{"duration": 1.665640115737915, "input_args": {"Data": "     F1_p2    F2_l1p     F1+F2   |F1-F2|     F1xF2     F1/F2      F2/F1\n0     6.25  1.458615  7.708615  4.791385  9.116344  4.284887   0.233378\n1     3.61  1.308333  4.918333  2.301667  4.723081  2.759237   0.362419\n2     4.41  1.386294  5.796294  3.023706  6.113558  3.181143   0.314352\n3     3.24  1.360977  4.600977  1.879023  4.409564  2.380644   0.420054\n4     4.84  1.386294  6.226294  3.453706  6.709665  3.491322   0.286424\n..     ...       ...       ...       ...       ...       ...        ...\n145   0.09  1.386294  1.476294  1.296294  0.124766  0.064921  15.403271\n146   0.04  1.568616  1.608616  1.528616  0.062745  0.025500  39.215398\n147   0.04  1.435085  1.475085  1.395085  0.057403  0.027873  35.877113\n148   0.04  1.547563  1.587563  1.507563  0.061903  0.025847  38.689063\n149   0.04  1.458615  1.498615  1.418615  0.058345  0.027423  36.465376\n\n[150 rows x 7 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=1, eta=0.17855860960340292,\n              gamma=0, gpu_id=-1, importance_type='gain',\n              interaction_constraints='', learning_rate=0.178558603,\n              max_delta_step=0, max_depth=9, min_child_weight=1, missing=nan,\n              monotone_constraints='()', n_estimators=14, 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=1, tree_method='exact',\n              use_label_encoder=False, validate_parameters=1, ...)"}}