10437689 10468 Nicolas Hug 22 Supervised Classification 17374 sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(4) 8260830 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 22790 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. 22 mfeat-zernike https://www.openml.org/data/download/22/dataset_22_mfeat-zernike.arff -1 21799566 description https://api.openml.org/data/download/21799566/description.xml -1 21799567 predictions https://api.openml.org/data/download/21799567/predictions.arff -1 21799568 trace https://api.openml.org/data/download/21799568/trace.arff area_under_roc_curve 0.9589222222222222 [0.996967,0.997278,0.997228,0.991206,0.99755,0.98705,0.812782,0.998517,0.997072,0.813574] average_cost 0 f_measure 0.7891798641807559 [0.972292,0.947631,0.94321,0.885496,0.928395,0.884211,0.2,0.95,0.949239,0.231325] kappa 0.7611111111111112 kb_relative_information_score 0.7860961866702906 mean_absolute_error 0.04454782592583458 mean_prior_absolute_error 0.18000000000000554 weighted_recall 0.785 [0.965,0.95,0.955,0.87,0.94,0.84,0.205,0.95,0.935,0.24] number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7941048723560947 [0.979695,0.945274,0.931707,0.901554,0.917073,0.933333,0.195238,0.95,0.963918,0.223256] predictive_accuracy 0.785 prior_entropy 3.3219280948872383 relative_absolute_error 0.24748792181018453 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.19290446726926422 root_relative_squared_error 0.6430148908975376 total_cost 0 unweighted_recall 0.7849999999999999 [0.965,0.95,0.955,0.87,0.94,0.84,0.205,0.95,0.935,0.24] area_under_roc_curve 0.9621111111111111 [0.995,0.998889,0.998611,0.996111,1,0.982222,0.8125,0.999444,0.996389,0.841944] area_under_roc_curve 0.9687500000000001 [0.999444,1,1,0.998889,1,0.995556,0.859306,0.994722,0.993611,0.845972] area_under_roc_curve 0.9688055555555556 [1,0.994722,0.996944,0.987778,0.998611,0.999444,0.85625,0.998333,1,0.855972] area_under_roc_curve 0.9653055555555556 [0.998056,0.998611,1,0.999444,1,0.999444,0.823194,1,0.999167,0.835139] area_under_roc_curve 0.9595833333333332 [1,0.998611,0.9975,0.990556,0.998611,0.984722,0.828611,0.998333,0.999444,0.799444] area_under_roc_curve 0.9560833333333334 [1,0.998333,0.993611,0.9975,0.996667,0.974167,0.811528,0.995556,0.995,0.798472] area_under_roc_curve 0.9669722222222222 [1,1,0.999444,0.998056,0.996389,0.994167,0.840139,1,1,0.841528] area_under_roc_curve 0.971138888888889 [1,0.999167,0.998333,0.991944,0.996944,0.984444,0.874306,0.999167,0.995278,0.871806] area_under_roc_curve 0.9680833333333332 [0.990556,0.997222,0.995833,0.985278,0.996944,0.990556,0.857222,0.999167,0.999722,0.868333] area_under_roc_curve 0.9627500000000002 [1,1,0.998333,0.991667,0.995,0.989722,0.819306,1,0.999722,0.83375] 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 0.7883478108702755 [0.923077,0.952381,0.904762,0.864865,0.97561,0.894737,0.205128,0.95,0.894737,0.318182] f_measure 0.8031622442598052 [0.97561,0.97561,1,0.923077,0.95,0.923077,0.2,0.923077,0.923077,0.238095] f_measure 0.7881392626163475 [1,0.888889,0.926829,0.842105,0.930233,0.95,0.108108,0.974359,1,0.26087] f_measure 0.8229012180231692 [0.974359,0.97561,0.952381,0.974359,1,0.888889,0.243902,1,0.926829,0.292683] f_measure 0.808271691588705 [1,0.930233,0.974359,0.871795,0.974359,0.9,0.272727,0.974359,0.974359,0.210526] f_measure 0.7464602683065532 [0.97561,0.926829,0.95,0.883721,0.888889,0.777778,0.142857,0.857143,0.918919,0.142857] f_measure 0.8137233937233936 [0.974359,0.974359,0.974359,0.952381,0.904762,0.918919,0.2,1,1,0.238095] f_measure 0.7718781478367411 [1,0.95,0.923077,0.820513,0.883721,0.871795,0.232558,0.923077,0.918919,0.195122] f_measure 0.7654142533785487 [0.923077,0.894737,0.9,0.9,0.878049,0.894737,0.105263,0.926829,0.952381,0.27907] f_measure 0.7749413342643754 [0.974359,1,0.930233,0.810811,0.9,0.810811,0.26087,0.97561,0.97561,0.111111] kappa 0.7611111111111112 kappa 0.7777777777777778 kappa 0.7611111111111112 kappa 0.7999999999999999 kappa 0.7833333333333334 kappa 0.7111111111111111 kappa 0.788888888888889 kappa 0.7388888888888889 kappa 0.7388888888888889 kappa 0.75 kb_relative_information_score 0.7817963956911985 kb_relative_information_score 0.8048242900621755 kb_relative_information_score 0.7868990316700517 kb_relative_information_score 0.8148634768559334 kb_relative_information_score 0.7980583221294129 kb_relative_information_score 0.7490340039619531 kb_relative_information_score 0.802946189423237 kb_relative_information_score 0.7910682553169059 kb_relative_information_score 0.761263617562135 kb_relative_information_score 0.7702082840296094 mean_absolute_error 0.04458390795793859 mean_absolute_error 0.042500143348303376 mean_absolute_error 0.04337809145239328 mean_absolute_error 0.037836892877849616 mean_absolute_error 0.04043768349775194 mean_absolute_error 0.05053688874535284 mean_absolute_error 0.0402769287904069 mean_absolute_error 0.04770141768424607 mean_absolute_error 0.048516231142164766 mean_absolute_error 0.049710073761938416 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.7954734988094123 [0.947368,0.909091,0.863636,0.941176,0.952381,0.944444,0.210526,0.95,0.944444,0.291667] precision 0.8071508316245157 [0.952381,0.952381,1,0.947368,0.95,0.947368,0.2,0.947368,0.947368,0.227273] precision 0.796163230063486 [1,1,0.904762,0.888889,0.869565,0.95,0.117647,1,1,0.230769] precision 0.8290043290043291 [1,0.952381,0.909091,1,1,1,0.238095,1,0.904762,0.285714] precision 0.8136524281718791 [1,0.869565,1,0.894737,1,0.9,0.25,1,1,0.222222] precision 0.7599138904573687 [0.952381,0.904762,0.95,0.826087,1,0.875,0.136364,0.818182,1,0.136364] precision 0.82 [1,1,1,0.909091,0.863636,1,0.2,1,1,0.227273] precision 0.7815533398714174 [1,0.95,0.947368,0.842105,0.826087,0.894737,0.217391,0.947368,1,0.190476] precision 0.7679233657265694 [0.947368,0.944444,0.9,0.9,0.857143,0.944444,0.111111,0.904762,0.909091,0.26087] precision 0.779480223527538 [1,1,0.869565,0.882353,0.9,0.882353,0.230769,0.952381,0.952381,0.125] predictive_accuracy 0.785 predictive_accuracy 0.8 predictive_accuracy 0.785 predictive_accuracy 0.82 predictive_accuracy 0.805 predictive_accuracy 0.74 predictive_accuracy 0.81 predictive_accuracy 0.765 predictive_accuracy 0.765 predictive_accuracy 0.775 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 relative_absolute_error 0.24768837754410356 relative_absolute_error 0.2361119074905746 relative_absolute_error 0.24098939695774071 relative_absolute_error 0.21020496043249812 relative_absolute_error 0.22465379720973325 relative_absolute_error 0.28076049302973827 relative_absolute_error 0.2237607155022608 relative_absolute_error 0.2650078760235896 relative_absolute_error 0.2695346174564712 relative_absolute_error 0.2761670764552137 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.19352134342178118 root_mean_squared_error 0.18245385945910603 root_mean_squared_error 0.195767179586924 root_mean_squared_error 0.1832199412516165 root_mean_squared_error 0.19133548811909715 root_mean_squared_error 0.2108112415590488 root_mean_squared_error 0.18677203280707907 root_mean_squared_error 0.18461703554216324 root_mean_squared_error 0.20516457872132532 root_mean_squared_error 0.19333050267048799 root_relative_squared_error 0.6450711447392711 root_relative_squared_error 0.6081795315303538 root_relative_squared_error 0.652557265289747 root_relative_squared_error 0.6107331375053887 root_relative_squared_error 0.637784960396991 root_relative_squared_error 0.7027041385301629 root_relative_squared_error 0.6225734426902639 root_relative_squared_error 0.6153901184738778 root_relative_squared_error 0.6838819290710848 root_relative_squared_error 0.644435008901627 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 0.7849999999999999 [0.9,1,0.95,0.8,1,0.85,0.2,0.95,0.85,0.35] unweighted_recall 0.8 [1,1,1,0.9,0.95,0.9,0.2,0.9,0.9,0.25] unweighted_recall 0.7849999999999999 [1,0.8,0.95,0.8,1,0.95,0.1,0.95,1,0.3] unweighted_recall 0.8200000000000001 [0.95,1,1,0.95,1,0.8,0.25,1,0.95,0.3] unweighted_recall 0.805 [1,1,0.95,0.85,0.95,0.9,0.3,0.95,0.95,0.2] unweighted_recall 0.74 [1,0.95,0.95,0.95,0.8,0.7,0.15,0.9,0.85,0.15] unweighted_recall 0.8099999999999999 [0.95,0.95,0.95,1,0.95,0.85,0.2,1,1,0.25] unweighted_recall 0.765 [1,0.95,0.9,0.8,0.95,0.85,0.25,0.9,0.85,0.2] unweighted_recall 0.7649999999999999 [0.9,0.85,0.9,0.9,0.9,0.85,0.1,0.95,1,0.3] unweighted_recall 0.775 [0.95,1,1,0.75,0.9,0.75,0.3,1,1,0.1] usercpu_time_millis 7146.631839 usercpu_time_millis 6649.908247000001 usercpu_time_millis 5439.246497999999 usercpu_time_millis 5143.206319000001 usercpu_time_millis 5096.087767999997 usercpu_time_millis 5024.704993 usercpu_time_millis 5716.940671000004 usercpu_time_millis 5752.986303 usercpu_time_millis 6597.5905879999955 usercpu_time_millis 7185.270115999999 usercpu_time_millis_testing 27.150960999998475 usercpu_time_millis_testing 27.159082000000723 usercpu_time_millis_testing 24.85653999999826 usercpu_time_millis_testing 22.816936000001675 usercpu_time_millis_testing 25.77778799999919 usercpu_time_millis_testing 22.435418000000595 usercpu_time_millis_testing 25.98450299999655 usercpu_time_millis_testing 26.806591000003266 usercpu_time_millis_testing 26.260070999995833 usercpu_time_millis_testing 27.499509999998395 usercpu_time_millis_training 7119.480878000001 usercpu_time_millis_training 6622.749165 usercpu_time_millis_training 5414.389958000001 usercpu_time_millis_training 5120.389382999999 usercpu_time_millis_training 5070.309979999997 usercpu_time_millis_training 5002.269574999999 usercpu_time_millis_training 5690.956168000007 usercpu_time_millis_training 5726.1797119999965 usercpu_time_millis_training 6571.330516999999 usercpu_time_millis_training 7157.770606 wall_clock_time_millis 116058.93421173096 wall_clock_time_millis 115549.21650886536 wall_clock_time_millis 114529.75296974182 wall_clock_time_millis 114113.37852478027 wall_clock_time_millis 113043.23744773865 wall_clock_time_millis 112928.2398223877 wall_clock_time_millis 115456.62474632263 wall_clock_time_millis 114349.10082817078 wall_clock_time_millis 114246.83976173401 wall_clock_time_millis 116645.22123336792 wall_clock_time_millis_testing 27.139663696289062 wall_clock_time_millis_testing 27.14705467224121 wall_clock_time_millis_testing 24.84416961669922 wall_clock_time_millis_testing 22.809743881225586 wall_clock_time_millis_testing 25.772571563720703 wall_clock_time_millis_testing 22.424936294555664 wall_clock_time_millis_testing 25.971174240112305 wall_clock_time_millis_testing 26.795625686645508 wall_clock_time_millis_testing 26.248931884765625 wall_clock_time_millis_testing 27.48703956604004 wall_clock_time_millis_training 116031.79454803467 wall_clock_time_millis_training 115522.06945419312 wall_clock_time_millis_training 114504.90880012512 wall_clock_time_millis_training 114090.56878089905 wall_clock_time_millis_training 113017.46487617493 wall_clock_time_millis_training 112905.81488609314 wall_clock_time_millis_training 115430.65357208252 wall_clock_time_millis_training 114322.30520248413 wall_clock_time_millis_training 114220.59082984924 wall_clock_time_millis_training 116617.73419380188 weighted_recall 0.785 [0.9,1,0.95,0.8,1,0.85,0.2,0.95,0.85,0.35] weighted_recall 0.8 [1,1,1,0.9,0.95,0.9,0.2,0.9,0.9,0.25] weighted_recall 0.785 [1,0.8,0.95,0.8,1,0.95,0.1,0.95,1,0.3] weighted_recall 0.82 [0.95,1,1,0.95,1,0.8,0.25,1,0.95,0.3] weighted_recall 0.805 [1,1,0.95,0.85,0.95,0.9,0.3,0.95,0.95,0.2] weighted_recall 0.74 [1,0.95,0.95,0.95,0.8,0.7,0.15,0.9,0.85,0.15] weighted_recall 0.81 [0.95,0.95,0.95,1,0.95,0.85,0.2,1,1,0.25] weighted_recall 0.765 [1,0.95,0.9,0.8,0.95,0.85,0.25,0.9,0.85,0.2] weighted_recall 0.765 [0.9,0.85,0.9,0.9,0.9,0.85,0.1,0.95,1,0.3] weighted_recall 0.775 [0.95,1,1,0.75,0.9,0.75,0.3,1,1,0.1]