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 line
2.0 KiB

4 years ago
{"duration": 46.285850048065186, "input_args": {"Data": " F1 F2 F3 F4_p4 F5 F6 F7 F8 F9 F10 F11 F12 F13 F14 F15 F16 F17 F18_l1p\n0 184 162 48 3111696 70 197 10 6 176 72 95 159 16 178 20 187 83 5.940171\n1 158 149 41 4100625 72 199 9 9 170 57 91 143 14 141 19 189 84 5.802118\n2 127 144 41 4477456 63 207 9 6 160 63 93 143 10 159 19 199 82 5.736572\n3 164 137 43 5308416 67 202 9 3 162 65 90 146 3 157 18 193 66 5.641907\n4 112 122 34 8503056 64 208 7 2 141 61 86 127 14 140 17 200 62 5.411646\n.. ... ... .. ... .. ... .. .. ... ... ... ... ... ... ... ... ... ...\n841 173 150 43 4100625 83 183 7 4 172 55 85 146 15 123 19 180 66 5.789960\n842 186 151 45 4100625 88 185 22 1 186 69 81 147 10 154 19 180 68 5.817111\n843 119 151 37 3418801 65 208 7 0 167 66 97 129 16 173 19 201 70 5.849325\n844 172 162 47 2560000 68 205 7 9 179 70 100 153 6 185 20 200 70 6.008813\n845 255 265 58 456976 85 183 6 4 285 51 111 174 8 183 29 181 105 6.926577\n\n[846 rows x 18 columns]", "clf": "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n colsample_bynode=1, colsample_bytree=0.8650366644053494,\n eta=0.232401544584516, gamma=0, gpu_id=-1, importance_type='gain',\n interaction_constraints='', learning_rate=0.23240155,\n max_delta_step=0, max_depth=9, min_child_weight=1, missing=nan,\n monotone_constraints='()', n_estimators=178, 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=0.8944429850323898, tree_method='exact',\n use_label_encoder=False, validate_parameters=1, ...)"}}