FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches
https://doi.org/10.1109/TVCG.2022.3141040
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
1 lines
2.5 KiB
1 lines
2.5 KiB
{"duration": 45.19109106063843, "input_args": {"Data": " F1 F2_l1p F3 F4_p4 F5_l1p F6_l2 F7_l1p F8 F9_l1p F10 F11_p4 F12 F13 F14_l10 F15_l10 F16 F17 F18_l1p\n0 184 5.093750 48 3111696 4.262680 7.622052 2.397895 6 5.176150 72 81450625 159 16 2.250420 1.301030 187 83 5.940171\n1 158 5.010635 41 4100625 4.290459 7.636625 2.302585 9 5.141664 57 68574961 143 14 2.149219 1.278754 189 84 5.802118\n2 127 4.976734 41 4477456 4.158883 7.693487 2.302585 6 5.081404 63 74805201 143 10 2.201397 1.278754 199 82 5.736572\n3 164 4.927254 43 5308416 4.219508 7.658211 2.302585 3 5.093750 65 65610000 146 3 2.195900 1.255273 193 66 5.641907\n4 112 4.812184 34 8503056 4.174387 7.700440 2.079442 2 4.955827 61 54700816 127 14 2.146128 1.230449 200 62 5.411646\n.. ... ... .. ... ... ... ... .. ... ... ... ... ... ... ... ... ... ...\n841 173 5.017280 43 4100625 4.430817 7.515700 2.079442 4 5.153292 55 52200625 146 15 2.089905 1.278754 180 66 5.789960\n842 186 5.023881 45 4100625 4.488636 7.531381 3.135494 1 5.231109 69 43046721 147 10 2.187521 1.278754 180 68 5.817111\n843 119 5.023881 37 3418801 4.189655 7.700440 2.079442 0 5.123964 66 88529281 129 16 2.238046 1.278754 201 70 5.849325\n844 172 5.093750 47 2560000 4.234107 7.679480 2.079442 9 5.192957 70 100000000 153 6 2.267172 1.301030 200 70 6.008813\n845 255 5.583496 58 456976 4.454347 7.515700 1.945910 4 5.655992 51 151807041 174 8 2.262451 1.462398 181 105 6.926577\n\n[846 rows x 18 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n colsample_bynode=1, colsample_bytree=0.8650366644053494,\n eta=0.232401544584516, gamma=0, gpu_id=-1, importance_type='gain',\n interaction_constraints='', learning_rate=0.23240155,\n max_delta_step=0, max_depth=9, min_child_weight=1, missing=nan,\n monotone_constraints='()', n_estimators=178, n_jobs=12,\n num_parallel_tree=1, objective='multi:softprob', probability=True,\n random_state=42, reg_alpha=0, reg_lambda=1, scale_pos_weight=None,\n silent=True, subsample=0.8944429850323898, tree_method='exact',\n use_label_encoder=False, validate_parameters=1, ...)"}} |