Task
Supervised Classification on heart-statlog

Supervised Classification on heart-statlog

Task 52 Supervised Classification heart-statlog 887 runs submitted
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  • basic mythbusting mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_29 study_30 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.8222, kappa: 0.64, kb_relative_information_score: 172.2577, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8222, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8485, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.8034, kappa: 0.6015, kb_relative_information_score: 141.9576, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8034, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.497, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8136, scimark_benchmark: 1744.8652, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.8291, kappa: 0.6533, kb_relative_information_score: 152.0919, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8294, predictive_accuracy: 0.8296, prior_entropy: 0.9912, recall: 0.8296, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7141, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.7223, kappa: 0.438, kb_relative_information_score: 116.5833, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7225, predictive_accuracy: 0.7222, prior_entropy: 0.9912, recall: 0.7222, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5249, root_relative_squared_error: 1.0564, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.7998, kappa: 0.5943, kb_relative_information_score: 151.1719, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9912, recall: 0.8, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7718, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7917, kappa: 0.5772, kb_relative_information_score: 122.6767, mean_absolute_error: 0.2849, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7922, predictive_accuracy: 0.7926, prior_entropy: 0.9912, recall: 0.7926, relative_absolute_error: 0.5768, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8305, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.7446, kappa: 0.4814, kb_relative_information_score: 112.4396, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7495, predictive_accuracy: 0.7481, prior_entropy: 0.9912, recall: 0.7481, relative_absolute_error: 0.6034, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8451, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.8251, kappa: 0.6448, kb_relative_information_score: 130.8087, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8261, predictive_accuracy: 0.8259, prior_entropy: 0.9912, recall: 0.8259, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7272, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.837, kappa: 0.67, kb_relative_information_score: 174.4226, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9912, recall: 0.837, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7368, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.7917, kappa: 0.5772, kb_relative_information_score: 142.9092, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7922, predictive_accuracy: 0.7926, prior_entropy: 0.9912, recall: 0.7926, relative_absolute_error: 0.4853, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.856, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8331, kappa: 0.6617, kb_relative_information_score: 171.1055, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8331, predictive_accuracy: 0.8333, prior_entropy: 0.9912, recall: 0.8333, relative_absolute_error: 0.3753, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7282, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.8293, kappa: 0.6538, kb_relative_information_score: 176.3289, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8294, predictive_accuracy: 0.8296, prior_entropy: 0.9912, recall: 0.8296, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8307, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.8222, kappa: 0.64, kb_relative_information_score: 172.2577, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8222, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8485, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.8034, kappa: 0.6015, kb_relative_information_score: 141.9583, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8034, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.497, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8136, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.8291, kappa: 0.6533, kb_relative_information_score: 152.0919, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8294, predictive_accuracy: 0.8296, prior_entropy: 0.9912, recall: 0.8296, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7141, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.7223, kappa: 0.438, kb_relative_information_score: 116.5833, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7225, predictive_accuracy: 0.7222, prior_entropy: 0.9912, recall: 0.7222, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5249, root_relative_squared_error: 1.0564, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.7998, kappa: 0.5943, kb_relative_information_score: 151.1719, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9912, recall: 0.8, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7718, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.774, kappa: 0.5421, kb_relative_information_score: 118.2773, mean_absolute_error: 0.2907, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7739, predictive_accuracy: 0.7741, prior_entropy: 0.9912, recall: 0.7741, relative_absolute_error: 0.5885, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8539, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.7464, kappa: 0.4848, kb_relative_information_score: 109.3044, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7476, predictive_accuracy: 0.7481, prior_entropy: 0.9912, recall: 0.7481, relative_absolute_error: 0.6165, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.848, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8181, kappa: 0.631, kb_relative_information_score: 131.8269, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8182, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7209, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.837, kappa: 0.67, kb_relative_information_score: 174.4226, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9912, recall: 0.837, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7368, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.7917, kappa: 0.5772, kb_relative_information_score: 142.9092, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7922, predictive_accuracy: 0.7926, prior_entropy: 0.9912, recall: 0.7926, relative_absolute_error: 0.4853, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.856, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.7998, kappa: 0.5943, kb_relative_information_score: 151.1719, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9912, recall: 0.8, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7718, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.8034, kappa: 0.6015, kb_relative_information_score: 141.964, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8034, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.497, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8136, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8184, kappa: 0.6322, kb_relative_information_score: 141.4963, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8184, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.497, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7672, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.803, kappa: 0.6002, kb_relative_information_score: 128.6696, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8034, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8057, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.7983, kappa: 0.5902, kb_relative_information_score: 137.786, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.801, predictive_accuracy: 0.8, prior_entropy: 0.9912, recall: 0.8, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7958, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.8217, kappa: 0.6382, kb_relative_information_score: 141.5192, mean_absolute_error: 0.2475, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7365, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8329, kappa: 0.6611, kb_relative_information_score: 178.3644, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8331, predictive_accuracy: 0.8333, prior_entropy: 0.9912, recall: 0.8333, relative_absolute_error: 0.3375, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8216, scimark_benchmark: 1283.5975, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.8181, kappa: 0.631, kb_relative_information_score: 170.2222, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8182, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.426, root_relative_squared_error: 0.8573, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.785, kappa: 0.5643, kb_relative_information_score: 121.1424, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7849, predictive_accuracy: 0.7852, prior_entropy: 0.9912, recall: 0.7852, relative_absolute_error: 0.5818, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8301, scimark_benchmark: 874.7097, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.747, kappa: 0.4868, kb_relative_information_score: 131.4656, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7557, predictive_accuracy: 0.7519, prior_entropy: 0.9912, recall: 0.7519, relative_absolute_error: 0.5133, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8799, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.7505, kappa: 0.497, kb_relative_information_score: 125.9746, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7735, predictive_accuracy: 0.7593, prior_entropy: 0.9912, recall: 0.7593, relative_absolute_error: 0.5307, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.8883, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.7983, kappa: 0.5902, kb_relative_information_score: 129.3049, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.801, predictive_accuracy: 0.8, prior_entropy: 0.9912, recall: 0.8, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7852, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.8096, kappa: 0.6133, kb_relative_information_score: 131.837, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.812, predictive_accuracy: 0.8111, prior_entropy: 0.9912, recall: 0.8111, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.767, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.8145, kappa: 0.6237, kb_relative_information_score: 139.3809, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8145, predictive_accuracy: 0.8148, prior_entropy: 0.9912, recall: 0.8148, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7734, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.7848, kappa: 0.5635, kb_relative_information_score: 134.0948, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7847, predictive_accuracy: 0.7852, prior_entropy: 0.9912, recall: 0.7852, relative_absolute_error: 0.5138, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.804, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.8066, kappa: 0.6074, kb_relative_information_score: 164.1155, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8072, predictive_accuracy: 0.8074, prior_entropy: 0.9912, recall: 0.8074, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8832,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8329, kappa: 0.6611, kb_relative_information_score: 178.3644, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8331, predictive_accuracy: 0.8333, prior_entropy: 0.9912, recall: 0.8333, relative_absolute_error: 0.3375, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8216, usercpu_time_millis: 0.592, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.8333, kappa: 0.6622, kb_relative_information_score: 178.3644, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8332, predictive_accuracy: 0.8333, prior_entropy: 0.9912, recall: 0.8333, relative_absolute_error: 0.3375, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8216, usercpu_time_millis: 0.174, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.8291, kappa: 0.6533, kb_relative_information_score: 176.3289, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8294, predictive_accuracy: 0.8296, prior_entropy: 0.9912, recall: 0.8296, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8307, usercpu_time_millis: 6.307, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 6.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7983, kappa: 0.5902, kb_relative_information_score: 160.0444, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.801, predictive_accuracy: 0.8, prior_entropy: 0.9912, recall: 0.8, relative_absolute_error: 0.405, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9, usercpu_time_millis: 34.258, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 33.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.7699, kappa: 0.5334, kb_relative_information_score: 143.76, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7698, predictive_accuracy: 0.7704, prior_entropy: 0.9912, recall: 0.7704, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.9644, usercpu_time_millis: 2.241, usercpu_time_millis_testing: 0.751, usercpu_time_millis_training: 1.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.7609, kappa: 0.5143, kb_relative_information_score: 139.6888, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7631, predictive_accuracy: 0.763, prior_entropy: 0.9912, recall: 0.763, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9798, usercpu_time_millis: 1.375, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 1.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.7221, kappa: 0.437, kb_relative_information_score: 117.2977, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.722, predictive_accuracy: 0.7222, prior_entropy: 0.9912, recall: 0.7222, relative_absolute_error: 0.5624, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.527, root_relative_squared_error: 1.0607, usercpu_time_millis: 1.861, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 1.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5317, f_measure: 0.4681, kappa: 0.0695, kb_relative_information_score: 39.9466, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.6596, predictive_accuracy: 0.5815, prior_entropy: 0.9912, recall: 0.5815, relative_absolute_error: 0.8474, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6469, root_relative_squared_error: 1.3019, usercpu_time_millis: 0.24, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5034, kb_relative_information_score: 7.3777, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.5062, predictive_accuracy: 0.5222, prior_entropy: 0.9912, recall: 0.5222, relative_absolute_error: 0.9674, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.391, usercpu_time_millis: 0.094, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.837, kappa: 0.67, kb_relative_information_score: 180.4, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9912, recall: 0.837, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8124, usercpu_time_millis: 0.574, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 0.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.8291, kappa: 0.6533, kb_relative_information_score: 176.3289, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8294, predictive_accuracy: 0.8296, prior_entropy: 0.9912, recall: 0.8296, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8307, usercpu_time_millis: 0.179, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4542, kb_relative_information_score: 19.591, mean_absolute_error: 0.4556, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.5062, predictive_accuracy: 0.5444, prior_entropy: 0.9912, recall: 0.5444, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6749, root_relative_squared_error: 1.3583, usercpu_time_millis: 10.037, usercpu_time_millis_testing: 0.98, usercpu_time_millis_training: 9.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 172.2577, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8485, usercpu_time_millis: 0.938, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8329, kappa: 0.6611, kb_relative_information_score: 178.3644, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8331, predictive_accuracy: 0.8333, prior_entropy: 0.9912, recall: 0.8333, relative_absolute_error: 0.3375, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8216, usercpu_time_millis: 0.561, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.8291, kappa: 0.6533, kb_relative_information_score: 176.3289, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8294, predictive_accuracy: 0.8296, prior_entropy: 0.9912, recall: 0.8296, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8307, usercpu_time_millis: 0.563, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.84, kappa: 0.6751, kb_relative_information_score: 182.4355, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8411, predictive_accuracy: 0.8407, prior_entropy: 0.9912, recall: 0.8407, relative_absolute_error: 0.3225, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8031, usercpu_time_millis: 0.063, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8329, kappa: 0.6611, kb_relative_information_score: 178.3644, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8331, predictive_accuracy: 0.8333, prior_entropy: 0.9912, recall: 0.8333, relative_absolute_error: 0.3375, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8216, usercpu_time_millis: 0.209, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.8365, kappa: 0.6683, kb_relative_information_score: 180.4, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8369, predictive_accuracy: 0.837, prior_entropy: 0.9912, recall: 0.837, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8124, usercpu_time_millis: 0.158, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.807, kappa: 0.6087, kb_relative_information_score: 164.1155, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.807, predictive_accuracy: 0.8074, prior_entropy: 0.9912, recall: 0.8074, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8832, usercpu_time_millis: 0.226, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 0.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.8253, kappa: 0.6454, kb_relative_information_score: 174.2933, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8258, predictive_accuracy: 0.8259, prior_entropy: 0.9912, recall: 0.8259, relative_absolute_error: 0.3525, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8396, usercpu_time_millis: 0.373, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7843, kappa: 0.5621, kb_relative_information_score: 151.9022, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7848, predictive_accuracy: 0.7852, prior_entropy: 0.9912, recall: 0.7852, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9327, usercpu_time_millis: 2.929, usercpu_time_millis_testing: 1.049, usercpu_time_millis_training: 1.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.8063, kappa: 0.6067, kb_relative_information_score: 164.1155, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8075, predictive_accuracy: 0.8074, prior_entropy: 0.9912, recall: 0.8074, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8832, usercpu_time_millis: 2.328, usercpu_time_millis_testing: 0.695, usercpu_time_millis_training: 1.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.8365, kappa: 0.6683, kb_relative_information_score: 180.4, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8369, predictive_accuracy: 0.837, prior_entropy: 0.9912, recall: 0.837, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8124, usercpu_time_millis: 0.157, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.7223, kappa: 0.438, kb_relative_information_score: 117.2977, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7225, predictive_accuracy: 0.7222, prior_entropy: 0.9912, recall: 0.7222, relative_absolute_error: 0.5624, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.527, root_relative_squared_error: 1.0607, usercpu_time_millis: 1.87, usercpu_time_millis_testing: 0.695, usercpu_time_millis_training: 1.175,

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