OpenML
Supervised Classification on arrhythmia

Supervised Classification on arrhythmia

Task 3880 Supervised Classification arrhythmia 518 runs submitted
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  • study_1 study_107 study_123 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4898, f_measure: 0.3811, kb_relative_information_score: -0.0386, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 0.9949, recall: 0.542, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4983, root_relative_squared_error: 1, scimark_benchmark: 954.6676, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.7801, kappa: 0.5563, kb_relative_information_score: 229.5213, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.781, predictive_accuracy: 0.781, prior_entropy: 0.9949, recall: 0.781, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8747, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.7588, kappa: 0.5141, kb_relative_information_score: 142.212, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7588, predictive_accuracy: 0.7589, prior_entropy: 0.9949, recall: 0.7589, relative_absolute_error: 0.7199, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8398, scimark_benchmark: 972.587, usercpu_time_millis: 690, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7739, kappa: 0.5441, kb_relative_information_score: 199.8845, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.774, predictive_accuracy: 0.7743, prior_entropy: 0.9949, recall: 0.7743, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8579, scimark_benchmark: 851.2074, usercpu_time_millis: 950, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3811, kb_relative_information_score: 33.7641, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 0.9949, recall: 0.542, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6767, root_relative_squared_error: 1.3583, scimark_benchmark: 931.771, usercpu_time_millis: 1600, usercpu_time_millis_testing: 780, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3811, kb_relative_information_score: 33.7641, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 0.9949, recall: 0.542, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6767, root_relative_squared_error: 1.3583, scimark_benchmark: 916.0735, usercpu_time_millis: 1820, usercpu_time_millis_testing: 790, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7871, kappa: 0.571, kb_relative_information_score: 253.6441, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7943, predictive_accuracy: 0.7898, prior_entropy: 0.9949, recall: 0.7898, relative_absolute_error: 0.4398, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9014, scimark_benchmark: 941.6675, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7882, kappa: 0.5741, kb_relative_information_score: 255.2086, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8003, predictive_accuracy: 0.792, prior_entropy: 0.9949, recall: 0.792, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8784, scimark_benchmark: 941.6675, usercpu_time_millis: 550, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.802, kappa: 0.6005, kb_relative_information_score: 186.002, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8039, predictive_accuracy: 0.8031, prior_entropy: 0.9949, recall: 0.8031, relative_absolute_error: 0.6268, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7641, scimark_benchmark: 941.6675, usercpu_time_millis: 630, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.7107, kappa: 0.4199, kb_relative_information_score: 160.064, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7132, predictive_accuracy: 0.7102, prior_entropy: 0.9949, recall: 0.7102, relative_absolute_error: 0.6647, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.8741, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7882, kappa: 0.5741, kb_relative_information_score: 255.2086, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8003, predictive_accuracy: 0.792, prior_entropy: 0.9949, recall: 0.792, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8784, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3811, kb_relative_information_score: 33.7641, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 0.9949, recall: 0.542, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6767, root_relative_squared_error: 1.3583, scimark_benchmark: 932.438, usercpu_time_millis: 930, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7882, kappa: 0.5741, kb_relative_information_score: 255.2086, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8003, predictive_accuracy: 0.792, prior_entropy: 0.9949, recall: 0.792, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8784, scimark_benchmark: 932.438, usercpu_time_millis: 470, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7882, kappa: 0.5741, kb_relative_information_score: 255.2086, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8003, predictive_accuracy: 0.792, prior_entropy: 0.9949, recall: 0.792, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8784, scimark_benchmark: 974.2014, usercpu_time_millis: 650, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7882, kappa: 0.5741, kb_relative_information_score: 255.2086, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8003, predictive_accuracy: 0.792, prior_entropy: 0.9949, recall: 0.792, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8784, scimark_benchmark: 941.3847, usercpu_time_millis: 440, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.7248, kappa: 0.4449, kb_relative_information_score: 200.8113, mean_absolute_error: 0.2754, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7251, predictive_accuracy: 0.7257, prior_entropy: 0.9949, recall: 0.7257, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4873, root_relative_squared_error: 0.9781, scimark_benchmark: 938.5498, usercpu_time_millis: 40610, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.8031, kappa: 0.6031, kb_relative_information_score: 151.9319, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8093, predictive_accuracy: 0.8053, prior_entropy: 0.9949, recall: 0.8053, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7873, scimark_benchmark: 974.2014, usercpu_time_millis: 590, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.7801, kappa: 0.5563, kb_relative_information_score: 229.5213, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.781, predictive_accuracy: 0.781, prior_entropy: 0.9949, recall: 0.781, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8747, scimark_benchmark: 819.5729, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.7588, kappa: 0.5141, kb_relative_information_score: 142.212, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7588, predictive_accuracy: 0.7589, prior_entropy: 0.9949, recall: 0.7589, relative_absolute_error: 0.7199, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8398, scimark_benchmark: 901.6243, usercpu_time_millis: 570, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3811, kb_relative_information_score: 33.7641, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 0.9949, recall: 0.542, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6767, root_relative_squared_error: 1.3583, scimark_benchmark: 926.5462, usercpu_time_millis: 1220, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7882, kappa: 0.5741, kb_relative_information_score: 255.2086, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8003, predictive_accuracy: 0.792, prior_entropy: 0.9949, recall: 0.792, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8784, scimark_benchmark: 938.1282, usercpu_time_millis: 540, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7882, kappa: 0.5741, kb_relative_information_score: 255.2086, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8003, predictive_accuracy: 0.792, prior_entropy: 0.9949, recall: 0.792, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8784, scimark_benchmark: 903.2737, usercpu_time_millis: 580, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.802, kappa: 0.6005, kb_relative_information_score: 186.002, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8039, predictive_accuracy: 0.8031, prior_entropy: 0.9949, recall: 0.8031, relative_absolute_error: 0.6268, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7641, scimark_benchmark: 941.4991, usercpu_time_millis: 610, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.7107, kappa: 0.4199, kb_relative_information_score: 160.064, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7132, predictive_accuracy: 0.7102, prior_entropy: 0.9949, recall: 0.7102, relative_absolute_error: 0.6647, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.8741, scimark_benchmark: 941.7976, usercpu_time_millis: 1040, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7882, kappa: 0.5741, kb_relative_information_score: 255.2086, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8003, predictive_accuracy: 0.792, prior_entropy: 0.9949, recall: 0.792, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8784, scimark_benchmark: 944.0133, usercpu_time_millis: 560, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.7248, kappa: 0.4449, kb_relative_information_score: 200.8113, mean_absolute_error: 0.2754, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7251, predictive_accuracy: 0.7257, prior_entropy: 0.9949, recall: 0.7257, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4873, root_relative_squared_error: 0.9781, scimark_benchmark: 941.3057, usercpu_time_millis: 40330, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.8031, kappa: 0.6031, kb_relative_information_score: 151.9319, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8093, predictive_accuracy: 0.8053, prior_entropy: 0.9949, recall: 0.8053, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7873, scimark_benchmark: 917.5013, usercpu_time_millis: 460, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8269, kappa: 0.6508, kb_relative_information_score: 215.1585, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8276, predictive_accuracy: 0.8274, prior_entropy: 0.9949, recall: 0.8274, relative_absolute_error: 0.5635, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7063, scimark_benchmark: 931.7096, usercpu_time_millis: 85490, usercpu_time_millis_testing: 31790, usercpu_time_millis_training: 53700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8379, kappa: 0.6729, kb_relative_information_score: 216.4777, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8391, predictive_accuracy: 0.8385, prior_entropy: 0.9949, recall: 0.8385, relative_absolute_error: 0.5612, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.701, scimark_benchmark: 941.3057, usercpu_time_millis: 41920, usercpu_time_millis_testing: 16620, usercpu_time_millis_training: 25300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.8358, kappa: 0.6687, kb_relative_information_score: 213.4766, mean_absolute_error: 0.2817, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8365, predictive_accuracy: 0.8363, prior_entropy: 0.9949, recall: 0.8363, relative_absolute_error: 0.5674, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7098, scimark_benchmark: 938.3401, usercpu_time_millis: 20620, usercpu_time_millis_testing: 7930, usercpu_time_millis_training: 12690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.816, kappa: 0.6289, kb_relative_information_score: 209.3305, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8163, predictive_accuracy: 0.8164, prior_entropy: 0.9949, recall: 0.8164, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.7278, scimark_benchmark: 934.6244, usercpu_time_millis: 10800, usercpu_time_millis_testing: 3930, usercpu_time_millis_training: 6870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.7937, kappa: 0.5839, kb_relative_information_score: 209.0274, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7941, predictive_accuracy: 0.7942, prior_entropy: 0.9949, recall: 0.7942, relative_absolute_error: 0.5649, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7587, scimark_benchmark: 934.929, usercpu_time_millis: 5670, usercpu_time_millis_testing: 1850, usercpu_time_millis_training: 3820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.7914, kappa: 0.5792, kb_relative_information_score: 242.4845, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7919, predictive_accuracy: 0.792, prior_entropy: 0.9949, recall: 0.792, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8204, scimark_benchmark: 926.5859, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.7914, kappa: 0.5792, kb_relative_information_score: 242.4845, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7919, predictive_accuracy: 0.792, prior_entropy: 0.9949, recall: 0.792, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8204, scimark_benchmark: 935.6052, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.7938, kappa: 0.5842, kb_relative_information_score: 242.2981, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.794, predictive_accuracy: 0.7942, prior_entropy: 0.9949, recall: 0.7942, relative_absolute_error: 0.4758, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.818, scimark_benchmark: 894.7131, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.7661, kappa: 0.528, kb_relative_information_score: 200.7206, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7685, predictive_accuracy: 0.7677, prior_entropy: 0.9949, recall: 0.7677, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8452, scimark_benchmark: 929.0296, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7882, kappa: 0.5741, kb_relative_information_score: 255.2086, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8003, predictive_accuracy: 0.792, prior_entropy: 0.9949, recall: 0.792, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8784, scimark_benchmark: 1362.9924, usercpu_time_millis: 330, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7882, kappa: 0.5741, kb_relative_information_score: 255.2086, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8003, predictive_accuracy: 0.792, prior_entropy: 0.9949, recall: 0.792, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8784, scimark_benchmark: 1336.0954, usercpu_time_millis: 340, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.7248, kappa: 0.4449, kb_relative_information_score: 200.8113, mean_absolute_error: 0.2754, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7251, predictive_accuracy: 0.7257, prior_entropy: 0.9949, recall: 0.7257, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4873, root_relative_squared_error: 0.9781, scimark_benchmark: 1336.0954, usercpu_time_millis: 48830, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 48760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.7588, kappa: 0.5141, kb_relative_information_score: 142.212, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7588, predictive_accuracy: 0.7589, prior_entropy: 0.9949, recall: 0.7589, relative_absolute_error: 0.7199, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8398, scimark_benchmark: 1278.9821, usercpu_time_millis: 600, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7871, kappa: 0.571, kb_relative_information_score: 253.6441, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7943, predictive_accuracy: 0.7898, prior_entropy: 0.9949, recall: 0.7898, relative_absolute_error: 0.4398, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9014, scimark_benchmark: 929.0363, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7882, kappa: 0.5741, kb_relative_information_score: 255.2086, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8003, predictive_accuracy: 0.792, prior_entropy: 0.9949, recall: 0.792, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8784, scimark_benchmark: 1286.2211, usercpu_time_millis: 310, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7882, kappa: 0.5741, kb_relative_information_score: 255.2086, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8003, predictive_accuracy: 0.792, prior_entropy: 0.9949, recall: 0.792, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8784, scimark_benchmark: 1303.5632, usercpu_time_millis: 330, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7882, kappa: 0.5741, kb_relative_information_score: 255.2086, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8003, predictive_accuracy: 0.792, prior_entropy: 0.9949, recall: 0.792, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8784, scimark_benchmark: 1331.7953, usercpu_time_millis: 330, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3811, kb_relative_information_score: 33.7641, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 0.9949, recall: 0.542, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6767, root_relative_squared_error: 1.3583, scimark_benchmark: 1342.8584, usercpu_time_millis: 1320, usercpu_time_millis_testing: 910, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7871, kappa: 0.571, kb_relative_information_score: 253.6441, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7943, predictive_accuracy: 0.7898, prior_entropy: 0.9949, recall: 0.7898, relative_absolute_error: 0.4398, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9014, scimark_benchmark: 930.5999, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7882, kappa: 0.5741, kb_relative_information_score: 255.2086, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8003, predictive_accuracy: 0.792, prior_entropy: 0.9949, recall: 0.792, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8784, scimark_benchmark: 930.5999, usercpu_time_millis: 510, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7882, kappa: 0.5741, kb_relative_information_score: 255.2086, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8003, predictive_accuracy: 0.792, prior_entropy: 0.9949, recall: 0.792, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8784, scimark_benchmark: 930.5999, usercpu_time_millis: 450, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7882, kappa: 0.5741, kb_relative_information_score: 255.2086, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8003, predictive_accuracy: 0.792, prior_entropy: 0.9949, recall: 0.792, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8784, scimark_benchmark: 1340.9749, usercpu_time_millis: 320, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.802, kappa: 0.6005, kb_relative_information_score: 186.002, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8039, predictive_accuracy: 0.8031, prior_entropy: 0.9949, recall: 0.8031, relative_absolute_error: 0.6268, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7641, scimark_benchmark: 1324.7884, usercpu_time_millis: 490, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7871, kappa: 0.571, kb_relative_information_score: 253.6441, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7943, predictive_accuracy: 0.7898, prior_entropy: 0.9949, recall: 0.7898, relative_absolute_error: 0.4398, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9014, scimark_benchmark: 1338.5214, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7882, kappa: 0.5741, kb_relative_information_score: 255.2086, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8003, predictive_accuracy: 0.792, prior_entropy: 0.9949, recall: 0.792, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8784, scimark_benchmark: 1324.6442, usercpu_time_millis: 310, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7882, kappa: 0.5741, kb_relative_information_score: 255.2086, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8003, predictive_accuracy: 0.792, prior_entropy: 0.9949, recall: 0.792, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8784, scimark_benchmark: 1324.6442, usercpu_time_millis: 410, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.802, kappa: 0.6005, kb_relative_information_score: 186.002, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8039, predictive_accuracy: 0.8031, prior_entropy: 0.9949, recall: 0.8031, relative_absolute_error: 0.6268, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7641, scimark_benchmark: 1324.6442, usercpu_time_millis: 650, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.7107, kappa: 0.4199, kb_relative_information_score: 160.064, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7132, predictive_accuracy: 0.7102, prior_entropy: 0.9949, recall: 0.7102, relative_absolute_error: 0.6647, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.8741, scimark_benchmark: 1339.2472, usercpu_time_millis: 870, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.7801, kappa: 0.5563, kb_relative_information_score: 229.5213, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.781, predictive_accuracy: 0.781, prior_entropy: 0.9949, recall: 0.781, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8747, scimark_benchmark: 1343.7262, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7871, kappa: 0.571, kb_relative_information_score: 253.6441, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7943, predictive_accuracy: 0.7898, prior_entropy: 0.9949, recall: 0.7898, relative_absolute_error: 0.4398, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9014, scimark_benchmark: 1313.11, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7882, kappa: 0.5741, kb_relative_information_score: 255.2086, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8003, predictive_accuracy: 0.792, prior_entropy: 0.9949, recall: 0.792, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8784, scimark_benchmark: 1318.4315, usercpu_time_millis: 300, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7882, kappa: 0.5741, kb_relative_information_score: 255.2086, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8003, predictive_accuracy: 0.792, prior_entropy: 0.9949, recall: 0.792, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8784, scimark_benchmark: 1310.6554, usercpu_time_millis: 340, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7882, kappa: 0.5741, kb_relative_information_score: 255.2086, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8003, predictive_accuracy: 0.792, prior_entropy: 0.9949, recall: 0.792, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8784, scimark_benchmark: 1337.9552, usercpu_time_millis: 360, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.7107, kappa: 0.4199, kb_relative_information_score: 160.064, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7132, predictive_accuracy: 0.7102, prior_entropy: 0.9949, recall: 0.7102, relative_absolute_error: 0.6647, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.8741, scimark_benchmark: 1354.5533, usercpu_time_millis: 840, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7882, kappa: 0.5741, kb_relative_information_score: 255.2086, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8003, predictive_accuracy: 0.792, prior_entropy: 0.9949, recall: 0.792, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8784, scimark_benchmark: 1343.3311, usercpu_time_millis: 330, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.8031, kappa: 0.6031, kb_relative_information_score: 151.9319, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8093, predictive_accuracy: 0.8053, prior_entropy: 0.9949, recall: 0.8053, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7873, scimark_benchmark: 1316.5396, usercpu_time_millis: 370, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.7801, kappa: 0.5563, kb_relative_information_score: 229.5213, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.781, predictive_accuracy: 0.781, prior_entropy: 0.9949, recall: 0.781, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8747, scimark_benchmark: 1385.8862, usercpu_time_millis: 80, usercpu_time_millis_training: 80,

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