{"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)"}}