OpenML
Supervised Classification on auto93

Supervised Classification on auto93

Task 3725 Supervised Classification auto93 512 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7772, kappa: 0.5373, kb_relative_information_score: 43.8356, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.789, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8571, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.7766, kappa: 0.5322, kb_relative_information_score: 43.3509, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7836, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.5299, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8534, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7702, kappa: 0.5049, kb_relative_information_score: 36.1635, mean_absolute_error: 0.2908, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.771, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.6186, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.837, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.814, kappa: 0.5992, kb_relative_information_score: 39.9882, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8158, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7271, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.7558, kappa: 0.4721, kb_relative_information_score: 44.0239, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7607, predictive_accuracy: 0.7634, prior_entropy: 0.9573, recall: 0.7634, relative_absolute_error: 0.5158, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9924, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7645, f_measure: 0.8002, kappa: 0.5681, kb_relative_information_score: 52.5663, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8075, predictive_accuracy: 0.8065, prior_entropy: 0.9573, recall: 0.8065, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.8977, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.7776, kappa: 0.5423, kb_relative_information_score: 46.0192, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7953, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.4941, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8893, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.7984, kappa: 0.5814, kb_relative_information_score: 48.6039, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8101, predictive_accuracy: 0.7957, prior_entropy: 0.9573, recall: 0.7957, relative_absolute_error: 0.4688, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.941, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4498, f_measure: 0.4791, kb_relative_information_score: -0.2139, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.3889, predictive_accuracy: 0.6237, prior_entropy: 0.9573, recall: 0.6237, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4849, root_relative_squared_error: 1.0009, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.772, kappa: 0.5106, kb_relative_information_score: 43.4186, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7715, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.5383, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.862, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.893, kappa: 0.7735, kb_relative_information_score: 52.7032, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8944, predictive_accuracy: 0.8925, prior_entropy: 0.9573, recall: 0.8925, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6726, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.8038, kappa: 0.5781, kb_relative_information_score: 50.365, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8044, predictive_accuracy: 0.8065, prior_entropy: 0.9573, recall: 0.8065, relative_absolute_error: 0.4557, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.817, scimark_benchmark: 851.2074, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.6581, kappa: 0.2649, kb_relative_information_score: 16.9929, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.6833, predictive_accuracy: 0.6882, prior_entropy: 0.9573, recall: 0.6882, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4799, root_relative_squared_error: 0.9906, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.9039, kappa: 0.7973, kb_relative_information_score: 66.4113, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.9066, predictive_accuracy: 0.9032, prior_entropy: 0.9573, recall: 0.9032, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.639, scimark_benchmark: 931.771, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, f_measure: 0.5262, kappa: 0.0703, kb_relative_information_score: 20.8715, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7738, predictive_accuracy: 0.6452, prior_entropy: 0.9573, recall: 0.6452, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.5957, root_relative_squared_error: 1.2295, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8241, kappa: 0.6206, kb_relative_information_score: 49.028, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8279, predictive_accuracy: 0.828, prior_entropy: 0.9573, recall: 0.828, relative_absolute_error: 0.4846, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7283, scimark_benchmark: 936.3373, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.9039, kappa: 0.7973, kb_relative_information_score: 66.4113, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.9066, predictive_accuracy: 0.9032, prior_entropy: 0.9573, recall: 0.9032, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.639, scimark_benchmark: 936.3373, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.814, kappa: 0.5992, kb_relative_information_score: 39.9882, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8158, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7271, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.772, kappa: 0.5106, kb_relative_information_score: 43.4186, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7715, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.5383, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.862, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.893, kappa: 0.7735, kb_relative_information_score: 52.7032, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8944, predictive_accuracy: 0.8925, prior_entropy: 0.9573, recall: 0.8925, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6726, scimark_benchmark: 901.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.8038, kappa: 0.5781, kb_relative_information_score: 50.365, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8044, predictive_accuracy: 0.8065, prior_entropy: 0.9573, recall: 0.8065, relative_absolute_error: 0.4557, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.817, scimark_benchmark: 819.5729, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, f_measure: 0.5262, kappa: 0.0703, kb_relative_information_score: 20.8715, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7738, predictive_accuracy: 0.6452, prior_entropy: 0.9573, recall: 0.6452, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.5957, root_relative_squared_error: 1.2295, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, f_measure: 0.5262, kappa: 0.0703, kb_relative_information_score: 20.8715, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7738, predictive_accuracy: 0.6452, prior_entropy: 0.9573, recall: 0.6452, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.5957, root_relative_squared_error: 1.2295, scimark_benchmark: 919.3788, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.6581, kappa: 0.2649, kb_relative_information_score: 16.9929, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.6833, predictive_accuracy: 0.6882, prior_entropy: 0.9573, recall: 0.6882, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4799, root_relative_squared_error: 0.9906, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8241, kappa: 0.6206, kb_relative_information_score: 49.028, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8279, predictive_accuracy: 0.828, prior_entropy: 0.9573, recall: 0.828, relative_absolute_error: 0.4846, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7283, scimark_benchmark: 936.3213, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.9039, kappa: 0.7973, kb_relative_information_score: 66.4113, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.9066, predictive_accuracy: 0.9032, prior_entropy: 0.9573, recall: 0.9032, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.639, scimark_benchmark: 934.695, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.814, kappa: 0.5992, kb_relative_information_score: 39.9882, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8158, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7271, scimark_benchmark: 936.9595, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8485, kappa: 0.6756, kb_relative_information_score: 50.1879, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8484, predictive_accuracy: 0.8495, prior_entropy: 0.9573, recall: 0.8495, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6431, scimark_benchmark: 931.7096, usercpu_time_millis: 1920, usercpu_time_millis_testing: 790, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8461, kappa: 0.668, kb_relative_information_score: 49.9396, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8506, predictive_accuracy: 0.8495, prior_entropy: 0.9573, recall: 0.8495, relative_absolute_error: 0.487, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6563, scimark_benchmark: 938.988, usercpu_time_millis: 950, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.814, kappa: 0.5992, kb_relative_information_score: 48.3124, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8158, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.5054, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6727, scimark_benchmark: 945.2015, usercpu_time_millis: 370, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.8588, kappa: 0.6971, kb_relative_information_score: 52.2344, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8594, predictive_accuracy: 0.8602, prior_entropy: 0.9573, recall: 0.8602, relative_absolute_error: 0.4695, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.6198, scimark_benchmark: 924.2305, usercpu_time_millis: 190, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8269, kappa: 0.6293, kb_relative_information_score: 49.4507, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8266, predictive_accuracy: 0.828, prior_entropy: 0.9573, recall: 0.828, relative_absolute_error: 0.4884, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6731, scimark_benchmark: 899.1108, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8495, kappa: 0.6793, kb_relative_information_score: 56.3857, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8495, predictive_accuracy: 0.8495, prior_entropy: 0.9573, recall: 0.8495, relative_absolute_error: 0.3955, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.7419, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8495, kappa: 0.6793, kb_relative_information_score: 56.3857, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8495, predictive_accuracy: 0.8495, prior_entropy: 0.9573, recall: 0.8495, relative_absolute_error: 0.3955, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.7419, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.6581, kappa: 0.2649, kb_relative_information_score: 16.9929, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.6833, predictive_accuracy: 0.6882, prior_entropy: 0.9573, recall: 0.6882, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4799, root_relative_squared_error: 0.9906, scimark_benchmark: 1303.5632,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, f_measure: 0.5262, kappa: 0.0703, kb_relative_information_score: 20.8715, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7738, predictive_accuracy: 0.6452, prior_entropy: 0.9573, recall: 0.6452, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.5957, root_relative_squared_error: 1.2295, scimark_benchmark: 1316.5668, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7772, kappa: 0.5373, kb_relative_information_score: 46.569, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.789, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.4861, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9459, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 1333.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.6581, kappa: 0.2649, kb_relative_information_score: 16.9929, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.6833, predictive_accuracy: 0.6882, prior_entropy: 0.9573, recall: 0.6882, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4799, root_relative_squared_error: 0.9906, scimark_benchmark: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.772, kappa: 0.5106, kb_relative_information_score: 43.4186, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7715, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.5383, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.862, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.893, kappa: 0.7735, kb_relative_information_score: 52.7032, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8944, predictive_accuracy: 0.8925, prior_entropy: 0.9573, recall: 0.8925, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6726, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, f_measure: 0.5262, kappa: 0.0703, kb_relative_information_score: 20.8715, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.7738, predictive_accuracy: 0.6452, prior_entropy: 0.9573, recall: 0.6452, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.5957, root_relative_squared_error: 1.2295, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7772, kappa: 0.5373, kb_relative_information_score: 46.569, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.789, predictive_accuracy: 0.7742, prior_entropy: 0.9573, recall: 0.7742, relative_absolute_error: 0.4861, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9459, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 1366.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 54.5217, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7666, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.9039, kappa: 0.7973, kb_relative_information_score: 66.4113, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.9066, predictive_accuracy: 0.9032, prior_entropy: 0.9573, recall: 0.9032, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.639, scimark_benchmark: 1374.9737, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.814, kappa: 0.5992, kb_relative_information_score: 39.9882, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8158, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7271, scimark_benchmark: 1374.9737, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.893, kappa: 0.7735, kb_relative_information_score: 52.7032, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8944, predictive_accuracy: 0.8925, prior_entropy: 0.9573, recall: 0.8925, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6726, scimark_benchmark: 1274.7011, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs