FeatureEnVi/cachedir/joblib/run/estimatorFeatureSelection/5fa740243b273457bc3baef8701c08b7/metadata.json

{"duration": 26.56610608100891, "input_args": {"Data": "         F1_l2     F2       F3   F4     F5  F6_b   F7    F8    F9_l10   F10   F11\n0    -0.621488  0.065  0.99460  7.3   21.0     1  1.2  3.39 -0.327902  15.0  10.0\n1    -0.785875  0.073  0.99680  7.8   18.0     1  2.0  3.36 -0.244125   9.0   9.5\n2    -1.836501  0.092  0.99690  8.5  103.0    11  1.8  3.30 -0.124939  35.0  10.5\n3    -1.395929  0.066  0.99680  8.1   30.0     6  2.1  3.23 -0.136677  13.0   9.7\n4    -0.943416  0.085  0.99680  7.5   35.0     3  1.9  3.38 -0.207608  12.0   9.5\n...        ...    ...      ...  ...    ...   ...  ...   ...       ...   ...   ...\n1594 -0.736966  0.090  0.99490  6.2   44.0     2  2.0  3.45 -0.236572  32.0  10.5\n1595 -0.862496  0.062  0.99512  5.9   51.0     2  2.2  3.52 -0.119186  39.0  11.2\n1596 -0.971431  0.076  0.99574  6.3   40.0     3  2.3  3.42 -0.124939  29.0  11.0\n1597 -0.632629  0.075  0.99547  5.9   44.0     3  2.0  3.57 -0.148742  32.0  10.2\n1598 -1.689660  0.067  0.99549  6.0   42.0     9  3.6  3.39 -0.180456  18.0  11.0\n\n[1599 rows x 11 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, ...)"}}