702434039276976,\n              eta=0.2593099998788648, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=188, n_jobs=12, num_parallel_tree=1,\n              probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n              scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n              tree_method='exact', use_label_encoder=False,\n              validate_parameters=1, verbosity=0)"}}
--- a/cachedir/joblib/run/estimatorFeatureSelection/aba65e314193f69c27783462e6869e73/output.pkl
+++ b/cachedir/joblib/run/estimatorFeatureSelection/aba65e314193f69c27783462e6869e73/output.pkl
--- a/Show More
+++ b/Show More
				`@ -0,0 +1 @@`
				{"duration": 14.059135913848877, "input_args": {"Data": " F7 F10 F7+F10 \|F7-F10\| F7xF10 F7/F10 F10/F7\n0 0 0 0 0 0 0.0 0.0\n1 6 6 12 0 36 1.0 1.0\n2 0 0 0 0 0 0.0 0.0\n3 0 0 0 0 0 0.0 0.0\n4 0 0 0 0 0 0.0 0.0\n.. .. ... ... ... ... ... ...\n832 0 0 0 0 0 0.0 0.0\n833 2 2 4 0 4 1.0 1.0\n834 0 0 0 0 0 0.0 0.0\n835 0 0 0 0 0 0.0 0.0\n836 0 0 0 0 0 0.0 0.0\n\n[837 rows x 7 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n colsample_bynode=1, colsample_bytree=0.8702434039276976,\n eta=0.2593099998788648, gamma=0, gpu_id=-1,\n importance_type='gain', interaction_constraints='',\n learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n min_child_weight=1, missing=nan, monotone_constraints='()',\n n_estimators=188, n_jobs=12, num_parallel_tree=1,\n probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n tree_method='exact', use_label_encoder=False,\n validate_parameters=1, verbosity=0)"}}
				`@ -0,0 +1 @@`
				{"duration": 39.00056982040405, "input_args": {"Data": " F1 F2 F3 F4 F5 F6 F7 F8 F9 F10 F11 F12 F13 F14 F15 F16 F17 F18 F19 F20 F21 F22 F23 F24 F25 F26_p4 F27 F28 F29 F30 F31 F32 F33 F34 F35 F36 F37 F38 F39 F40 F41\n0 1.185 9.085 0 0 2.263 3 0 3.642 0.000 0 1 9.902 46.7 1 3.1934 1.359 0 1.034 1.476 3 3 0 0 1.100 2.483 541.987500 0 0 2 0 0.000 1 0 0 0.014 0 4.054 0 0 0 0\n1 0.000 8.179 2 0 2.194 0 6 3.526 0.000 6 0 10.054 35.1 0 1.8929 1.209 0 0.974 4.130 0 0 0 0 1.139 1.744 433.132851 0 0 0 0 0.000 2 0 0 0.000 0 3.489 0 4 0 0\n2 0.762 8.297 0 3 2.424 0 0 3.339 21.884 0 0 10.226 42.1 0 2.3934 1.204 0 1.027 1.027 0 0 0 2 1.120 2.773 616.048483 0 0 0 8 -0.686 3 0 0 0.004 0 3.693 0 0 0 0\n3 1.747 9.673 0 2 2.690 23 0 4.645 9.855 0 1 12.353 31.6 0 7.7233 0.906 0 1.291 5.094 0 0 0 0 1.348 5.741 1591.360175 1 0 0 2 -4.617 0 0 11 0.000 0 3.993 0 0 0 1\n4 1.824 9.825 0 2 2.700 27 0 4.795 9.894 0 1 12.519 31.8 0 7.9184 0.906 0 1.292 5.891 0 0 0 0 1.350 5.742 1605.516747 1 0 0 2 -4.724 0 0 13 0.000 0 4.005 0 0 0 1\n.. ... ... .. .. ... .. .. ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n832 1.125 7.878 0 1 2.136 0 0 2.990 0.000 0 0 9.311 43.8 0 3.0778 1.253 0 0.991 1.481 1 0 0 0 1.117 2.146 409.698121 0 0 1 2 0.000 1 0 0 0.045 0 3.573 0 0 0 0\n833 1.187 8.046 1 1 2.222 0 2 3.105 0.000 2 0 9.668 38.9 0 3.2726 1.230 0 0.998 1.358 2 0 0 0 1.132 2.315 523.361201 2 0 2 2 0.000 1 0 0 -0.025 0 3.666 0 2 0 0\n834 0.625 8.901 0 2 2.499 0 0 3.745 24.203 0 0 10.681 58.3 0 2.3715 1.312 0 1.008 1.262 4 0 0 0 1.087 2.500 795.020055 0 0 0 8 -0.128 6 0 0 0.000 0 3.942 0 0 0 0\n835 3.866 8.778 0 6 2.361 0 0 4.201 11.747 0 1 10.735 32.4 0 1.9452 1.166 0 0.992 10.593 0 0 0 0 1.140 2.300 613.579107 3 0 0 9 -0.347 1 0 0 0.000 0 3.497 0 0 0 0\n836 3.706 8.680 0 6 2.361 0 0 4.127 11.724 0 1 10.694 31.4 0 1.9472 1.153 0 0.993 9.639 0 0 0 0 1.143 2.321 613.579107 3 0 0 9 -0.338 1 0 0 0.000 0 3.497 0 0 0 0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n colsample_bynode=1, colsample_bytree=0.8702434039276976,\n eta=0.2593099998788648, gamma=0, gpu_id=-1,\n importance_type='gain', interaction_constraints='',\n learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n min_child_weight=1, missing=nan, monotone_constraints='()',\n n_estimators=188, n_jobs=12, num_parallel_tree=1,\n probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n tree_method='exact', use_label_encoder=False,\n validate_parameters=1, verbosity=0)"}}
				`@ -0,0 +1 @@`
				{"duration": 37.06569814682007, "input_args": {"Data": " F1 F2 F3 F4 F5_em1 F6 F7 F8_l1p F9 F10 F11 F12 F13 F14 F15 F16 F17 F18 F19 F20 F21 F22 F23 F24 F25 F26_p4 F27 F28 F29 F30 F31 F32 F33 F34 F35 F36 F37 F38 F39 F40 F41\n0 1.185 9.085 0 0 8.611882 3 0 1.535145 0.000 0 1 9.902 46.7 1 3.1934 1.359 0 1.034 1.476 3 3 0 0 1.100 2.483 541.987500 0 0 2 0 0.000 1 0 0 0.014 0 4.054 0 0 0 0\n1 0.000 8.179 2 0 7.971026 0 6 1.509839 0.000 6 0 10.054 35.1 0 1.8929 1.209 0 0.974 4.130 0 0 0 0 1.139 1.744 433.132851 0 0 0 0 0.000 2 0 0 0.000 0 3.489 0 4 0 0\n2 0.762 8.297 0 3 10.290933 0 0 1.467644 21.884 0 0 10.226 42.1 0 2.3934 1.204 0 1.027 1.027 0 0 0 2 1.120 2.773 616.048483 0 0 0 8 -0.686 3 0 0 0.004 0 3.693 0 0 0 0\n3 1.747 9.673 0 2 13.731676 23 0 1.730770 9.855 0 1 12.353 31.6 0 7.7233 0.906 0 1.291 5.094 0 0 0 0 1.348 5.741 1591.360175 1 0 0 2 -4.617 0 0 11 0.000 0 3.993 0 0 0 1\n4 1.824 9.825 0 2 13.879732 27 0 1.756995 9.894 0 1 12.519 31.8 0 7.9184 0.906 0 1.292 5.891 0 0 0 0 1.350 5.742 1605.516747 1 0 0 2 -4.724 0 0 13 0.000 0 4.005 0 0 0 1\n.. ... ... .. .. ... .. .. ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n832 1.125 7.878 0 1 7.465508 0 0 1.383791 0.000 0 0 9.311 43.8 0 3.0778 1.253 0 0.991 1.481 1 0 0 0 1.117 2.146 409.698121 0 0 1 2 0.000 1 0 0 0.045 0 3.573 0 0 0 0\n833 1.187 8.046 1 1 8.225764 0 2 1.412206 0.000 2 0 9.668 38.9 0 3.2726 1.230 0 0.998 1.358 2 0 0 0 1.132 2.315 523.361201 2 0 2 2 0.000 1 0 0 -0.025 0 3.666 0 2 0 0\n834 0.625 8.901 0 2 11.170318 0 0 1.557091 24.203 0 0 10.681 58.3 0 2.3715 1.312 0 1.008 1.262 4 0 0 0 1.087 2.500 795.020055 0 0 0 8 -0.128 6 0 0 0.000 0 3.942 0 0 0 0\n835 3.866 8.778 0 6 9.601548 0 0 1.648851 11.747 0 1 10.735 32.4 0 1.9452 1.166 0 0.992 10.593 0 0 0 0 1.140 2.300 613.579107 3 0 0 9 -0.347 1 0 0 0.000 0 3.497 0 0 0 0\n836 3.706 8.680 0 6 9.601548 0 0 1.634521 11.724 0 1 10.694 31.4 0 1.9472 1.153 0 0.993 9.639 0 0 0 0 1.143 2.321 613.579107 3 0 0 9 -0.338 1 0 0 0.000 0 3.497 0 0 0 0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n colsample_bynode=1, colsample_bytree=0.8702434039276976,\n eta=0.2593099998788648, gamma=0, gpu_id=-1,\n importance_type='gain', interaction_constraints='',\n learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n min_child_weight=1, missing=nan, monotone_constraints='()',\n n_estimators=188, n_jobs=12, num_parallel_tree=1,\n probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n tree_method='exact', use_label_encoder=False,\n validate_parameters=1, verbosity=0)"}}
				`@ -0,0 +1 @@`
				{"duration": 46.452970027923584, "input_args": {"Data": " F1 F2 F3 F4 F5_em1 F6 F7 F8_l1p F9 F10 F11 F12_p3 F13 F14 F15 F16 F17 F18 F19 F20 F21 F22 F23 F24 F25 F26_p4 F27 F28 F29 F30 F31 F32 F33 F34 F35 F36 F37 F38 F39 F40 F41\n0 1.185 9.085 0 0 8.611882 3 0 1.535145 0.000 0 1 970.887179 46.7 1 3.1934 1.359 0 1.034 1.476 3 3 0 0 1.100 2.483 541.987500 0 0 2 0 0.000 1 0 0 0.014 0 4.054 0 0 0 0\n1 0.000 8.179 2 0 7.971026 0 6 1.509839 0.000 6 0 1016.287637 35.1 0 1.8929 1.209 0 0.974 4.130 0 0 0 0 1.139 1.744 433.132851 0 0 0 0 0.000 2 0 0 0.000 0 3.489 0 4 0 0\n2 0.762 8.297 0 3 10.290933 0 0 1.467644 21.884 0 0 1069.343823 42.1 0 2.3934 1.204 0 1.027 1.027 0 0 0 2 1.120 2.773 616.048483 0 0 0 8 -0.686 3 0 0 0.004 0 3.693 0 0 0 0\n3 1.747 9.673 0 2 13.731676 23 0 1.730770 9.855 0 1 1885.025911 31.6 0 7.7233 0.906 0 1.291 5.094 0 0 0 0 1.348 5.741 1591.360175 1 0 0 2 -4.617 0 0 11 0.000 0 3.993 0 0 0 1\n4 1.824 9.825 0 2 13.879732 27 0 1.756995 9.894 0 1 1962.044794 31.8 0 7.9184 0.906 0 1.292 5.891 0 0 0 0 1.350 5.742 1605.516747 1 0 0 2 -4.724 0 0 13 0.000 0 4.005 0 0 0 1\n.. ... ... .. .. ... .. .. ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n832 1.125 7.878 0 1 7.465508 0 0 1.383791 0.000 0 0 807.214547 43.8 0 3.0778 1.253 0 0.991 1.481 1 0 0 0 1.117 2.146 409.698121 0 0 1 2 0.000 1 0 0 0.045 0 3.573 0 0 0 0\n833 1.187 8.046 1 1 8.225764 0 2 1.412206 0.000 2 0 903.670126 38.9 0 3.2726 1.230 0 0.998 1.358 2 0 0 0 1.132 2.315 523.361201 2 0 2 2 0.000 1 0 0 -0.025 0 3.666 0 2 0 0\n834 0.625 8.901 0 2 11.170318 0 0 1.557091 24.203 0 0 1218.528651 58.3 0 2.3715 1.312 0 1.008 1.262 4 0 0 0 1.087 2.500 795.020055 0 0 0 8 -0.128 6 0 0 0.000 0 3.942 0 0 0 0\n835 3.866 8.778 0 6 9.601548 0 0 1.648851 11.747 0 1 1237.103815 32.4 0 1.9452 1.166 0 0.992 10.593 0 0 0 0 1.140 2.300 613.579107 3 0 0 9 -0.347 1 0 0 0.000 0 3.497 0 0 0 0\n836 3.706 8.680 0 6 9.601548 0 0 1.634521 11.724 0 1 1222.983335 31.4 0 1.9472 1.153 0 0.993 9.639 0 0 0 0 1.143 2.321 613.579107 3 0 0 9 -0.338 1 0 0 0.000 0 3.497 0 0 0 0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n colsample_bynode=1, colsample_bytree=0.8702434039276976,\n eta=0.2593099998788648, gamma=0, gpu_id=-1,\n importance_type='gain', interaction_constraints='',\n learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n min_child_weight=1, missing=nan, monotone_constraints='()',\n n_estimators=188, n_jobs=12, num_parallel_tree=1,\n probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n tree_method='exact', use_label_encoder=False,\n validate_parameters=1, verbosity=0)"}}
				`@ -0,0 +1 @@`
				{"duration": 39.2252459526062, "input_args": {"Data": " F1 F2 F3 F4 F5 F6 F7 F8_l2 F9 F10 F11 F12 F13 ... F29 F30 F31 F32 F33 F34 F35 F36 F37 F38 F39 F40 F41\n0 1.185 9.085 0 0 2.263 3 0 1.864731 0.000 0 1 9.902 46.7 ... 2 0 0.000 1 0 0 0.014 0 4.054 0 0 0 0\n1 0.000 8.179 2 0 2.194 0 6 1.818032 0.000 6 0 10.054 35.1 ... 0 0 0.000 2 0 0 0.000 0 3.489 0 4 0 0\n2 0.762 8.297 0 3 2.424 0 0 1.739416 21.884 0 0 10.226 42.1 ... 0 8 -0.686 3 0 0 0.004 0 3.693 0 0 0 0\n3 1.747 9.673 0 2 2.690 23 0 2.215679 9.855 0 1 12.353 31.6 ... 0 2 -4.617 0 0 11 0.000 0 3.993 0 0 0 1\n4 1.824 9.825 0 2 2.700 27 0 2.261531 9.894 0 1 12.519 31.8 ... 0 2 -4.724 0 0 13 0.000 0 4.005 0 0 0 1\n.. ... ... .. .. ... .. .. ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n832 1.125 7.878 0 1 2.136 0 0 1.580145 0.000 0 0 9.311 43.8 ... 1 2 0.000 1 0 0 0.045 0 3.573 0 0 0 0\n833 1.187 8.046 1 1 2.222 0 2 1.634593 0.000 2 0 9.668 38.9 ... 2 2 0.000 1 0 0 -0.025 0 3.666 0 2 0 0\n834 0.625 8.901 0 2 2.499 0 0 1.904966 24.203 0 0 10.681 58.3 ... 0 8 -0.128 6 0 0 0.000 0 3.942 0 0 0 0\n835 3.866 8.778 0 6 2.361 0 0 2.070733 11.747 0 1 10.735 32.4 ... 0 9 -0.347 1 0 0 0.000 0 3.497 0 0 0 0\n836 3.706 8.680 0 6 2.361 0 0 2.045093 11.724 0 1 10.694 31.4 ... 0 9 -0.338 1 0 0 0.000 0 3.497 0 0 0 0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n colsample_bynode=1, colsample_bytree=0.8702434039276976,\n eta=0.2593099998788648, gamma=0, gpu_id=-1,\n importance_type='gain', interaction_constraints='',\n learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n min_child_weight=1, missing=nan, monotone_constraints='()',\n n_estimators=188, n_jobs=12, num_parallel_tree=1,\n probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n tree_method='exact', use_label_encoder=False,\n validate_parameters=1, verbosity=0)"}}
				`@ -0,0 +1 @@`
				{"duration": 16.30320119857788, "input_args": {"Data": " F8_l2 F12 F8_l2+F12 \|F8_l2-F12\| F8_l2xF12 F8_l2/F12 F12/F8_l2\n0 1.864731 9.902 11.766731 8.037269 18.464566 0.188319 5.310150\n1 1.818032 10.054 11.872032 8.235968 18.278499 0.180827 5.530154\n2 1.739416 10.226 11.965416 8.486584 17.787269 0.170097 5.878984\n3 2.215679 12.353 14.568679 10.137321 27.370278 0.179364 5.575267\n4 2.261531 12.519 14.780531 10.257469 28.312104 0.180648 5.535631\n.. ... ... ... ... ... ... ...\n832 1.580145 9.311 10.891145 7.730855 14.712735 0.169707 5.892495\n833 1.634593 9.668 11.302593 8.033407 15.803248 0.169073 5.914621\n834 1.904966 10.681 12.585966 8.776034 20.346939 0.178351 5.606925\n835 2.070733 10.735 12.805733 8.664267 22.229316 0.192895 5.184155\n836 2.045093 10.694 12.739093 8.648907 21.870229 0.191237 5.229101\n\n[837 rows x 7 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n colsample_bynode=1, colsample_bytree=0.8702434039276976,\n eta=0.2593099998788648, gamma=0, gpu_id=-1,\n importance_type='gain', interaction_constraints='',\n learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n min_child_weight=1, missing=nan, monotone_constraints='()',\n n_estimators=188, n_jobs=12, num_parallel_tree=1,\n probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n tree_method='exact', use_label_encoder=False,\n validate_parameters=1, verbosity=0)"}}
				`@ -0,0 +1 @@`
				{"duration": 14.528310060501099, "input_args": {"Data": " F2 F8_l2 F2+F8_l2 \|F2-F8_l2\| F2xF8_l2 F2/F8_l2 F8_l2/F2\n0 9.085 1.864731 10.949731 7.220269 16.941080 4.872017 0.205254\n1 8.179 1.818032 9.997032 6.360968 14.869688 4.498820 0.222281\n2 8.297 1.739416 10.036416 6.557584 14.431935 4.769992 0.209644\n3 9.673 2.215679 11.888679 7.457321 21.432259 4.365705 0.229058\n4 9.825 2.261531 12.086531 7.563469 22.219540 4.344402 0.230181\n.. ... ... ... ... ... ... ...\n832 7.878 1.580145 9.458145 6.297855 12.448386 4.985617 0.200577\n833 8.046 1.634593 9.680593 6.411407 13.151937 4.922325 0.203156\n834 8.901 1.904966 10.805966 6.996034 16.956100 4.672525 0.214017\n835 8.778 2.070733 10.848733 6.707267 18.176892 4.239079 0.235900\n836 8.680 2.045093 10.725093 6.634907 17.751411 4.244305 0.235610\n\n[837 rows x 7 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n colsample_bynode=1, colsample_bytree=0.8702434039276976,\n eta=0.2593099998788648, gamma=0, gpu_id=-1,\n importance_type='gain', interaction_constraints='',\n learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n min_child_weight=1, missing=nan, monotone_constraints='()',\n n_estimators=188, n_jobs=12, num_parallel_tree=1,\n probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n tree_method='exact', use_label_encoder=False,\n validate_parameters=1, verbosity=0)"}}
				`@ -1 +0,0 @@`
				{"duration": 10.279210090637207, "input_args": {"Data": " F1_l2 F2 F3 F4 F1_l2+F4\n0 1.321928 3.3 6.3 6.0 7.321928\n1 0.925999 2.7 5.8 5.1 6.025999\n2 1.070389 3.0 7.1 5.9 6.970389\n3 0.847997 2.9 6.3 5.6 6.447997\n4 1.137504 3.0 6.5 5.8 6.937504\n.. ... ... ... ... ...\n145 -1.736966 3.0 4.8 1.4 -0.336966\n146 -2.321928 3.8 5.1 1.6 -0.721928\n147 -2.321928 3.2 4.6 1.4 -0.921928\n148 -2.321928 3.7 5.3 1.5 -0.821928\n149 -2.321928 3.3 5.0 1.4 -0.921928\n\n[150 rows x 5 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n colsample_bynode=1, colsample_bytree=0.8702434039276976,\n eta=0.2593099998788648, gamma=0, gpu_id=-1,\n importance_type='gain', interaction_constraints='',\n learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n min_child_weight=1, missing=nan, monotone_constraints='()',\n n_estimators=188, n_jobs=12, num_parallel_tree=1,\n objective='multi:softprob', probability=True, random_state=42,\n reg_alpha=0, reg_lambda=1, scale_pos_weight=None, silent=True,\n subsample=0.9972633684544026, tree_method='exact',\n use_label_encoder=False, validate_parameters=1, ...)"}}
				`@ -1 +0,0 @@`
				{"duration": 13.386974096298218, "input_args": {"Data": " F1_l2 F6_b F1_l2+F6_b \|F1_l2-F6_b\| F1_l2xF6_b F1_l2/F6_b F6_b/F1_l2\n0 -0.621488 1 0.378512 1.621488 -0.621488 -0.621488 -1.609041\n1 -0.785875 1 0.214125 1.785875 -0.785875 -0.785875 -1.272467\n2 -1.836501 11 9.163499 12.836501 -20.201514 -0.166955 -5.989650\n3 -1.395929 6 4.604071 7.395929 -8.375572 -0.232655 -4.298214\n4 -0.943416 3 2.056584 3.943416 -2.830249 -0.314472 -3.179932\n... ... ... ... ... ... ... ...\n1594 -0.736966 2 1.263034 2.736966 -1.473931 -0.368483 -2.713831\n1595 -0.862496 2 1.137504 2.862496 -1.724993 -0.431248 -2.318850\n1596 -0.971431 3 2.028569 3.971431 -2.914293 -0.323810 -3.088228\n1597 -0.632629 3 2.367371 3.632629 -1.897887 -0.210876 -4.742116\n1598 -1.689660 9 7.310340 10.689660 -15.206939 -0.187740 -5.326516\n\n[1599 rows x 7 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n colsample_bynode=1, colsample_bytree=0.9223705789444759,\n eta=0.08487346516301046, gamma=0, gpu_id=-1,\n importance_type='gain', interaction_constraints='',\n learning_rate=0.0848734677, max_delta_step=0, max_depth=7,\n min_child_weight=1, missing=nan, monotone_constraints='()',\n n_estimators=76, n_jobs=12, num_parallel_tree=1,\n objective='multi:softprob', probability=True, random_state=42,\n reg_alpha=0, reg_lambda=1, scale_pos_weight=None, silent=True,\n subsample=0.8912139968434072, tree_method='exact',\n use_label_encoder=False, validate_parameters=1, ...)"}}
				`@ -0,0 +1 @@`
				{"duration": 36.06182813644409, "input_args": {"Data": " F1 F2 F3 F4 F5_p4 F6 F7 F8_l1p F9 F10 F11 F12 F13 F14 F15 F16 F17 F18 F19 F20 F21 F22 F23 F24 F25 F26_p4 F27 F28 F29 F30 F31 F32 F33 F34 F35 F36 F37 F38 F39 F40 F41\n0 1.185 9.085 0 0 26.226372 3 0 1.535145 0.000 0 1 9.902 46.7 1 3.1934 1.359 0 1.034 1.476 3 3 0 0 1.100 2.483 541.987500 0 0 2 0 0.000 1 0 0 0.014 0 4.054 0 0 0 0\n1 0.000 8.179 2 0 23.171092 0 6 1.509839 0.000 6 0 10.054 35.1 0 1.8929 1.209 0 0.974 4.130 0 0 0 0 1.139 1.744 433.132851 0 0 0 0 0.000 2 0 0 0.000 0 3.489 0 4 0 0\n2 0.762 8.297 0 3 34.524744 0 0 1.467644 21.884 0 0 10.226 42.1 0 2.3934 1.204 0 1.027 1.027 0 0 0 2 1.120 2.773 616.048483 0 0 0 8 -0.686 3 0 0 0.004 0 3.693 0 0 0 0\n3 1.747 9.673 0 2 52.361143 23 0 1.730770 9.855 0 1 12.353 31.6 0 7.7233 0.906 0 1.291 5.094 0 0 0 0 1.348 5.741 1591.360175 1 0 0 2 -4.617 0 0 11 0.000 0 3.993 0 0 0 1\n4 1.824 9.825 0 2 53.144100 27 0 1.756995 9.894 0 1 12.519 31.8 0 7.9184 0.906 0 1.292 5.891 0 0 0 0 1.350 5.742 1605.516747 1 0 0 2 -4.724 0 0 13 0.000 0 4.005 0 0 0 1\n.. ... ... .. .. ... .. .. ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n832 1.125 7.878 0 1 20.816370 0 0 1.383791 0.000 0 0 9.311 43.8 0 3.0778 1.253 0 0.991 1.481 1 0 0 0 1.117 2.146 409.698121 0 0 1 2 0.000 1 0 0 0.045 0 3.573 0 0 0 0\n833 1.187 8.046 1 1 24.376773 0 2 1.412206 0.000 2 0 9.668 38.9 0 3.2726 1.230 0 0.998 1.358 2 0 0 0 1.132 2.315 523.361201 2 0 2 2 0.000 1 0 0 -0.025 0 3.666 0 2 0 0\n834 0.625 8.901 0 2 39.000037 0 0 1.557091 24.203 0 0 10.681 58.3 0 2.3715 1.312 0 1.008 1.262 4 0 0 0 1.087 2.500 795.020055 0 0 0 8 -0.128 6 0 0 0.000 0 3.942 0 0 0 0\n835 3.866 8.778 0 6 31.073055 0 0 1.648851 11.747 0 1 10.735 32.4 0 1.9452 1.166 0 0.992 10.593 0 0 0 0 1.140 2.300 613.579107 3 0 0 9 -0.347 1 0 0 0.000 0 3.497 0 0 0 0\n836 3.706 8.680 0 6 31.073055 0 0 1.634521 11.724 0 1 10.694 31.4 0 1.9472 1.153 0 0.993 9.639 0 0 0 0 1.143 2.321 613.579107 3 0 0 9 -0.338 1 0 0 0.000 0 3.497 0 0 0 0\n\n[837 rows x 41 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n colsample_bynode=1, colsample_bytree=0.8702434039276976,\n eta=0.2593099998788648, gamma=0, gpu_id=-1,\n importance_type='gain', interaction_constraints='',\n learning_rate=0.259310007, max_delta_step=0, max_depth=6,\n min_child_weight=1, missing=nan, monotone_constraints='()',\n n_estimators=188, n_jobs=12, num_parallel_tree=1,\n probability=True, random_state=42, reg_alpha=0, reg_lambda=1,\n scale_pos_weight=1, silent=True, subsample=0.9972633684544026,\n tree_method='exact', use_label_encoder=False,\n validate_parameters=1, verbosity=0)"}}