10437675 10468 Nicolas Hug 3 Supervised Classification 17374 sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(4) 8260816 l2_regularization 0.0 17370 learning_rate 0.1 17370 loss "auto" 17370 max_bins 255 17370 max_depth null 17370 max_iter 100 17370 max_leaf_nodes 31 17370 min_samples_leaf 20 17370 n_iter_no_change null 17370 random_state 52830 17370 scoring null 17370 tol 1e-07 17370 validation_fraction 0.1 17370 verbose 0 17370 warm_start false 17370 cv null 17374 error_score NaN 17374 iid "deprecated" 17374 n_iter 100 17374 n_jobs null 17374 param_distributions {"l2_regularization": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._continuous_distns.reciprocal_gen", "a": -Infinity, "b": Infinity, "args": [0.0001, 1], "kwds": {}}}, "learning_rate": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._continuous_distns.reciprocal_gen", "a": -Infinity, "b": Infinity, "args": [0.0001, 1], "kwds": {}}}, "max_depth": [5, 6, 7, 8, 9, 1000], "max_leaf_nodes": [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], "min_samples_leaf": [2, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]} 17374 pre_dispatch "2*n_jobs" 17374 random_state 0 17374 refit true 17374 return_train_score false 17374 scoring null 17374 verbose 0 17374 openml-python Sklearn_0.23.dev0. 3 kr-vs-kp https://www.openml.org/data/download/3/dataset_3_kr-vs-kp.arff -1 21799524 description https://api.openml.org/data/download/21799524/description.xml -1 21799525 predictions https://api.openml.org/data/download/21799525/predictions.arff -1 21799526 trace https://api.openml.org/data/download/21799526/trace.arff area_under_roc_curve 0.9992013146231816 [0.999201,0.999201] average_cost 0 f_measure 0.9949937421777222 [0.995207,0.994761] kappa 0.989967679825847 kb_relative_information_score 0.9856535368159048 mean_absolute_error 0.007929895462354754 mean_prior_absolute_error 0.49901358092237413 weighted_recall 0.9949937421777222 [0.995207,0.994761] number_of_instances 3196 [1669,1527] precision 0.9949937421777222 [0.995207,0.994761] predictive_accuracy 0.9949937421777222 prior_entropy 0.998575539213492 relative_absolute_error 0.01589114157513945 root_mean_prior_squared_error 0.49950623821173523 root_mean_squared_error 0.061847585490357196 root_relative_squared_error 0.12381744362548018 total_cost 0 unweighted_recall 0.9949838399129234 [0.995207,0.994761] area_under_roc_curve 0.9999608625885484 [0.999961,0.999961] area_under_roc_curve 0.9992955265938711 [0.999296,0.999296] area_under_roc_curve 0.9998434503541935 [0.999843,0.999843] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9999606268210094 [0.999961,0.999961] area_under_roc_curve 0.9993105893476205 [0.999311,0.999311] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.9968753973843552 [0.996997,0.996743] f_measure 0.9843818718908512 [0.984802,0.983923] f_measure 0.9937480419799499 [0.994048,0.993421] f_measure 0.9968753973843552 [0.996997,0.996743] f_measure 0.9968753973843552 [0.996997,0.996743] f_measure 1 [1,1] f_measure 0.9905911641086907 [0.991045,0.990099] f_measure 0.9905906048577243 [0.991098,0.990033] f_measure 1 [1,1] f_measure 1 [1,1] kappa 0.9937397292432897 kappa 0.9687329008051279 kappa 0.9874691623918237 kappa 0.9937397292432897 kappa 0.9937397292432897 kappa 1 kappa 0.9811454577693716 kappa 0.9811328194310273 kappa 1 kappa 1 kb_relative_information_score 0.9830774260299886 kb_relative_information_score 0.9574112587921291 kb_relative_information_score 0.9810478466101141 kb_relative_information_score 0.9938127818426189 kb_relative_information_score 0.9919470708817916 kb_relative_information_score 0.9998580481204306 kb_relative_information_score 0.980857232562958 kb_relative_information_score 0.9791503698472307 kb_relative_information_score 0.9937158779753497 kb_relative_information_score 0.9956820246330278 mean_absolute_error 0.009787071894009437 mean_absolute_error 0.023526839370576577 mean_absolute_error 0.0104371247926723 mean_absolute_error 0.0031858540001273284 mean_absolute_error 0.004668323734986194 mean_absolute_error 0.00009736584742557923 mean_absolute_error 0.010050862631822734 mean_absolute_error 0.010595437684960567 mean_absolute_error 0.004018883924751705 mean_absolute_error 0.002918265328842974 mean_prior_absolute_error 0.4990286898061312 mean_prior_absolute_error 0.4990286898061312 mean_prior_absolute_error 0.4990286898061312 mean_prior_absolute_error 0.4990286898061312 mean_prior_absolute_error 0.4990286898061312 mean_prior_absolute_error 0.4990286898061312 mean_prior_absolute_error 0.49909524173611874 mean_prior_absolute_error 0.4989560481570598 mean_prior_absolute_error 0.4989560481570598 mean_prior_absolute_error 0.4989560481570598 number_of_instances 320 [167,153] number_of_instances 320 [167,153] number_of_instances 320 [167,153] number_of_instances 320 [167,153] number_of_instances 320 [167,153] number_of_instances 320 [167,153] number_of_instances 319 [166,153] number_of_instances 319 [167,152] number_of_instances 319 [167,152] number_of_instances 319 [167,152] precision 0.9968952922077922 [1,0.993506] precision 0.9848694620253164 [1,0.968354] precision 0.9938239644970415 [0.988166,1] precision 0.9968952922077922 [1,0.993506] precision 0.9968952922077922 [1,0.993506] precision 1 [1,1] precision 0.9907625530967706 [0.982249,1] precision 0.9907615710861145 [0.982353,1] precision 1 [1,1] precision 1 [1,1] predictive_accuracy 0.996875 predictive_accuracy 0.984375 predictive_accuracy 0.99375 predictive_accuracy 0.996875 predictive_accuracy 0.996875 predictive_accuracy 1 predictive_accuracy 0.9905956112852665 predictive_accuracy 0.9905956112852665 predictive_accuracy 1 predictive_accuracy 1 prior_entropy 0.9986191629215038 prior_entropy 0.9986191629215038 prior_entropy 0.9986191629215038 prior_entropy 0.9986191629215038 prior_entropy 0.9986191629215038 prior_entropy 0.9986191629215038 prior_entropy 0.9988113175509788 prior_entropy 0.9984094255154751 prior_entropy 0.9984094255154751 prior_entropy 0.9984094255154751 relative_absolute_error 0.01961224293098587 relative_absolute_error 0.047145264092364254 relative_absolute_error 0.020914879256194757 relative_absolute_error 0.006384109902308439 relative_absolute_error 0.009354820334678157 relative_absolute_error 0.00019511072091547504 relative_absolute_error 0.020138165607150427 relative_absolute_error 0.021235212448262316 relative_absolute_error 0.00805458504731193 relative_absolute_error 0.00584874226822554 root_mean_prior_squared_error 0.4995213618016774 root_mean_prior_squared_error 0.4995213618016774 root_mean_prior_squared_error 0.4995213618016774 root_mean_prior_squared_error 0.4995213618016774 root_mean_prior_squared_error 0.4995213618016774 root_mean_prior_squared_error 0.4995213618016774 root_mean_prior_squared_error 0.4995879730599906 root_mean_prior_squared_error 0.49944864525507615 root_mean_prior_squared_error 0.49944864525507615 root_mean_prior_squared_error 0.49944864525507615 root_mean_squared_error 0.05364273292524597 root_mean_squared_error 0.10379197630225473 root_mean_squared_error 0.07819744748096683 root_mean_squared_error 0.04062204603520667 root_mean_squared_error 0.03477594549628997 root_mean_squared_error 0.0013250234338747645 root_mean_squared_error 0.07260840045213224 root_mean_squared_error 0.09842023749739823 root_mean_squared_error 0.023124171362946918 root_mean_squared_error 0.01151408125897186 root_relative_squared_error 0.10738826610290891 root_relative_squared_error 0.20778285823032083 root_relative_squared_error 0.15654475155761843 root_relative_squared_error 0.08132193964376373 root_relative_squared_error 0.06961853517307012 root_relative_squared_error 0.0026525861258378624 root_relative_squared_error 0.1453365660654393 root_relative_squared_error 0.19705777247054798 root_relative_squared_error 0.04629939751090334 root_relative_squared_error 0.023053583923711395 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 unweighted_recall 0.9970059880239521 [0.994012,1] unweighted_recall 0.9850299401197604 [0.97006,1] unweighted_recall 0.9934640522875817 [1,0.986928] unweighted_recall 0.9970059880239521 [0.994012,1] unweighted_recall 0.9970059880239521 [0.994012,1] unweighted_recall 1 [1,1] unweighted_recall 0.9901960784313726 [1,0.980392] unweighted_recall 0.9901315789473684 [1,0.980263] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] usercpu_time_millis 2379.08992 usercpu_time_millis 2297.127778 usercpu_time_millis 2468.2476850000003 usercpu_time_millis 2318.9469029999987 usercpu_time_millis 2316.3897389999984 usercpu_time_millis 2426.9706739999997 usercpu_time_millis 2357.860404 usercpu_time_millis 2376.1615159999997 usercpu_time_millis 2429.230403000002 usercpu_time_millis 2424.6034219999974 usercpu_time_millis_testing 3.6766379999999543 usercpu_time_millis_testing 3.5734850000004315 usercpu_time_millis_testing 4.002092000000346 usercpu_time_millis_testing 3.6214739999991252 usercpu_time_millis_testing 3.651085999999637 usercpu_time_millis_testing 3.5595330000006697 usercpu_time_millis_testing 3.574056999998021 usercpu_time_millis_testing 3.785223000001281 usercpu_time_millis_testing 3.594161999998846 usercpu_time_millis_testing 3.5928329999990183 usercpu_time_millis_training 2375.413282 usercpu_time_millis_training 2293.5542929999997 usercpu_time_millis_training 2464.245593 usercpu_time_millis_training 2315.3254289999995 usercpu_time_millis_training 2312.7386529999985 usercpu_time_millis_training 2423.411140999999 usercpu_time_millis_training 2354.286347000002 usercpu_time_millis_training 2372.3762929999984 usercpu_time_millis_training 2425.636241000003 usercpu_time_millis_training 2421.010588999998 wall_clock_time_millis 13517.666339874268 wall_clock_time_millis 12113.638401031494 wall_clock_time_millis 12384.717226028442 wall_clock_time_millis 12327.913045883179 wall_clock_time_millis 12545.604467391968 wall_clock_time_millis 12587.579488754272 wall_clock_time_millis 12589.983463287354 wall_clock_time_millis 12525.982141494751 wall_clock_time_millis 12569.690465927124 wall_clock_time_millis 12519.212245941162 wall_clock_time_millis_testing 3.675222396850586 wall_clock_time_millis_testing 3.572225570678711 wall_clock_time_millis_testing 4.004478454589844 wall_clock_time_millis_testing 3.6203861236572266 wall_clock_time_millis_testing 3.650188446044922 wall_clock_time_millis_testing 3.5583972930908203 wall_clock_time_millis_testing 3.576517105102539 wall_clock_time_millis_testing 3.783702850341797 wall_clock_time_millis_testing 3.5965442657470703 wall_clock_time_millis_testing 3.5915374755859375 wall_clock_time_millis_training 13513.991117477417 wall_clock_time_millis_training 12110.066175460815 wall_clock_time_millis_training 12380.712747573853 wall_clock_time_millis_training 12324.292659759521 wall_clock_time_millis_training 12541.954278945923 wall_clock_time_millis_training 12584.021091461182 wall_clock_time_millis_training 12586.406946182251 wall_clock_time_millis_training 12522.19843864441 wall_clock_time_millis_training 12566.093921661377 wall_clock_time_millis_training 12515.620708465576 weighted_recall 0.996875 [0.994012,1] weighted_recall 0.984375 [0.97006,1] weighted_recall 0.99375 [1,0.986928] weighted_recall 0.996875 [0.994012,1] weighted_recall 0.996875 [0.994012,1] weighted_recall 1 [1,1] weighted_recall 0.9905956112852664 [1,0.980392] weighted_recall 0.9905956112852664 [1,0.980263] weighted_recall 1 [1,1] weighted_recall 1 [1,1]