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Supervised Classification on mfeat-factors

Supervised Classification on mfeat-factors

Task 242 Supervised Classification mfeat-factors 308 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9774, kappa: 0.9747, kb_relative_information_score: 644.6432, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9782, predictive_accuracy: 0.9773, prior_entropy: 3.3219, recall: 0.9773, relative_absolute_error: 0.0255, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.2209, scimark_benchmark: 1260.1387, usercpu_time_millis: 6390, usercpu_time_millis_testing: 5670, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9774, kappa: 0.9747, kb_relative_information_score: 644.6432, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9782, predictive_accuracy: 0.9773, prior_entropy: 3.3219, recall: 0.9773, relative_absolute_error: 0.0255, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.2209, scimark_benchmark: 1354.3488, usercpu_time_millis: 6750, usercpu_time_millis_testing: 5960, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9774, kappa: 0.9747, kb_relative_information_score: 644.6432, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9782, predictive_accuracy: 0.9773, prior_entropy: 3.3219, recall: 0.9773, relative_absolute_error: 0.0255, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.2209, scimark_benchmark: 1322.7257, usercpu_time_millis: 6770, usercpu_time_millis_testing: 6040, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9682, kappa: 0.9646, kb_relative_information_score: 586.9998, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9687, predictive_accuracy: 0.9682, prior_entropy: 3.3219, recall: 0.9682, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.3283, scimark_benchmark: 1322.7257, usercpu_time_millis: 1430, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.8104, kappa: 0.7878, kb_relative_information_score: 531.7898, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8183, predictive_accuracy: 0.8091, prior_entropy: 3.3219, recall: 0.8091, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.5975, scimark_benchmark: 1384.4422, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9774, kappa: 0.9747, kb_relative_information_score: 644.6432, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9782, predictive_accuracy: 0.9773, prior_entropy: 3.3219, recall: 0.9773, relative_absolute_error: 0.0255, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.2209, scimark_benchmark: 918.0213, usercpu_time_millis: 7860, usercpu_time_millis_testing: 6680, usercpu_time_millis_training: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9774, kappa: 0.9747, kb_relative_information_score: 644.6432, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9782, predictive_accuracy: 0.9773, prior_entropy: 3.3219, recall: 0.9773, relative_absolute_error: 0.0255, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.2209, scimark_benchmark: 1288.1375, usercpu_time_millis: 9460, usercpu_time_millis_testing: 8340, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9396, kappa: 0.9326, kb_relative_information_score: 618.6747, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9417, predictive_accuracy: 0.9394, prior_entropy: 3.3219, recall: 0.9394, relative_absolute_error: 0.0676, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.3626, scimark_benchmark: 1345.7204, usercpu_time_millis: 500, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.8453, kappa: 0.8283, kb_relative_information_score: 329.0633, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8637, predictive_accuracy: 0.8455, prior_entropy: 3.3219, recall: 0.8455, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.8096, scimark_benchmark: 1334.6745, usercpu_time_millis: 194430, usercpu_time_millis_testing: 194430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.0227, kappa: 0.0049, kb_relative_information_score: 32.5455, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.2999, predictive_accuracy: 0.0909, prior_entropy: 3.3219, recall: 0.0909, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.4213, scimark_benchmark: 926.6704, usercpu_time_millis: 54640, usercpu_time_millis_testing: 16710, usercpu_time_millis_training: 37930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9774, kappa: 0.9747, kb_relative_information_score: 644.6432, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9782, predictive_accuracy: 0.9773, prior_entropy: 3.3219, recall: 0.9773, relative_absolute_error: 0.0255, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.2209, scimark_benchmark: 933.1165, usercpu_time_millis: 7920, usercpu_time_millis_testing: 6870, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9774, kappa: 0.9747, kb_relative_information_score: 644.6432, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9782, predictive_accuracy: 0.9773, prior_entropy: 3.3219, recall: 0.9773, relative_absolute_error: 0.0255, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.2209, scimark_benchmark: 1312.0581, usercpu_time_millis: 6850, usercpu_time_millis_testing: 6070, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9255, kappa: 0.9174, kb_relative_information_score: 577.2539, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.927, predictive_accuracy: 0.9258, prior_entropy: 3.3219, recall: 0.9258, relative_absolute_error: 0.2225, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.3821, scimark_benchmark: 1312.0581, usercpu_time_millis: 2410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.8104, kappa: 0.7878, kb_relative_information_score: 531.7898, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8183, predictive_accuracy: 0.8091, prior_entropy: 3.3219, recall: 0.8091, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.5975, scimark_benchmark: 1345.7204, usercpu_time_millis: 260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9607, kappa: 0.9562, kb_relative_information_score: 575.6744, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9618, predictive_accuracy: 0.9606, prior_entropy: 3.3219, recall: 0.9606, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.3582, scimark_benchmark: 1342.2985, usercpu_time_millis: 18050, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 17710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9622, kappa: 0.9579, kb_relative_information_score: 576.3048, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9627, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.2396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.107, root_relative_squared_error: 0.3568, scimark_benchmark: 1347.5461, usercpu_time_millis: 4150, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 4070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8263, kappa: 0.808, kb_relative_information_score: 540.7836, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8278, predictive_accuracy: 0.8273, prior_entropy: 3.3219, recall: 0.8273, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.6195, scimark_benchmark: 1349.9917, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9788, kappa: 0.9764, kb_relative_information_score: 647.243, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.979, predictive_accuracy: 0.9788, prior_entropy: 3.3219, recall: 0.9788, relative_absolute_error: 0.0228, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1977, scimark_benchmark: 1337.5749, usercpu_time_millis: 96870, usercpu_time_millis_training: 96870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8292, kappa: 0.8096, kb_relative_information_score: 542.6406, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.834, predictive_accuracy: 0.8288, prior_entropy: 3.3219, recall: 0.8288, relative_absolute_error: 0.2016, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.5925, scimark_benchmark: 1347.388, usercpu_time_millis: 2090, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.8104, kappa: 0.7878, kb_relative_information_score: 531.7898, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8183, predictive_accuracy: 0.8091, prior_entropy: 3.3219, recall: 0.8091, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.5975, scimark_benchmark: 1371.9645, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.0508, kappa: 0.0871, kb_relative_information_score: 149.7393, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0299, predictive_accuracy: 0.1682, prior_entropy: 3.3219, recall: 0.1682, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.9661, scimark_benchmark: 1168.3268, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.8333, kappa: 0.8148, kb_relative_information_score: 527.8318, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8403, predictive_accuracy: 0.8333, prior_entropy: 3.3219, recall: 0.8333, relative_absolute_error: 0.3049, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.5148, scimark_benchmark: 1314.0383, usercpu_time_millis: 14600, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 14590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9396, kappa: 0.9326, kb_relative_information_score: 618.6747, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9417, predictive_accuracy: 0.9394, prior_entropy: 3.3219, recall: 0.9394, relative_absolute_error: 0.0676, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.3626, scimark_benchmark: 1111.828, usercpu_time_millis: 490, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.8104, kappa: 0.7878, kb_relative_information_score: 531.7898, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8183, predictive_accuracy: 0.8091, prior_entropy: 3.3219, recall: 0.8091, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.5975, scimark_benchmark: 1322.4968, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9773, kappa: 0.9747, kb_relative_information_score: 641.1608, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9776, predictive_accuracy: 0.9773, prior_entropy: 3.3219, recall: 0.9773, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.062, root_relative_squared_error: 0.2065, scimark_benchmark: 932.0242, usercpu_time_millis: 8440, usercpu_time_millis_testing: 1030, usercpu_time_millis_training: 7410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.9005, kappa: 0.8889, kb_relative_information_score: 588.2133, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9053, predictive_accuracy: 0.9, prior_entropy: 3.3219, recall: 0.9, relative_absolute_error: 0.1214, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.4688, scimark_benchmark: 932.0242, usercpu_time_millis: 1670, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9818, kappa: 0.9798, kb_relative_information_score: 638.3591, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.982, predictive_accuracy: 0.9818, prior_entropy: 3.3219, recall: 0.9818, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.2002, scimark_benchmark: 932.0242, usercpu_time_millis: 107150, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 107040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9622, kappa: 0.9579, kb_relative_information_score: 575.7505, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.963, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.3577, scimark_benchmark: 1348.8637, usercpu_time_millis: 13620, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 13400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9651, kappa: 0.9613, kb_relative_information_score: 635.9476, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9674, predictive_accuracy: 0.9652, prior_entropy: 3.3219, recall: 0.9652, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.2783, scimark_benchmark: 1330.6247, usercpu_time_millis: 3080, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9284, kappa: 0.9191, kb_relative_information_score: 41.5566, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9324, predictive_accuracy: 0.9273, prior_entropy: 3.3219, recall: 0.9273, relative_absolute_error: 0.9825, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.9831, scimark_benchmark: 1330.6247, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7048, f_measure: 0.0529, kappa: 0.0956, kb_relative_information_score: 146.5193, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0312, predictive_accuracy: 0.1758, prior_entropy: 3.3219, recall: 0.1758, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.9648, scimark_benchmark: 904.3681, usercpu_time_millis: 910, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8825, kappa: 0.8686, kb_relative_information_score: 572.0666, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8866, predictive_accuracy: 0.8818, prior_entropy: 3.3219, recall: 0.8818, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4909, scimark_benchmark: 1320.2717, usercpu_time_millis: 4220, usercpu_time_millis_training: 4220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9743, kappa: 0.9714, kb_relative_information_score: 643.8075, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9746, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.0304, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0651, root_relative_squared_error: 0.2171, scimark_benchmark: 1349.1028, usercpu_time_millis: 53130, usercpu_time_millis_training: 53130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9698, kappa: 0.9663, kb_relative_information_score: 640.5432, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9706, predictive_accuracy: 0.9697, prior_entropy: 3.3219, recall: 0.9697, relative_absolute_error: 0.0381, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0689, root_relative_squared_error: 0.2296, scimark_benchmark: 855.8522, usercpu_time_millis: 27630, usercpu_time_millis_training: 27630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9653, kappa: 0.9612, kb_relative_information_score: 636.2577, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9663, predictive_accuracy: 0.9652, prior_entropy: 3.3219, recall: 0.9652, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.072, root_relative_squared_error: 0.2401, scimark_benchmark: 1316.8289, usercpu_time_millis: 13620, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 13610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9255, kappa: 0.9174, kb_relative_information_score: 577.2539, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.927, predictive_accuracy: 0.9258, prior_entropy: 3.3219, recall: 0.9258, relative_absolute_error: 0.2225, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.3821, scimark_benchmark: 1307.3764, usercpu_time_millis: 2900, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2890,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9727, kappa: 0.9697, kb_relative_information_score: 640.0916, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.973, predictive_accuracy: 0.9727, prior_entropy: 3.3219, recall: 0.9727, relative_absolute_error: 0.0529, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0638, root_relative_squared_error: 0.2128, scimark_benchmark: 930.5999, usercpu_time_millis: 7700, usercpu_time_millis_testing: 7700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9743, kappa: 0.9714, kb_relative_information_score: 641.6384, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9745, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0644, root_relative_squared_error: 0.2145, scimark_benchmark: 889.3151, usercpu_time_millis: 6450, usercpu_time_millis_testing: 6450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9742, kappa: 0.9713, kb_relative_information_score: 196.8443, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9743, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.9081, scimark_benchmark: 1318.5526, usercpu_time_millis: 12330, usercpu_time_millis_testing: 10250, usercpu_time_millis_training: 2080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9788, kappa: 0.9764, kb_relative_information_score: 197.3004, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.979, predictive_accuracy: 0.9788, prior_entropy: 3.3219, recall: 0.9788, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.9072, scimark_benchmark: 939.449, usercpu_time_millis: 1160, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9818, kappa: 0.9798, kb_relative_information_score: 638.3591, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.982, predictive_accuracy: 0.9818, prior_entropy: 3.3219, recall: 0.9818, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.2002, scimark_benchmark: 915.9324, usercpu_time_millis: 16060, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 15990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9651, kappa: 0.9613, kb_relative_information_score: 635.9476, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9674, predictive_accuracy: 0.9652, prior_entropy: 3.3219, recall: 0.9652, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.2783, scimark_benchmark: 939.449, usercpu_time_millis: 5270, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8401, kappa: 0.8213, kb_relative_information_score: 545.7438, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.846, predictive_accuracy: 0.8394, prior_entropy: 3.3219, recall: 0.8394, relative_absolute_error: 0.1902, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.5444, scimark_benchmark: 1335.4072, usercpu_time_millis: 1232250, usercpu_time_millis_testing: 5020, usercpu_time_millis_training: 1227230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9682, kappa: 0.9646, kb_relative_information_score: 586.9998, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9687, predictive_accuracy: 0.9682, prior_entropy: 3.3219, recall: 0.9682, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.3283, scimark_benchmark: 825.5282, usercpu_time_millis: 2270, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 2150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.8499, kappa: 0.8315, kb_relative_information_score: 555.4243, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8557, predictive_accuracy: 0.8485, prior_entropy: 3.3219, recall: 0.8485, relative_absolute_error: 0.1684, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.5803, scimark_benchmark: 1321.527, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8148, kappa: 0.7913, kb_relative_information_score: 521.8696, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8334, predictive_accuracy: 0.8121, prior_entropy: 3.3219, recall: 0.8121, relative_absolute_error: 0.2621, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.5715, scimark_benchmark: 1066.7184, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.8914, kappa: 0.8787, kb_relative_information_score: 582.0246, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8935, predictive_accuracy: 0.8909, prior_entropy: 3.3219, recall: 0.8909, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.473, scimark_benchmark: 1341.5768, usercpu_time_millis: 4770, usercpu_time_millis_training: 4770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.923, kappa: 0.9141, kb_relative_information_score: 606.6664, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9272, predictive_accuracy: 0.9227, prior_entropy: 3.3219, recall: 0.9227, relative_absolute_error: 0.0859, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.4144, scimark_benchmark: 1280.6952, usercpu_time_millis: 4390, usercpu_time_millis_testing: 1860, usercpu_time_millis_training: 2530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, f_measure: 0.0328, kappa: 0.0052, kb_relative_information_score: 52.4149, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.3057, predictive_accuracy: 0.1197, prior_entropy: 3.3219, recall: 0.1197, relative_absolute_error: 0.9781, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4196, root_relative_squared_error: 1.3987, scimark_benchmark: 1368.9272, usercpu_time_millis: 8720, usercpu_time_millis_testing: 1810, usercpu_time_millis_training: 6910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.902, kappa: 0.8904, kb_relative_information_score: 590.7748, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9051, predictive_accuracy: 0.9015, prior_entropy: 3.3219, recall: 0.9015, relative_absolute_error: 0.1172, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.4589, scimark_benchmark: 1341.2341, usercpu_time_millis: 1150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.3557, kappa: 0.2876, kb_relative_information_score: 216.5988, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.3742, predictive_accuracy: 0.3576, prior_entropy: 3.3219, recall: 0.3576, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3584, root_relative_squared_error: 1.1948, scimark_benchmark: 1465.2979, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8855, kappa: 0.8721, kb_relative_information_score: 580.5224, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8917, predictive_accuracy: 0.8848, prior_entropy: 3.3219, recall: 0.8848, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.5059, scimark_benchmark: 1028.5889, usercpu_time_millis: 78120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 78110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0137, kb_relative_information_score: 3.8825, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0075, predictive_accuracy: 0.0864, prior_entropy: 3.3219, recall: 0.0864, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0006, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.8976, kappa: 0.8855, kb_relative_information_score: 584.564, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8999, predictive_accuracy: 0.897, prior_entropy: 3.3219, recall: 0.897, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.4715, scimark_benchmark: 1066.833, usercpu_time_millis: 820, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, build_cpu_time: 36.057, build_memory: 1109285320, f_measure: 0.9803, kappa: 0.9781, kb_relative_information_score: 646.4051, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9806, predictive_accuracy: 0.9803, prior_entropy: 3.3219, recall: 0.9803, relative_absolute_error: 0.0219, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0628, root_relative_squared_error: 0.2092, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, build_cpu_time: 18.951, build_memory: 1194130664, f_measure: 0.9773, kappa: 0.9747, kb_relative_information_score: 644.313, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9774, predictive_accuracy: 0.9773, prior_entropy: 3.3219, recall: 0.9773, relative_absolute_error: 0.0253, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0674, root_relative_squared_error: 0.2247, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, build_cpu_time: 9.397, build_memory: 1127287592, f_measure: 0.9803, kappa: 0.9781, kb_relative_information_score: 646.2904, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9804, predictive_accuracy: 0.9803, prior_entropy: 3.3219, recall: 0.9803, relative_absolute_error: 0.0223, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0629, root_relative_squared_error: 0.2095, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 3.561, build_memory: 324625528, f_measure: 0.9502, kappa: 0.9444, kb_relative_information_score: 624.0607, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9517, predictive_accuracy: 0.95, prior_entropy: 3.3219, recall: 0.95, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.3005, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 5.763, build_memory: 1154582504, f_measure: 0.9548, kappa: 0.9495, kb_relative_information_score: 629.8744, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9559, predictive_accuracy: 0.9545, prior_entropy: 3.3219, recall: 0.9545, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.2821, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 5.519, build_memory: 596097208, f_measure: 0.9548, kappa: 0.9495, kb_relative_information_score: 629.8744, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9559, predictive_accuracy: 0.9545, prior_entropy: 3.3219, recall: 0.9545, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.2821, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 5.298, build_memory: 190829296, f_measure: 0.9548, kappa: 0.9495, kb_relative_information_score: 629.8744, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9559, predictive_accuracy: 0.9545, prior_entropy: 3.3219, recall: 0.9545, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.2821, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 5.435, build_memory: 199485984, f_measure: 0.9548, kappa: 0.9495, kb_relative_information_score: 629.8744, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9559, predictive_accuracy: 0.9545, prior_entropy: 3.3219, recall: 0.9545, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.2821, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, build_cpu_time: 0.023, build_memory: 187003680, f_measure: 0.8423, kappa: 0.8265, kb_relative_information_score: 552.287, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8455, predictive_accuracy: 0.8439, prior_entropy: 3.3219, recall: 0.8439, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.5889, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, build_cpu_time: 0.038, build_memory: 2460156480, f_measure: 0.8423, kappa: 0.8265, kb_relative_information_score: 552.287, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8455, predictive_accuracy: 0.8439, prior_entropy: 3.3219, recall: 0.8439, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.5889, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, build_cpu_time: 0.024, build_memory: 2856369608, f_measure: 0.8423, kappa: 0.8265, kb_relative_information_score: 552.287, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8455, predictive_accuracy: 0.8439, prior_entropy: 3.3219, recall: 0.8439, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.5889, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, build_cpu_time: 0.035, build_memory: 913286512, f_measure: 0.8423, kappa: 0.8265, kb_relative_information_score: 552.287, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8455, predictive_accuracy: 0.8439, prior_entropy: 3.3219, recall: 0.8439, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.5889, scimark_benchmark: 946.9091,

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