Task
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: 0.5, 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: 1286.0816, usercpu_time_millis: 920, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 380,
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: 1317.2327, usercpu_time_millis: 260, usercpu_time_millis_testing: 190, 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: 1342.9012, usercpu_time_millis: 280, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 70,
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: 1330.0291, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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: 1334.9442, usercpu_time_millis: 300, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, 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: 1325.6322, usercpu_time_millis: 52510, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 52440,
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: 1325.6322, usercpu_time_millis: 410, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 390,
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: 1341.5795, usercpu_time_millis: 840, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 590,
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: 1371.9645, usercpu_time_millis: 520, usercpu_time_millis_training: 520,
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: 1322.7257, usercpu_time_millis: 310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 290,
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: 1347.993, usercpu_time_millis: 380, usercpu_time_millis_testing: 300, 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: 938.0414, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, 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: 1322.7257, usercpu_time_millis: 310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 290,
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: 0.8738, 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: 1342.2845, usercpu_time_millis: 590, usercpu_time_millis_training: 590,
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: 1309.2287, usercpu_time_millis: 340, usercpu_time_millis_testing: 240, 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: 1337.1928, usercpu_time_millis: 330, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, 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,
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: 0.8479, 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: 1323.5075, usercpu_time_millis: 320, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 90,
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: 1319.4538, usercpu_time_millis: 320, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 90,
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: 1342.8584, usercpu_time_millis: 930, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 920,
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: 1309.2287, usercpu_time_millis: 1830, usercpu_time_millis_testing: 1430, usercpu_time_millis_training: 400,
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: 0.8098, 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: 0.8479, 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: 0.8316, 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: 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: 0.8479, 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: 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: 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,
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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: 0.7993, 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: 0.8098, 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: 0.7599, f_measure: 0.7628, kappa: 0.5216, kb_relative_information_score: 235.8006, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7629, predictive_accuracy: 0.7633, prior_entropy: 0.9949, recall: 0.7633, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.9765, scimark_benchmark: 1870.7932, usercpu_time_millis: 93.6006, usercpu_time_millis_training: 93.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7047, kappa: 0.4224, kb_relative_information_score: 169.3011, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7633, predictive_accuracy: 0.7235, prior_entropy: 0.9949, recall: 0.7235, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.8919, scimark_benchmark: 1873.1108, usercpu_time_millis: 296.875, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7587, kappa: 0.5137, kb_relative_information_score: 185.5945, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7586, predictive_accuracy: 0.7589, prior_entropy: 0.9949, recall: 0.7589, relative_absolute_error: 0.6151, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8803, scimark_benchmark: 1870.7932, usercpu_time_millis: 234.0015, usercpu_time_millis_training: 234.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.7422, kappa: 0.4847, kb_relative_information_score: 210.5312, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7643, predictive_accuracy: 0.75, prior_entropy: 0.9949, recall: 0.75, relative_absolute_error: 0.5401, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.5931, kappa: 0.2286, kb_relative_information_score: 90.9889, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.6759, predictive_accuracy: 0.635, prior_entropy: 0.9949, recall: 0.635, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.7595, kappa: 0.5179, kb_relative_information_score: 184.2474, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7772, predictive_accuracy: 0.7655, prior_entropy: 0.9949, recall: 0.7655, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.5359, kappa: 0.1657, kb_relative_information_score: 79.6453, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.6972, predictive_accuracy: 0.6106, prior_entropy: 0.9949, recall: 0.6106, relative_absolute_error: 0.8365, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0017, scimark_benchmark: 1873.1108, usercpu_time_millis: 437.5, usercpu_time_millis_testing: 437.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7501, f_measure: 0.7447, kappa: 0.485, kb_relative_information_score: 173.1993, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7451, predictive_accuracy: 0.7456, prior_entropy: 0.9949, recall: 0.7456, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9115, scimark_benchmark: 1870.7932, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.5994, kappa: 0.2316, kb_relative_information_score: 117.6032, mean_absolute_error: 0.3666, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.6648, predictive_accuracy: 0.635, prior_entropy: 0.9949, recall: 0.635, relative_absolute_error: 0.7384, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5838, root_relative_squared_error: 1.1718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6623, f_measure: 0.5994, kappa: 0.2316, kb_relative_information_score: 90.2969, mean_absolute_error: 0.4028, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.6648, predictive_accuracy: 0.635, prior_entropy: 0.9949, recall: 0.635, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.0197, scimark_benchmark: 1873.1108, usercpu_time_millis: 343.75, usercpu_time_millis_testing: 343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.7633, kappa: 0.5263, kb_relative_information_score: 241.9878, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7844, predictive_accuracy: 0.7699, prior_entropy: 0.9949, recall: 0.7699, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9508, scimark_benchmark: 1870.7932, usercpu_time_millis: 249.6016, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 234.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7141, kappa: 0.4347, kb_relative_information_score: 200.8828, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7541, predictive_accuracy: 0.7279, prior_entropy: 0.9949, recall: 0.7279, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9478,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.7819, kappa: 0.563, kb_relative_information_score: 256.2526, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.8025, predictive_accuracy: 0.7876, prior_entropy: 0.9949, recall: 0.7876, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9089,
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: 0.7994, f_measure: 0.6981, kappa: 0.4153, kb_relative_information_score: 156.9736, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7755, predictive_accuracy: 0.7212, prior_entropy: 0.9949, recall: 0.7212, relative_absolute_error: 0.6735, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.8898, scimark_benchmark: 1447.2612, usercpu_time_millis: 375, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6256, f_measure: 0.628, kappa: 0.2541, kb_relative_information_score: 101.3968, mean_absolute_error: 0.3887, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.6378, predictive_accuracy: 0.6372, prior_entropy: 0.9949, recall: 0.6372, relative_absolute_error: 0.7828, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5491, root_relative_squared_error: 1.1021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.7747, kappa: 0.5469, kb_relative_information_score: 249.9432, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7863, predictive_accuracy: 0.7788, prior_entropy: 0.9949, recall: 0.7788, relative_absolute_error: 0.4456, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9441, scimark_benchmark: 1561.3582, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.7503, kappa: 0.4978, kb_relative_information_score: 174.321, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7509, predictive_accuracy: 0.75, prior_entropy: 0.9949, recall: 0.75, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9066, scimark_benchmark: 915.4833, usercpu_time_millis: 460, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.6626, kappa: 0.3493, kb_relative_information_score: 186.0522, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7383, predictive_accuracy: 0.6903, prior_entropy: 0.9949, recall: 0.6903, relative_absolute_error: 0.587, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.467, root_relative_squared_error: 0.9374, scimark_benchmark: 1840.6094, usercpu_time_millis: 312.5, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7755, kappa: 0.547, kb_relative_information_score: 248.6926, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7767, predictive_accuracy: 0.7765, prior_entropy: 0.9949, recall: 0.7765, relative_absolute_error: 0.4474, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9014,
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: 0.7739, 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: 0.9067, 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,

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

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From your own software

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

OpenML APIs