{"duration": 1.2176530361175537, "input_args": {"Data": "     F1_p2    F2_l1p       F3_em1     F4_l2\n0     6.25  1.458615   543.571910  2.584963\n1     3.61  1.308333   329.299560  2.350497\n2     4.41  1.386294  1210.967074  2.560715\n3     3.24  1.360977   543.571910  2.485427\n4     4.84  1.386294   664.141633  2.536053\n..     ...       ...          ...       ...\n145   0.09  1.386294   120.510418  0.485427\n146   0.04  1.568616   163.021907  0.678072\n147   0.04  1.435085    98.484316  0.485427\n148   0.04  1.547563   199.336810  0.584963\n149   0.04  1.458615   147.413159  0.485427\n\n[150 rows x 4 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, ...)"}}