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Supervised Classification on fri_c0_500_5

Supervised Classification on fri_c0_500_5

Task 3747 Supervised Classification fri_c0_500_5 564 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8151, kappa: 0.6318, kb_relative_information_score: 237.1101, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8219, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.727, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8151, kappa: 0.6318, kb_relative_information_score: 237.1101, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8219, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.727, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8157, kappa: 0.6319, kb_relative_information_score: 240.3661, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.818, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7239, scimark_benchmark: 1312.0581, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8112, kappa: 0.6238, kb_relative_information_score: 226.2768, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8171, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.5806, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7327, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8151, kappa: 0.6318, kb_relative_information_score: 237.1101, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8219, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.727, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.838, kappa: 0.676, kb_relative_information_score: 283.4009, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.838, predictive_accuracy: 0.838, prior_entropy: 1, recall: 0.838, relative_absolute_error: 0.4618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6622, scimark_benchmark: 1322.7383, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.854, kappa: 0.708, kb_relative_information_score: 299.2445, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.854, predictive_accuracy: 0.854, prior_entropy: 1, recall: 0.854, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.625, scimark_benchmark: 1311.9814, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8151, kappa: 0.6318, kb_relative_information_score: 237.1101, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8219, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.727, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8151, kappa: 0.6318, kb_relative_information_score: 237.1101, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8219, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.727, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8151, kappa: 0.6318, kb_relative_information_score: 237.1101, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8219, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.727, scimark_benchmark: 1343.4596, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.854, kappa: 0.708, kb_relative_information_score: 299.2445, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.854, predictive_accuracy: 0.854, prior_entropy: 1, recall: 0.854, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.625, scimark_benchmark: 1312.0581, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 224.4139, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7171, scimark_benchmark: 1345.7204, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 224.4139, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7171, scimark_benchmark: 1328.941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 224.4139, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7171, scimark_benchmark: 1309.4998, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.83, kappa: 0.66, kb_relative_information_score: 280.9031, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8301, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.4616, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.6787, scimark_benchmark: 1311.9814, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.8109, kappa: 0.6238, kb_relative_information_score: 242.47, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8193, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.548, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7694, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 224.4139, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7171, scimark_benchmark: 1343.2125, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.85, kappa: 0.7, kb_relative_information_score: 330.5183, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8501, predictive_accuracy: 0.85, prior_entropy: 1, recall: 0.85, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7161, scimark_benchmark: 1337.8643, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 346.0036, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8601, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.3146, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6528, scimark_benchmark: 1337.5749, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8151, kappa: 0.6318, kb_relative_information_score: 237.1101, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8219, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.727, scimark_benchmark: 1341.4232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.8109, kappa: 0.6238, kb_relative_information_score: 242.47, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8193, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.548, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7694, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 224.4139, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7171, scimark_benchmark: 883.2709, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.82, kappa: 0.64, kb_relative_information_score: 292.9348, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8201, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.4332, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.7831, scimark_benchmark: 898.1296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.868, kappa: 0.736, kb_relative_information_score: 308.4674, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.868, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6268, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 270.8663, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.832, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.4843, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.6995, scimark_benchmark: 944.0517, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.814, kappa: 0.628, kb_relative_information_score: 302.6753, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.814, predictive_accuracy: 0.814, prior_entropy: 1, recall: 0.814, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7315, scimark_benchmark: 943.1756, usercpu_time_millis: 1910, usercpu_time_millis_testing: 1910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.848, kappa: 0.696, kb_relative_information_score: 291.5208, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4393, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6724, scimark_benchmark: 1308.3432, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.8109, kappa: 0.6238, kb_relative_information_score: 242.47, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8193, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.548, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7694, scimark_benchmark: 1316.5986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4022, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.49, predictive_accuracy: 0.498, prior_entropy: 1, recall: 0.498, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.8159, kappa: 0.6321, kb_relative_information_score: 267.2174, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.817, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.491, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7855, scimark_benchmark: 1328.941, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 224.4139, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7171, scimark_benchmark: 1168.3268, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.8539, kappa: 0.7079, kb_relative_information_score: 178.1711, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8547, predictive_accuracy: 0.854, prior_entropy: 1, recall: 0.854, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7454, scimark_benchmark: 1334.4761, usercpu_time_millis: 240, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.8459, kappa: 0.6919, kb_relative_information_score: 180.8793, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8466, predictive_accuracy: 0.846, prior_entropy: 1, recall: 0.846, relative_absolute_error: 0.6901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7425, scimark_benchmark: 1329.8902, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.864, kappa: 0.728, kb_relative_information_score: 344.7076, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.864, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.3204, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6265, scimark_benchmark: 1325.0605, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.876, kappa: 0.752, kb_relative_information_score: 335.1076, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.876, predictive_accuracy: 0.876, prior_entropy: 1, recall: 0.876, relative_absolute_error: 0.3463, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.6134, scimark_benchmark: 1349.1028, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.866, kappa: 0.732, kb_relative_information_score: 279.8448, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8661, predictive_accuracy: 0.866, prior_entropy: 1, recall: 0.866, relative_absolute_error: 0.4733, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6459, scimark_benchmark: 1311.1837, usercpu_time_millis: 230, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.856, kappa: 0.712, kb_relative_information_score: 280.034, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8563, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6473, scimark_benchmark: 1307.3764, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.85, kappa: 0.7, kb_relative_information_score: 280.0172, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 1, recall: 0.85, relative_absolute_error: 0.471, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.325, root_relative_squared_error: 0.65, scimark_benchmark: 1322.7383, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.858, kappa: 0.716, kb_relative_information_score: 282.3987, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8583, predictive_accuracy: 0.858, prior_entropy: 1, recall: 0.858, relative_absolute_error: 0.4667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6518, scimark_benchmark: 1310.6407, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.8099, kappa: 0.6199, kb_relative_information_score: 284.6276, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8104, predictive_accuracy: 0.81, prior_entropy: 1, recall: 0.81, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8339, scimark_benchmark: 1332.4106, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.8099, kappa: 0.6199, kb_relative_information_score: 284.6276, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8104, predictive_accuracy: 0.81, prior_entropy: 1, recall: 0.81, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8339, scimark_benchmark: 1360.2771,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.866, kappa: 0.732, kb_relative_information_score: 289.223, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.866, predictive_accuracy: 0.866, prior_entropy: 1, recall: 0.866, relative_absolute_error: 0.4505, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.6446, scimark_benchmark: 887.6719, usercpu_time_millis: 2290, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8899, kappa: 0.78, kb_relative_information_score: 389.9974, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8907, predictive_accuracy: 0.89, prior_entropy: 1, recall: 0.89, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6633, scimark_benchmark: 918.6491, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8112, kappa: 0.6238, kb_relative_information_score: 226.2768, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8171, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.5806, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7327, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8131, kappa: 0.6278, kb_relative_information_score: 245.4819, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8195, predictive_accuracy: 0.814, prior_entropy: 1, recall: 0.814, relative_absolute_error: 0.5378, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.7253, scimark_benchmark: 1331.6907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8157, kappa: 0.6319, kb_relative_information_score: 240.3661, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.818, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7239, scimark_benchmark: 924.932, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.854, kappa: 0.708, kb_relative_information_score: 299.2445, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.854, predictive_accuracy: 0.854, prior_entropy: 1, recall: 0.854, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.625, scimark_benchmark: 1280.6952, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.79, kappa: 0.58, kb_relative_information_score: 289.9951, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.79, predictive_accuracy: 0.79, prior_entropy: 1, recall: 0.79, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9165, scimark_benchmark: 1346.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.8038, kappa: 0.6079, kb_relative_information_score: 250.0363, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8049, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.5264, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.7929, scimark_benchmark: 1066.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.826, kappa: 0.652, kb_relative_information_score: 290.504, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8263, predictive_accuracy: 0.826, prior_entropy: 1, recall: 0.826, relative_absolute_error: 0.4405, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.386, root_relative_squared_error: 0.772, scimark_benchmark: 1290.1085, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7933, kappa: 0.5882, kb_relative_information_score: 293.9952, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.7987, predictive_accuracy: 0.794, prior_entropy: 1, recall: 0.794, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9078, scimark_benchmark: 1372.2145, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.6771, kappa: 0.3932, kb_relative_information_score: 195.993, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.7577, predictive_accuracy: 0.696, prior_entropy: 1, recall: 0.696, relative_absolute_error: 0.608, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1027, scimark_benchmark: 1280.6952, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.8139, kappa: 0.6279, kb_relative_information_score: 281.5045, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8144, predictive_accuracy: 0.814, prior_entropy: 1, recall: 0.814, relative_absolute_error: 0.4529, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7873, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.68, kappa: 0.36, kb_relative_information_score: 179.9926, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.68, predictive_accuracy: 0.68, prior_entropy: 1, recall: 0.68, relative_absolute_error: 0.64, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1314, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.8058, kappa: 0.6121, kb_relative_information_score: 305.9955, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8072, predictive_accuracy: 0.806, prior_entropy: 1, recall: 0.806, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8809, scimark_benchmark: 1353.5686, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4022, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.49, predictive_accuracy: 0.498, prior_entropy: 1, recall: 0.498, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1445.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8259, kappa: 0.6519, kb_relative_information_score: 299.2206, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8268, predictive_accuracy: 0.826, prior_entropy: 1, recall: 0.826, relative_absolute_error: 0.4171, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8006, scimark_benchmark: 1605.6303, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.848, kappa: 0.696, kb_relative_information_score: 345.5111, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.745, scimark_benchmark: 927.0753, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.864, kappa: 0.728, kb_relative_information_score: 362.9407, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.864, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.2762, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.6811, scimark_benchmark: 945.6434, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.85, kappa: 0.7, kb_relative_information_score: 334.6463, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 1, recall: 0.85, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6593, scimark_benchmark: 941.7954, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.848, kappa: 0.696, kb_relative_information_score: 327.3523, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.3551, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.6596, scimark_benchmark: 923.7642, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,

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