{"duration": 1.2616550922393799, "input_args": {"Data": "     F1_p2    F2_l1p   F3     F4_l2\n0     6.25  1.458615  6.3  2.584963\n1     3.61  1.308333  5.8  2.350497\n2     4.41  1.386294  7.1  2.560715\n3     3.24  1.360977  6.3  2.485427\n4     4.84  1.386294  6.5  2.536053\n..     ...       ...  ...       ...\n145   0.09  1.386294  4.8  0.485427\n146   0.04  1.568616  5.1  0.678072\n147   0.04  1.435085  4.6  0.485427\n148   0.04  1.547563  5.3  0.584963\n149   0.04  1.458615  5.0  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, ...)"}}