{"duration": 4.805838108062744, "input_args": {"Data": "      F1   F2       F3_em1   F4    F1xF3_em1\n0    2.5  3.3   543.571910  6.0  1358.929775\n1    1.9  2.7   329.299560  5.1   625.669164\n2    2.1  3.0  1210.967074  5.9  2543.030856\n3    1.8  2.9   543.571910  5.6   978.429438\n4    2.2  3.0   664.141633  5.8  1461.111593\n..   ...  ...          ...  ...          ...\n145  0.3  3.0   120.510418  1.4    36.153125\n146  0.2  3.8   163.021907  1.6    32.604381\n147  0.2  3.2    98.484316  1.4    19.696863\n148  0.2  3.7   199.336810  1.5    39.867362\n149  0.2  3.3   147.413159  1.4    29.482632\n\n[150 rows x 5 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n              colsample_bynode=1, colsample_bytree=0.9223705789444759,\n              eta=0.08487346516301046, gamma=0, gpu_id=-1,\n              importance_type='gain', interaction_constraints='',\n              learning_rate=0.0848734677, max_delta_step=0, max_depth=7,\n              min_child_weight=1, missing=nan, monotone_constraints='()',\n              n_estimators=76, 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=0.8912139968434072, tree_method='exact',\n              use_label_encoder=False, validate_parameters=1, ...)"}}