FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches
https://doi.org/10.1109/TVCG.2022.3141040
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
1 lines
1.7 KiB
1 lines
1.7 KiB
{"duration": 14.528310060501099, "input_args": {"Data": " F2 F8_l2 F2+F8_l2 |F2-F8_l2| F2xF8_l2 F2/F8_l2 F8_l2/F2\n0 9.085 1.864731 10.949731 7.220269 16.941080 4.872017 0.205254\n1 8.179 1.818032 9.997032 6.360968 14.869688 4.498820 0.222281\n2 8.297 1.739416 10.036416 6.557584 14.431935 4.769992 0.209644\n3 9.673 2.215679 11.888679 7.457321 21.432259 4.365705 0.229058\n4 9.825 2.261531 12.086531 7.563469 22.219540 4.344402 0.230181\n.. ... ... ... ... ... ... ...\n832 7.878 1.580145 9.458145 6.297855 12.448386 4.985617 0.200577\n833 8.046 1.634593 9.680593 6.411407 13.151937 4.922325 0.203156\n834 8.901 1.904966 10.805966 6.996034 16.956100 4.672525 0.214017\n835 8.778 2.070733 10.848733 6.707267 18.176892 4.239079 0.235900\n836 8.680 2.045093 10.725093 6.634907 17.751411 4.244305 0.235610\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)"}} |