10228940 8323 Heinrich Peters 22 Supervised Classification 12677 sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2) 8154042 l2_regularization 1e-07 12677 learning_rate 0.1 12677 loss "auto" 12677 max_bins 256 12677 max_depth 12 12677 max_iter 500 12677 max_leaf_nodes 4 12677 min_samples_leaf 16 12677 n_iter_no_change null 12677 random_state 59896 12677 scoring null 12677 tol 1e-07 12677 validation_fraction 0.2 12677 verbose 0 12677 openml-python Sklearn_0.21.2. 22 mfeat-zernike https://www.openml.org/data/download/22/dataset_22_mfeat-zernike.arff -1 21379294 description https://api.openml.org/data/download/21379294/description.xml -1 21379295 predictions https://api.openml.org/data/download/21379295/predictions.arff area_under_roc_curve 0.9747202777777777 [0.997925,0.998344,0.998694,0.991797,0.997089,0.990344,0.88621,0.998592,0.998681,0.889526] average_cost 0 f_measure 0.8026061750625021 [0.975,0.955665,0.952381,0.883249,0.947368,0.882206,0.260241,0.957179,0.954545,0.258228] kappa 0.778888888888889 kb_relative_information_score 0.8053420990742576 mean_absolute_error 0.04053799001202055 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8044053484526463 [0.975,0.941748,0.954774,0.896907,0.949749,0.884422,0.251163,0.964467,0.964286,0.261538] predictive_accuracy 0.8009999999999999 prior_entropy 3.3219280948872383 recall 0.801 [0.975,0.97,0.95,0.87,0.945,0.88,0.27,0.95,0.945,0.255] relative_absolute_error 0.22521105562232946 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1825503805688579 root_relative_squared_error 0.6085012685628503 total_cost 0 area_under_roc_curve 0.9765555555555555 [0.992222,1,0.998889,0.997778,1,0.991667,0.886111,0.999167,0.997778,0.901944] area_under_roc_curve 0.9785277777777776 [0.999722,0.998333,1,0.993611,0.999722,0.996389,0.899583,0.993056,0.997222,0.907639] area_under_roc_curve 0.973611111111111 [1,0.998611,0.996944,0.993333,0.999722,0.99,0.881528,0.998611,1,0.877361] area_under_roc_curve 0.9767500000000001 [1,0.999167,1,1,1,0.998333,0.89125,1,0.998611,0.880139] area_under_roc_curve 0.9720555555555555 [1,1,0.996944,0.979167,1,0.980556,0.880556,1,1,0.883333] area_under_roc_curve 0.975 [0.999722,0.998333,0.999444,0.999167,0.989722,0.990556,0.885139,0.998889,0.997778,0.89125] area_under_roc_curve 0.980111111111111 [1,0.999167,0.999722,0.998889,0.996667,0.997778,0.90125,1,1,0.907639] area_under_roc_curve 0.9716111111111111 [1,0.994722,0.998056,0.992778,0.997778,0.990833,0.870694,0.998611,0.998889,0.87375] area_under_roc_curve 0.9730555555555556 [0.990556,0.997778,0.9975,0.977222,0.995556,0.986111,0.890278,0.999444,0.998889,0.897222] area_under_roc_curve 0.9714722222222224 [0.999444,1,0.997778,0.995,0.993611,0.976667,0.879861,1,0.999167,0.873194] 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 0.8023439337097277 [0.95,0.930233,0.95,0.888889,1,0.8,0.263158,0.97561,0.947368,0.318182] f_measure 0.8098223983974947 [0.97561,0.952381,1,0.871795,0.974359,0.904762,0.285714,0.947368,0.923077,0.263158] f_measure 0.7948577356972139 [1,0.947368,0.930233,0.820513,0.97561,0.947368,0.222222,0.947368,1,0.157895] f_measure 0.8302320764387516 [0.974359,0.97561,1,0.974359,1,0.95,0.285714,0.974359,0.904762,0.263158] f_measure 0.8128526144176323 [1,0.97561,0.974359,0.842105,0.974359,0.809524,0.382979,0.947368,1,0.222222] f_measure 0.8109356868586052 [0.97561,0.926829,0.95,0.926829,0.918919,0.842105,0.341463,0.930233,0.947368,0.35] f_measure 0.8330199795925085 [1,0.97561,0.974359,0.9,0.9,0.926829,0.263158,1,1,0.390244] f_measure 0.7756853252296128 [0.97561,0.95,0.894737,0.878049,0.926829,0.923077,0.181818,0.947368,0.888889,0.190476] f_measure 0.7639287982453041 [0.923077,0.923077,0.923077,0.837209,0.878049,0.871795,0.111111,0.926829,0.952381,0.292683] f_measure 0.7870177211448071 [0.974359,1,0.926829,0.894737,0.926829,0.85,0.238095,0.97561,0.97561,0.108108] kappa 0.7777777777777778 kappa 0.788888888888889 kappa 0.7666666666666667 kappa 0.8111111111111111 kappa 0.788888888888889 kappa 0.788888888888889 kappa 0.8166666666666667 kappa 0.7388888888888889 kappa 0.7444444444444445 kappa 0.7666666666666667 kb_relative_information_score 0.8101830404463735 kb_relative_information_score 0.8175941356590678 kb_relative_information_score 0.7921918663046749 kb_relative_information_score 0.838992806491136 kb_relative_information_score 0.8047088436819557 kb_relative_information_score 0.8036302714606001 kb_relative_information_score 0.8387338140397709 kb_relative_information_score 0.7740128926960892 kb_relative_information_score 0.7707448154705143 kb_relative_information_score 0.8026285044921049 mean_absolute_error 0.039595009596628275 mean_absolute_error 0.0387989234952928 mean_absolute_error 0.04325559964098408 mean_absolute_error 0.034588788458942435 mean_absolute_error 0.040727809286653135 mean_absolute_error 0.040508869112629096 mean_absolute_error 0.03536922093369697 mean_absolute_error 0.04629860417503446 mean_absolute_error 0.04569217735926591 mean_absolute_error 0.040544898061077986 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 0.8091390614216702 [0.95,0.869565,0.95,1,1,0.8,0.277778,0.952381,1,0.291667] precision 0.811771853877117 [0.952381,0.909091,1,0.894737,1,0.863636,0.272727,1,0.947368,0.277778] precision 0.8030718099596819 [1,1,0.869565,0.842105,0.952381,1,0.2,1,1,0.166667] precision 0.8316522366522366 [1,0.952381,1,1,1,0.95,0.272727,1,0.863636,0.277778] precision 0.8197330447330448 [1,0.952381,1,0.888889,1,0.772727,0.333333,1,1,0.25] precision 0.8153692201518288 [0.952381,0.904762,0.95,0.904762,1,0.888889,0.333333,0.869565,1,0.35] precision 0.8315873015873017 [1,0.952381,1,0.9,0.9,0.904762,0.277778,1,1,0.380952] precision 0.7904583428267636 [0.952381,0.95,0.944444,0.857143,0.904762,0.947368,0.166667,1,1,0.181818] precision 0.7601160757625288 [0.947368,0.947368,0.947368,0.782609,0.857143,0.894737,0.125,0.904762,0.909091,0.285714] precision 0.7853649944826415 [1,1,0.904762,0.944444,0.904762,0.85,0.227273,0.952381,0.952381,0.117647] predictive_accuracy 0.8 predictive_accuracy 0.81 predictive_accuracy 0.79 predictive_accuracy 0.83 predictive_accuracy 0.81 predictive_accuracy 0.81 predictive_accuracy 0.835 predictive_accuracy 0.765 predictive_accuracy 0.77 predictive_accuracy 0.79 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 recall 0.8 [0.95,1,0.95,0.8,1,0.8,0.25,1,0.9,0.35] recall 0.81 [1,1,1,0.85,0.95,0.95,0.3,0.9,0.9,0.25] recall 0.79 [1,0.9,1,0.8,1,0.9,0.25,0.9,1,0.15] recall 0.83 [0.95,1,1,0.95,1,0.95,0.3,0.95,0.95,0.25] recall 0.81 [1,1,0.95,0.8,0.95,0.85,0.45,0.9,1,0.2] recall 0.81 [1,0.95,0.95,0.95,0.85,0.8,0.35,1,0.9,0.35] recall 0.835 [1,1,0.95,0.9,0.9,0.95,0.25,1,1,0.4] recall 0.765 [1,0.95,0.85,0.9,0.95,0.9,0.2,0.9,0.8,0.2] recall 0.77 [0.9,0.9,0.9,0.9,0.9,0.85,0.1,0.95,1,0.3] recall 0.79 [0.95,1,0.95,0.85,0.95,0.85,0.25,1,1,0.1] relative_absolute_error 0.219972275536824 relative_absolute_error 0.2155495749738491 relative_absolute_error 0.24030888689435626 relative_absolute_error 0.19215993588301372 relative_absolute_error 0.22626560714807323 relative_absolute_error 0.22504927284793969 relative_absolute_error 0.19649567185387226 relative_absolute_error 0.2572144676390806 relative_absolute_error 0.2538454297736998 relative_absolute_error 0.2252494336726557 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 0.17920690668130582 root_mean_squared_error 0.1773388028152618 root_mean_squared_error 0.18946638425196657 root_mean_squared_error 0.1650370221592356 root_mean_squared_error 0.18401721241066119 root_mean_squared_error 0.18385195304085855 root_mean_squared_error 0.16330499637486 root_mean_squared_error 0.19521633099194857 root_mean_squared_error 0.20068233895401077 root_mean_squared_error 0.18393559914296914 root_relative_squared_error 0.5973563556043531 root_relative_squared_error 0.5911293427175397 root_relative_squared_error 0.6315546141732223 root_relative_squared_error 0.5501234071974523 root_relative_squared_error 0.6133907080355376 root_relative_squared_error 0.6128398434695288 root_relative_squared_error 0.5443499879162004 root_relative_squared_error 0.6507211033064957 root_relative_squared_error 0.668941129846703 root_relative_squared_error 0.6131186638098975 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 usercpu_time_millis 11364.554295000744 usercpu_time_millis 11522.31645899974 usercpu_time_millis 11640.751818000354 usercpu_time_millis 11459.096173000034 usercpu_time_millis 11477.740533000542 usercpu_time_millis 11527.254091000032 usercpu_time_millis 11606.136534999678 usercpu_time_millis 11832.838979998996 usercpu_time_millis 11484.77551399992 usercpu_time_millis 11540.710768998906 usercpu_time_millis_testing 162.67135799989774 usercpu_time_millis_testing 160.0834870005201 usercpu_time_millis_testing 156.51806099958776 usercpu_time_millis_testing 157.20224199958466 usercpu_time_millis_testing 157.56675400007225 usercpu_time_millis_testing 191.49278500026412 usercpu_time_millis_testing 189.44421699961822 usercpu_time_millis_testing 192.22507999984373 usercpu_time_millis_testing 186.99769300019398 usercpu_time_millis_testing 187.01505899935 usercpu_time_millis_training 11201.882937000846 usercpu_time_millis_training 11362.23297199922 usercpu_time_millis_training 11484.233757000766 usercpu_time_millis_training 11301.89393100045 usercpu_time_millis_training 11320.17377900047 usercpu_time_millis_training 11335.761305999768 usercpu_time_millis_training 11416.69231800006 usercpu_time_millis_training 11640.613899999153 usercpu_time_millis_training 11297.777820999727 usercpu_time_millis_training 11353.695709999556 wall_clock_time_millis 11415.950059890747 wall_clock_time_millis 11546.892642974854 wall_clock_time_millis 11936.971187591553 wall_clock_time_millis 11679.852485656738 wall_clock_time_millis 12833.142280578613 wall_clock_time_millis 11983.342170715332 wall_clock_time_millis 11615.518808364868 wall_clock_time_millis 11990.004777908325 wall_clock_time_millis 11485.774755477905 wall_clock_time_millis 11545.531511306763 wall_clock_time_millis_testing 162.70685195922852 wall_clock_time_millis_testing 160.38918495178223 wall_clock_time_millis_testing 158.50472450256348 wall_clock_time_millis_testing 157.28378295898438 wall_clock_time_millis_testing 157.63211250305176 wall_clock_time_millis_testing 191.4989948272705 wall_clock_time_millis_testing 189.45050239562988 wall_clock_time_millis_testing 192.25811958312988 wall_clock_time_millis_testing 187.00480461120605 wall_clock_time_millis_testing 187.0417594909668 wall_clock_time_millis_training 11253.243207931519 wall_clock_time_millis_training 11386.503458023071 wall_clock_time_millis_training 11778.46646308899 wall_clock_time_millis_training 11522.568702697754 wall_clock_time_millis_training 12675.510168075562 wall_clock_time_millis_training 11791.843175888062 wall_clock_time_millis_training 11426.068305969238 wall_clock_time_millis_training 11797.746658325195 wall_clock_time_millis_training 11298.7699508667 wall_clock_time_millis_training 11358.489751815796