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Binary files a/__pycache__/run.cpython-38.pyc and b/__pycache__/run.cpython-38.pyc differ
diff --git a/cachedir/joblib/run/estimator/01638357491a1f7a73e0ab8e8f582409/metadata.json b/cachedir/joblib/run/estimator/01638357491a1f7a73e0ab8e8f582409/metadata.json
index 21edcc3..3dc5e94 100644
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+++ b/cachedir/joblib/run/estimator/01638357491a1f7a73e0ab8e8f582409/metadata.json
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diff --git a/cachedir/joblib/run/estimator/07007f7dca9bdfd648d3542e509afb89/metadata.json b/cachedir/joblib/run/estimator/07007f7dca9bdfd648d3542e509afb89/metadata.json
index 2659046..b8eef4c 100644
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diff --git a/cachedir/joblib/run/estimator/2d3aa4b9a7a5e05fecd214f13f35c2f6/metadata.json b/cachedir/joblib/run/estimator/2d3aa4b9a7a5e05fecd214f13f35c2f6/metadata.json
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diff --git a/cachedir/joblib/run/estimator/501c8577828b16d7edbbaa0c4c50298a/metadata.json b/cachedir/joblib/run/estimator/501c8577828b16d7edbbaa0c4c50298a/metadata.json
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diff --git a/cachedir/joblib/run/estimator/53c192c9764e2921d7ee2543dca13d78/metadata.json b/cachedir/joblib/run/estimator/53c192c9764e2921d7ee2543dca13d78/metadata.json
index afdf495..63e4e4c 100644
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\ No newline at end of file
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diff --git a/cachedir/joblib/run/estimator/6090fba618ef6aae9c62af2152c10831/metadata.json b/cachedir/joblib/run/estimator/6090fba618ef6aae9c62af2152c10831/metadata.json
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diff --git a/cachedir/joblib/run/estimator/65ad99c302a3e6128ffd21fb73ff7858/metadata.json b/cachedir/joblib/run/estimator/65ad99c302a3e6128ffd21fb73ff7858/metadata.json
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diff --git a/cachedir/joblib/run/estimator/76ed4fb5a8425d0cdcb38d7aab16b0b2/metadata.json b/cachedir/joblib/run/estimator/76ed4fb5a8425d0cdcb38d7aab16b0b2/metadata.json
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diff --git a/cachedir/joblib/run/estimator/878e230e8d668ff8bf9ae658973cf276/metadata.json b/cachedir/joblib/run/estimator/878e230e8d668ff8bf9ae658973cf276/metadata.json
index a009f1b..0eb4da7 100644
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\ No newline at end of file
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\ No newline at end of file
diff --git a/cachedir/joblib/run/estimator/8dbc0d7097e6aca21bb30a8dc860f045/metadata.json b/cachedir/joblib/run/estimator/8dbc0d7097e6aca21bb30a8dc860f045/metadata.json
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\ No newline at end of file
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diff --git a/cachedir/joblib/run/estimator/96ba12b58138896ed090735e777c34ba/metadata.json b/cachedir/joblib/run/estimator/96ba12b58138896ed090735e777c34ba/metadata.json
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\ No newline at end of file
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diff --git a/cachedir/joblib/run/estimator/9814e674b9997336c137ce7a498b89d2/metadata.json b/cachedir/joblib/run/estimator/9814e674b9997336c137ce7a498b89d2/metadata.json
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\ No newline at end of file
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diff --git a/cachedir/joblib/run/estimator/9d6d5c57facf6580e27ecc5ac3a9da74/metadata.json b/cachedir/joblib/run/estimator/9d6d5c57facf6580e27ecc5ac3a9da74/metadata.json
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\ No newline at end of file
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diff --git a/cachedir/joblib/run/estimator/a0b1a379a10f9b720cb2a91b1b4f2fa1/metadata.json b/cachedir/joblib/run/estimator/a0b1a379a10f9b720cb2a91b1b4f2fa1/metadata.json
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\ No newline at end of file
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\ No newline at end of file
diff --git a/cachedir/joblib/run/estimator/b8a9b059b71e375385bcb3affc80aaae/metadata.json b/cachedir/joblib/run/estimator/b8a9b059b71e375385bcb3affc80aaae/metadata.json
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\ No newline at end of file
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diff --git a/cachedir/joblib/run/estimator/bd6da16bc4f265fe52537fa5b2e84845/metadata.json b/cachedir/joblib/run/estimator/bd6da16bc4f265fe52537fa5b2e84845/metadata.json
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\ No newline at end of file
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\ No newline at end of file
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\ No newline at end of file
diff --git a/cachedir/joblib/run/estimator/c78d75f852ea2ac732cd2c4d8cf5e3e3/metadata.json b/cachedir/joblib/run/estimator/c78d75f852ea2ac732cd2c4d8cf5e3e3/metadata.json
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\ No newline at end of file
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\ No newline at end of file
diff --git a/cachedir/joblib/run/estimator/d7a4fed50ef206c00c730c9b2e013bcb/metadata.json b/cachedir/joblib/run/estimator/d7a4fed50ef206c00c730c9b2e013bcb/metadata.json
index 820d210..dc7286b 100644
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+++ b/cachedir/joblib/run/estimator/d7a4fed50ef206c00c730c9b2e013bcb/metadata.json
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\ No newline at end of file
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\ No newline at end of file
diff --git a/cachedir/joblib/run/estimator/e5b137b59fcad7738516be11e783d76d/metadata.json b/cachedir/joblib/run/estimator/e5b137b59fcad7738516be11e783d76d/metadata.json
index 467918c..72b0b8e 100644
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+++ b/cachedir/joblib/run/estimator/e5b137b59fcad7738516be11e783d76d/metadata.json
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-{"duration": 2.851027011871338, "input_args": {"n_estimators": "190.03267976439997", "eta": "0.09263103092182289", "max_depth": "6.390309557911677", "subsample": "0.9931264066149119", "colsample_bytree": "0.9215089703802877"}}
\ No newline at end of file
+{"duration": 3.7448790073394775, "input_args": {"n_estimators": "190.03267976439997", "eta": "0.09263103092182289", "max_depth": "6.390309557911677", "subsample": "0.9931264066149119", "colsample_bytree": "0.9215089703802877"}}
\ No newline at end of file
diff --git a/cachedir/joblib/run/estimator/e907a73e538f95a05e43901c7239d26f/metadata.json b/cachedir/joblib/run/estimator/e907a73e538f95a05e43901c7239d26f/metadata.json
index d41e440..be76953 100644
--- a/cachedir/joblib/run/estimator/e907a73e538f95a05e43901c7239d26f/metadata.json
+++ b/cachedir/joblib/run/estimator/e907a73e538f95a05e43901c7239d26f/metadata.json
@@ -1 +1 @@
-{"duration": 1.353074073791504, "input_args": {"n_estimators": "76.44055944226989", "eta": "0.08487346516301046", "max_depth": "7.752867891211309", "subsample": "0.8912139968434072", "colsample_bytree": "0.9223705789444759"}}
\ No newline at end of file
+{"duration": 1.4961860179901123, "input_args": {"n_estimators": "76.44055944226989", "eta": "0.08487346516301046", "max_depth": "7.752867891211309", "subsample": "0.8912139968434072", "colsample_bytree": "0.9223705789444759"}}
\ No newline at end of file
diff --git a/cachedir/joblib/run/estimator/ecc4f427737ec1d8fd0403c51e99091c/metadata.json b/cachedir/joblib/run/estimator/ecc4f427737ec1d8fd0403c51e99091c/metadata.json
index 2d9b677..7d3c6a0 100644
--- a/cachedir/joblib/run/estimator/ecc4f427737ec1d8fd0403c51e99091c/metadata.json
+++ b/cachedir/joblib/run/estimator/ecc4f427737ec1d8fd0403c51e99091c/metadata.json
@@ -1 +1 @@
-{"duration": 1.3453011512756348, "input_args": {"n_estimators": "9.956729715098561", "eta": "0.18068320734549853", "max_depth": "8.565246110151298", "subsample": "0.821578285398661", "colsample_bytree": "0.8987591192728782"}}
\ No newline at end of file
+{"duration": 0.5324859619140625, "input_args": {"n_estimators": "9.956729715098561", "eta": "0.18068320734549853", "max_depth": "8.565246110151298", "subsample": "0.821578285398661", "colsample_bytree": "0.8987591192728782"}}
\ No newline at end of file
diff --git a/cachedir/joblib/run/estimator/eefbc848db1507e48416e389ebd02837/metadata.json b/cachedir/joblib/run/estimator/eefbc848db1507e48416e389ebd02837/metadata.json
index 9908cca..f26d22f 100644
--- a/cachedir/joblib/run/estimator/eefbc848db1507e48416e389ebd02837/metadata.json
+++ b/cachedir/joblib/run/estimator/eefbc848db1507e48416e389ebd02837/metadata.json
@@ -1 +1 @@
-{"duration": 5.720117807388306, "input_args": {"n_estimators": "188.7569839959147", "eta": "0.2593099998788648", "max_depth": "6.400782463573032", "subsample": "0.9972633684544026", "colsample_bytree": "0.8702434039276976"}}
\ No newline at end of file
+{"duration": 4.204831838607788, "input_args": {"n_estimators": "188.7569839959147", "eta": "0.2593099998788648", "max_depth": "6.400782463573032", "subsample": "0.9972633684544026", "colsample_bytree": "0.8702434039276976"}}
\ No newline at end of file
diff --git a/cachedir/joblib/run/estimator/f1d92e5f2a3bd05ecb2416c00ab93942/metadata.json b/cachedir/joblib/run/estimator/f1d92e5f2a3bd05ecb2416c00ab93942/metadata.json
index cf466d9..a145eab 100644
--- a/cachedir/joblib/run/estimator/f1d92e5f2a3bd05ecb2416c00ab93942/metadata.json
+++ b/cachedir/joblib/run/estimator/f1d92e5f2a3bd05ecb2416c00ab93942/metadata.json
@@ -1 +1 @@
-{"duration": 0.5371649265289307, "input_args": {"n_estimators": "19.53737551755531", "eta": "0.08523105624369066", "max_depth": "10.813181884524237", "subsample": "0.9973773873201035", "colsample_bytree": "0.9085392166316497"}}
\ No newline at end of file
+{"duration": 0.9143180847167969, "input_args": {"n_estimators": "19.53737551755531", "eta": "0.08523105624369066", "max_depth": "10.813181884524237", "subsample": "0.9973773873201035", "colsample_bytree": "0.9085392166316497"}}
\ No newline at end of file
diff --git a/cachedir/joblib/run/estimator/f636511a768ea642182097d47d727cb3/metadata.json b/cachedir/joblib/run/estimator/f636511a768ea642182097d47d727cb3/metadata.json
index 5e0afee..6440931 100644
--- a/cachedir/joblib/run/estimator/f636511a768ea642182097d47d727cb3/metadata.json
+++ b/cachedir/joblib/run/estimator/f636511a768ea642182097d47d727cb3/metadata.json
@@ -1 +1 @@
-{"duration": 4.091923952102661, "input_args": {"n_estimators": "122.21742728992572", "eta": "0.06452090304204987", "max_depth": "11.197056874649611", "subsample": "0.941614515559209", "colsample_bytree": "0.8311989040672406"}}
\ No newline at end of file
+{"duration": 2.5245182514190674, "input_args": {"n_estimators": "122.21742728992572", "eta": "0.06452090304204987", "max_depth": "11.197056874649611", "subsample": "0.941614515559209", "colsample_bytree": "0.8311989040672406"}}
\ No newline at end of file
diff --git a/cachedir/joblib/run/estimator/func_code.py b/cachedir/joblib/run/estimator/func_code.py
index 78615db..db2b4e3 100644
--- a/cachedir/joblib/run/estimator/func_code.py
+++ b/cachedir/joblib/run/estimator/func_code.py
@@ -1,8 +1,8 @@
-# first line: 586
+# first line: 580
     @memory.cache
     def estimator(n_estimators, eta, max_depth, subsample, colsample_bytree):
         # initialize model
-        print('loopingNew')
+        print('loopingQSAR')
         n_estimators = int(n_estimators)
         max_depth = int(max_depth)
         model = XGBClassifier(n_estimators=n_estimators, eta=eta, max_depth=max_depth, subsample=subsample, colsample_bytree=colsample_bytree, n_jobs=-1, random_state=RANDOM_SEED, silent=True, verbosity = 0, use_label_encoder=False)
diff --git a/cachedir/joblib/run/estimatorFeatureSelection/0e09d698e192a513a0e48318923cfe0d/output.pkl b/cachedir/joblib/run/estimatorFeatureSelection/0e09d698e192a513a0e48318923cfe0d/output.pkl
new file mode 100644
index 0000000..06b57ac
Binary files /dev/null and b/cachedir/joblib/run/estimatorFeatureSelection/0e09d698e192a513a0e48318923cfe0d/output.pkl differ
diff --git a/cachedir/joblib/run/estimatorFeatureSelection/1dece5a6ac641a158f55f38c2f19bc3a/metadata.json b/cachedir/joblib/run/estimatorFeatureSelection/1dece5a6ac641a158f55f38c2f19bc3a/metadata.json
new file mode 100644
index 0000000..70bce40
--- /dev/null
+++ b/cachedir/joblib/run/estimatorFeatureSelection/1dece5a6ac641a158f55f38c2f19bc3a/metadata.json
@@ -0,0 +1 @@
+{"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, ...)"}}
\ No newline at end of file
diff --git a/cachedir/joblib/run/estimatorFeatureSelection/35b06c1585296cbe5dbde2720b41dc63/output.pkl b/cachedir/joblib/run/estimatorFeatureSelection/35b06c1585296cbe5dbde2720b41dc63/output.pkl
new file mode 100644
index 0000000..6a0a8e4
Binary files /dev/null and b/cachedir/joblib/run/estimatorFeatureSelection/35b06c1585296cbe5dbde2720b41dc63/output.pkl differ
diff --git a/cachedir/joblib/run/estimatorFeatureSelection/366a0f8a4600be64c47960c7de8fe1e9/output.pkl b/cachedir/joblib/run/estimatorFeatureSelection/366a0f8a4600be64c47960c7de8fe1e9/output.pkl
new file mode 100644
index 0000000..010b79a
Binary files /dev/null and b/cachedir/joblib/run/estimatorFeatureSelection/366a0f8a4600be64c47960c7de8fe1e9/output.pkl differ
diff --git a/cachedir/joblib/run/estimatorFeatureSelection/3ccec7a626a2fb858a5cc1c2b2f25282/output.pkl b/cachedir/joblib/run/estimatorFeatureSelection/3ccec7a626a2fb858a5cc1c2b2f25282/output.pkl
new file mode 100644
index 0000000..8ad082a
Binary files /dev/null and b/cachedir/joblib/run/estimatorFeatureSelection/3ccec7a626a2fb858a5cc1c2b2f25282/output.pkl differ
diff --git a/cachedir/joblib/run/estimatorFeatureSelection/402017027ba3a50afc90fd835298d6b6/metadata.json b/cachedir/joblib/run/estimatorFeatureSelection/402017027ba3a50afc90fd835298d6b6/metadata.json
new file mode 100644
index 0000000..b401c61
--- /dev/null
+++ b/cachedir/joblib/run/estimatorFeatureSelection/402017027ba3a50afc90fd835298d6b6/metadata.json
@@ -0,0 +1 @@
+{"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)"}}
\ No newline at end of file
diff --git a/cachedir/joblib/run/estimatorFeatureSelection/4b9aa4234cd17658680e9705e0dfc853/output.pkl b/cachedir/joblib/run/estimatorFeatureSelection/4b9aa4234cd17658680e9705e0dfc853/output.pkl
new file mode 100644
index 0000000..672e090
Binary files /dev/null and b/cachedir/joblib/run/estimatorFeatureSelection/4b9aa4234cd17658680e9705e0dfc853/output.pkl differ
diff --git a/cachedir/joblib/run/estimatorFeatureSelection/51d22e80197033bfba7c393a5135e6a3/output.pkl b/cachedir/joblib/run/estimatorFeatureSelection/51d22e80197033bfba7c393a5135e6a3/output.pkl
new file mode 100644
index 0000000..cd869e3
Binary files /dev/null and b/cachedir/joblib/run/estimatorFeatureSelection/51d22e80197033bfba7c393a5135e6a3/output.pkl differ
diff --git a/cachedir/joblib/run/estimatorFeatureSelection/5750f70183ad143b12ee3d9f5100c9a4/output.pkl b/cachedir/joblib/run/estimatorFeatureSelection/5750f70183ad143b12ee3d9f5100c9a4/output.pkl
new file mode 100644
index 0000000..4d935a6
Binary files /dev/null and b/cachedir/joblib/run/estimatorFeatureSelection/5750f70183ad143b12ee3d9f5100c9a4/output.pkl differ
diff --git a/cachedir/joblib/run/estimatorFeatureSelection/696aa511b71ded760fcddc1a66f612dd/output.pkl b/cachedir/joblib/run/estimatorFeatureSelection/696aa511b71ded760fcddc1a66f612dd/output.pkl
new file mode 100644
index 0000000..fc9fe26
Binary files /dev/null and b/cachedir/joblib/run/estimatorFeatureSelection/696aa511b71ded760fcddc1a66f612dd/output.pkl differ
diff --git a/cachedir/joblib/run/estimatorFeatureSelection/6c7221458a9d947f06a9502fc98332dd/metadata.json b/cachedir/joblib/run/estimatorFeatureSelection/6c7221458a9d947f06a9502fc98332dd/metadata.json
new file mode 100644
index 0000000..0a261bc
--- /dev/null
+++ b/cachedir/joblib/run/estimatorFeatureSelection/6c7221458a9d947f06a9502fc98332dd/metadata.json
@@ -0,0 +1 @@
+{"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)"}}
\ No newline at end of file
diff --git a/cachedir/joblib/run/estimatorFeatureSelection/76bcf55a91df8fc3fc34773609714dee/metadata.json b/cachedir/joblib/run/estimatorFeatureSelection/76bcf55a91df8fc3fc34773609714dee/metadata.json
new file mode 100644
index 0000000..c99dd4d
--- /dev/null
+++ b/cachedir/joblib/run/estimatorFeatureSelection/76bcf55a91df8fc3fc34773609714dee/metadata.json
@@ -0,0 +1 @@
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diff --git a/cachedir/joblib/run/estimatorFeatureSelection/8535477c687736c77a69b62894907190/metadata.json b/cachedir/joblib/run/estimatorFeatureSelection/8535477c687736c77a69b62894907190/metadata.json
new file mode 100644
index 0000000..1b5dba6
--- /dev/null
+++ b/cachedir/joblib/run/estimatorFeatureSelection/8535477c687736c77a69b62894907190/metadata.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/cachedir/joblib/run/estimatorFeatureSelection/87b94a4add2e9fd3dab5c7c46aeff563/output.pkl b/cachedir/joblib/run/estimatorFeatureSelection/87b94a4add2e9fd3dab5c7c46aeff563/output.pkl
new file mode 100644
index 0000000..8dcba55
Binary files /dev/null and b/cachedir/joblib/run/estimatorFeatureSelection/87b94a4add2e9fd3dab5c7c46aeff563/output.pkl differ
diff --git a/cachedir/joblib/run/estimatorFeatureSelection/89fab13156b31d2cf6dd9570330f8375/metadata.json b/cachedir/joblib/run/estimatorFeatureSelection/89fab13156b31d2cf6dd9570330f8375/metadata.json
new file mode 100644
index 0000000..25a74a5
--- /dev/null
+++ b/cachedir/joblib/run/estimatorFeatureSelection/89fab13156b31d2cf6dd9570330f8375/metadata.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/cachedir/joblib/run/estimatorFeatureSelection/89fab13156b31d2cf6dd9570330f8375/output.pkl b/cachedir/joblib/run/estimatorFeatureSelection/89fab13156b31d2cf6dd9570330f8375/output.pkl
new file mode 100644
index 0000000..22578a9
Binary files /dev/null and b/cachedir/joblib/run/estimatorFeatureSelection/89fab13156b31d2cf6dd9570330f8375/output.pkl differ
diff --git a/cachedir/joblib/run/estimatorFeatureSelection/a6d10c8e16c56485298823ed0cf48c75/output.pkl b/cachedir/joblib/run/estimatorFeatureSelection/a6d10c8e16c56485298823ed0cf48c75/output.pkl
new file mode 100644
index 0000000..11d68bc
Binary files /dev/null and b/cachedir/joblib/run/estimatorFeatureSelection/a6d10c8e16c56485298823ed0cf48c75/output.pkl differ
diff --git a/cachedir/joblib/run/estimatorFeatureSelection/b405d17415daaef70456ed999649a86a/metadata.json b/cachedir/joblib/run/estimatorFeatureSelection/b405d17415daaef70456ed999649a86a/metadata.json
new file mode 100644
index 0000000..7393abf
--- /dev/null
+++ b/cachedir/joblib/run/estimatorFeatureSelection/b405d17415daaef70456ed999649a86a/metadata.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/cachedir/joblib/run/estimatorFeatureSelection/b9f18063a956e60963835da31891e04a/metadata.json b/cachedir/joblib/run/estimatorFeatureSelection/b9f18063a956e60963835da31891e04a/metadata.json
index 1d98437..307bb89 100644
--- a/cachedir/joblib/run/estimatorFeatureSelection/b9f18063a956e60963835da31891e04a/metadata.json
+++ b/cachedir/joblib/run/estimatorFeatureSelection/b9f18063a956e60963835da31891e04a/metadata.json
@@ -1 +1 @@
-{"duration": 48.241634130477905, "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)"}}
\ No newline at end of file
+{"duration": 25.673484086990356, "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  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  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  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  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  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  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  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  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  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  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  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  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  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  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  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  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  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  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  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  0.000    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)"}}
\ No newline at end of file
diff --git a/cachedir/joblib/run/estimatorFeatureSelection/ba15a2b93aba4f4c5f4e0e1075402346/metadata.json b/cachedir/joblib/run/estimatorFeatureSelection/ba15a2b93aba4f4c5f4e0e1075402346/metadata.json
new file mode 100644
index 0000000..8892918
--- /dev/null
+++ b/cachedir/joblib/run/estimatorFeatureSelection/ba15a2b93aba4f4c5f4e0e1075402346/metadata.json
@@ -0,0 +1 @@
+{"duration": 12.524936199188232, "input_args": {"Data": "        F1_l2   F4  F1_l2+F4  |F1_l2-F4|  F1_l2xF4  F1_l2/F4  F4/F1_l2\n0    1.321928  6.0  7.321928    4.678072  7.931569  0.220321  4.538825\n1    0.925999  5.1  6.025999    4.174001  4.722597  0.181569  5.507563\n2    1.070389  5.9  6.970389    4.829611  6.315297  0.181422  5.512013\n3    0.847997  5.6  6.447997    4.752003  4.748783  0.151428  6.603798\n4    1.137504  5.8  6.937504    4.662496  6.597520  0.196121  5.098885\n..        ...  ...       ...         ...       ...       ...       ...\n145 -1.736966  1.4 -0.336966    3.136966 -2.431752 -1.240690 -0.806003\n146 -2.321928  1.6 -0.721928    3.921928 -3.715085 -1.451205 -0.689082\n147 -2.321928  1.4 -0.921928    3.721928 -3.250699 -1.658520 -0.602947\n148 -2.321928  1.5 -0.821928    3.821928 -3.482892 -1.547952 -0.646015\n149 -2.321928  1.4 -0.921928    3.721928 -3.250699 -1.658520 -0.602947\n\n[150 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              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, ...)"}}
\ No newline at end of file
diff --git a/cachedir/joblib/run/estimatorFeatureSelection/bb7cdac82ed60476ac6ece61182b94c9/metadata.json b/cachedir/joblib/run/estimatorFeatureSelection/bb7cdac82ed60476ac6ece61182b94c9/metadata.json
new file mode 100644
index 0000000..1d985c4
--- /dev/null
+++ b/cachedir/joblib/run/estimatorFeatureSelection/bb7cdac82ed60476ac6ece61182b94c9/metadata.json
@@ -0,0 +1 @@
+{"duration": 38.24396634101868, "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\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\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\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\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\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\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\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\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\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\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\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)"}}
\ No newline at end of file
diff --git a/cachedir/joblib/run/estimatorFeatureSelection/c2a997b7ad50002eba29c8f9a2313fb5/output.pkl b/cachedir/joblib/run/estimatorFeatureSelection/c2a997b7ad50002eba29c8f9a2313fb5/output.pkl
new file mode 100644
index 0000000..4640ae0
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diff --git a/cachedir/joblib/run/estimatorFeatureSelection/cdec4a607ce89e2b4c44121266d10374/output.pkl b/cachedir/joblib/run/estimatorFeatureSelection/cdec4a607ce89e2b4c44121266d10374/output.pkl
new file mode 100644
index 0000000..dd2c9bb
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diff --git a/cachedir/joblib/run/estimatorFeatureSelection/d493dd51896ff851af1777da168b9f19/output.pkl b/cachedir/joblib/run/estimatorFeatureSelection/d493dd51896ff851af1777da168b9f19/output.pkl
new file mode 100644
index 0000000..c4b1e78
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diff --git a/cachedir/joblib/run/estimatorFeatureSelection/e21e710e7c3716af7b8085e270a95b01/output.pkl b/cachedir/joblib/run/estimatorFeatureSelection/e21e710e7c3716af7b8085e270a95b01/output.pkl
new file mode 100644
index 0000000..ef57b5b
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diff --git a/cachedir/joblib/run/estimatorFeatureSelection/e2ee5ec49de6352f9fc8c15ebeb1ab6f/output.pkl b/cachedir/joblib/run/estimatorFeatureSelection/e2ee5ec49de6352f9fc8c15ebeb1ab6f/output.pkl
new file mode 100644
index 0000000..0449269
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diff --git a/cachedir/joblib/run/estimatorFeatureSelection/ec77c1fe554b7334d3e49fcd98bda14c/output.pkl b/cachedir/joblib/run/estimatorFeatureSelection/ec77c1fe554b7334d3e49fcd98bda14c/output.pkl
new file mode 100644
index 0000000..4bcd88d
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diff --git a/cachedir/joblib/run/estimatorFeatureSelection/f3364b8634393facf6a6bfd30bda61e5/output.pkl b/cachedir/joblib/run/estimatorFeatureSelection/f3364b8634393facf6a6bfd30bda61e5/output.pkl
new file mode 100644
index 0000000..40d9b94
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diff --git a/cachedir/joblib/run/estimatorFeatureSelection/fb0628e56503d23534fbe87f7939a2b0/output.pkl b/cachedir/joblib/run/estimatorFeatureSelection/fb0628e56503d23534fbe87f7939a2b0/output.pkl
new file mode 100644
index 0000000..a358169
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diff --git a/frontend/src/components/FeatureSpaceOverview.vue b/frontend/src/components/FeatureSpaceOverview.vue
index 5686189..911e7e9 100644
--- a/frontend/src/components/FeatureSpaceOverview.vue
+++ b/frontend/src/components/FeatureSpaceOverview.vue
@@ -79,6 +79,7 @@ export default {
       overallDataTransfCorr: [],
       overallDataTransfMI: [],
       keepRoot: 1,
+      collapsed: []
     }
   },
   methods: {
@@ -414,7 +415,6 @@ export default {
         // });
 
         update(root, true); // Layout the tree initially and center on the root node
-      
         // update the tree
         // source - source node of the update
         // transition - whether to do a transition
@@ -883,17 +883,26 @@ export default {
           EventBus.$emit('updateSlice', sendSliceID)
         }
 
-        function dblclick(d) {  // Toggle children of node
+        function dblclick(d, i) {  // Toggle children of node
           if (d3.event.defaultPrevented) { return; } // click suppressed
           d3.event.preventDefault();
           if (d3.event.shiftKey) {
             expand1Level(d); // expand node by one level
           } else {
+            
+            if (d.children) {
+              EventBus.$emit('collapsedNode', d.name)
+            } else if (d._children) {
+              EventBus.$emit('expandedNode', d.name)
+            }
+
             toggle(d);
           }
           update(d, true);
         }
 
+
+
         function tooldown(d) {  // tool button pressed
           d3.event.preventDefault();
           d3.select(d3.event.target).on('mouseout', toolup);
@@ -978,6 +987,16 @@ export default {
         //   }
         // }
 
+        if(this.collapsed.length != 0) {
+          console.log(this.collapsed)
+          root.children.forEach(element => {
+            if (this.collapsed.includes(element.name)) {
+              toggle(element);
+              update(element, true);
+            }
+          });
+        }
+
         // keyboard shortcuts
         function keydown(key, shift) {
           if (!key) {
@@ -1219,6 +1238,21 @@ export default {
       }
     },
   mounted () {
+
+    EventBus.$on('expandedNode', data => {
+      const index = this.collapsed.indexOf(data);
+      if (index > -1) {
+        this.collapsed.splice(index, 1);
+      }
+    })
+    EventBus.$on('collapsedNode', data => {
+       if(this.collapsed.includes(data)) {
+         
+       } else {
+        this.collapsed.push(data) 
+       }
+    })
+
     EventBus.$on('keepRootFun', data => { this.keepRoot = data })
     EventBus.$on('quad', data => { this.overallData = data })
 
diff --git a/frontend/src/components/Main.vue b/frontend/src/components/Main.vue
index c8888eb..abd8a97 100755
--- a/frontend/src/components/Main.vue
+++ b/frontend/src/components/Main.vue
@@ -191,10 +191,33 @@ export default Vue.extend({
   methods: {
     openModalFun () {
       $('#myModal').modal('show')
+      this.requestTest()
     },
     closeModalFun () {
       $('#myModal').modal('hide')
     },
+    requestTest () {
+      const path = `http://127.0.0.1:5000/data/testResults`
+
+      const postData = {
+      }
+      
+      const axiosConfig = {
+      headers: {
+      'Content-Type': 'application/json',
+      'Access-Control-Allow-Origin': '*',
+      'Access-Control-Allow-Headers': 'Origin, Content-Type, X-Auth-Token',
+      'Access-Control-Allow-Methods': 'GET, PUT, POST, DELETE, OPTIONS'
+      }
+      }
+      axios.post(path, postData, axiosConfig)
+      .then(response => {
+        console.log('Execute Test Protocol!')
+      })
+      .catch(error => {
+      console.log(error)
+      })
+    },
     openModalCalculate () {
       const path = `http://127.0.0.1:5000/data/RequestBestFeatures`
 
diff --git a/run.py b/run.py
index b53c9b2..639981b 100644
--- a/run.py
+++ b/run.py
@@ -580,7 +580,7 @@ def create_global_function():
     @memory.cache
     def estimator(n_estimators, eta, max_depth, subsample, colsample_bytree):
         # initialize model
-        print('loopingNew')
+        print('loopingQSAR')
         n_estimators = int(n_estimators)
         max_depth = int(max_depth)
         model = XGBClassifier(n_estimators=n_estimators, eta=eta, max_depth=max_depth, subsample=subsample, colsample_bytree=colsample_bytree, n_jobs=-1, random_state=RANDOM_SEED, silent=True, verbosity = 0, use_label_encoder=False)
@@ -827,16 +827,6 @@ def executeModel(exeCall, flagEx, nodeTransfName):
 
     #print(scores)
 
-    global StanceTest
-    if (StanceTest):
-        y_pred = estimator.predict(XDataTest)
-        print('Test data set')
-        print(classification_report(yDataTest, y_pred))
-
-        y_pred = estimator.predict(XDataExternal)
-        print('External data set')
-        print(classification_report(yDataExternal, y_pred))
-
     return 'Everything Okay'
 
 @app.route('/data/RequestBestFeatures', methods=["GET", "POST"])
@@ -2059,4 +2049,19 @@ def transformFeatures():
     clickedNodeName = retrieveTransform['nameClicked']
     removeNodeID = retrieveTransform['removeNode']
     executeModel([removeNodeID[1]], 4, clickedNodeName[0])
+    return 'Okay'
+
+@cross_origin(origin='localhost',headers=['Content-Type','Authorization'])
+@app.route('/data/testResults', methods=["GET", "POST"])
+def requestTestFun():
+    global StanceTest
+    global estimator
+    if (StanceTest):
+        y_pred = estimator.predict(XDataTest)
+        print('Test data set')
+        print(classification_report(yDataTest, y_pred))
+
+        y_pred = estimator.predict(XDataExternal)
+        print('External data set')
+        print(classification_report(yDataExternal, y_pred))
     return 'Okay'
\ No newline at end of file