Task
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: 0.9987, f_measure: 0.9803, kappa: 0.9781, kb_relative_information_score: 426.5182, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9805, predictive_accuracy: 0.9803, prior_entropy: 3.3219, recall: 0.9803, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.6203,
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: 906.0979,
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: 851.2074, usercpu_time_millis: 14390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 14380,
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: 941.6675, usercpu_time_millis: 56470, usercpu_time_millis_testing: 20500, usercpu_time_millis_training: 35970,
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: 938.191, usercpu_time_millis: 6930, usercpu_time_millis_testing: 5970, usercpu_time_millis_training: 960,
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: 941.6675, usercpu_time_millis: 8530, usercpu_time_millis_testing: 7490, usercpu_time_millis_training: 1040,
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: 941.6675, usercpu_time_millis: 2650, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2640,
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: 905.2959,
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: 927.2917, usercpu_time_millis: 843680, usercpu_time_millis_testing: 1620, usercpu_time_millis_training: 842060,
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: 931.771, usercpu_time_millis: 1690, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 1600,
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: 937.5117, usercpu_time_millis: 40440, usercpu_time_millis_testing: 14860, usercpu_time_millis_training: 25580,
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: 941.3847, usercpu_time_millis: 640, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 320,
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: 937.5117, usercpu_time_millis: 832870, usercpu_time_millis_testing: 1510, usercpu_time_millis_training: 831360,
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: 943.1009, usercpu_time_millis: 1780, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 1670,
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: 819.5729, usercpu_time_millis: 410, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, 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: 608.4057, usercpu_time_millis: 21180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 21170,
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: 859.5223, usercpu_time_millis: 38620, usercpu_time_millis_testing: 8280, usercpu_time_millis_training: 30340,
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: 930.404, usercpu_time_millis: 8720, usercpu_time_millis_testing: 7580, usercpu_time_millis_training: 1140,
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: 903.2737, usercpu_time_millis: 8950, usercpu_time_millis_testing: 7070, usercpu_time_millis_training: 1880,
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: 933.3455, usercpu_time_millis: 2850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2840,
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: 945.6228, usercpu_time_millis: 7970, usercpu_time_millis_testing: 6860, usercpu_time_millis_training: 1110,
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: 936.3213, usercpu_time_millis: 857090, usercpu_time_millis_testing: 1580, usercpu_time_millis_training: 855510,
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: 936.9595, usercpu_time_millis: 1820, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9834, kappa: 0.9815, kb_relative_information_score: 612.5978, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9836, predictive_accuracy: 0.9833, prior_entropy: 3.3219, recall: 0.9833, relative_absolute_error: 0.1411, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0761, root_relative_squared_error: 0.2535, scimark_benchmark: 1171.0303, usercpu_time_millis: 517940, usercpu_time_millis_testing: 144430, usercpu_time_millis_training: 373510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9803, kappa: 0.9781, kb_relative_information_score: 611.5039, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 3.3219, recall: 0.9803, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.2596, scimark_benchmark: 901.6243, usercpu_time_millis: 188580, usercpu_time_millis_testing: 52700, usercpu_time_millis_training: 135880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9789, kappa: 0.9764, kb_relative_information_score: 611.3033, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9793, predictive_accuracy: 0.9788, prior_entropy: 3.3219, recall: 0.9788, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.2639, scimark_benchmark: 917.2109, usercpu_time_millis: 86850, usercpu_time_millis_testing: 23130, usercpu_time_millis_training: 63720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9743, kappa: 0.9714, kb_relative_information_score: 611.4398, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9748, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.1388, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.2705, scimark_benchmark: 911.2316, usercpu_time_millis: 49460, usercpu_time_millis_testing: 15940, usercpu_time_millis_training: 33520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 610.898, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9758, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.083, root_relative_squared_error: 0.2768, scimark_benchmark: 889.4922, usercpu_time_millis: 28380, usercpu_time_millis_testing: 6520, usercpu_time_millis_training: 21860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0137, kb_relative_information_score: 5.6963, 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: 1.0004, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0006, scimark_benchmark: 929.0296, usercpu_time_millis: 900, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 880,
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: 938.3115, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
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: 936.1714, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
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: 940.0055, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
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: 938.3115, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
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: 935.6052, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0137, kb_relative_information_score: 29.4082, mean_absolute_error: 0.1827, 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: 1.0152, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4275, root_relative_squared_error: 1.4249, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9607, kappa: 0.9562, kb_relative_information_score: 603.0462, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9619, predictive_accuracy: 0.9606, prior_entropy: 3.3219, recall: 0.9606, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.3086, scimark_benchmark: 926.5859, usercpu_time_millis: 14510, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 14240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9472, kappa: 0.941, kb_relative_information_score: 581.3394, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9487, predictive_accuracy: 0.947, prior_entropy: 3.3219, recall: 0.947, relative_absolute_error: 0.2071, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.3604, scimark_benchmark: 899.1108, usercpu_time_millis: 87600, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 87510,
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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: 1310.6554, usercpu_time_millis: 26770, usercpu_time_millis_testing: 15360, usercpu_time_millis_training: 11410,
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: 1309.0674, usercpu_time_millis: 520, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 200,
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: 1317.5857, usercpu_time_millis: 6790, usercpu_time_millis_testing: 5980, usercpu_time_millis_training: 810,
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: 1350.2591, usercpu_time_millis: 2670, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2660,
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: 1324.6442, usercpu_time_millis: 8700, usercpu_time_millis_testing: 7330, usercpu_time_millis_training: 1370,
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: 1374.9737, usercpu_time_millis: 1580, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 1490,
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: 1318.4315, usercpu_time_millis: 31440, usercpu_time_millis_testing: 17690, usercpu_time_millis_training: 13750,
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: 1324.7884, usercpu_time_millis: 530, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 210,
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: 1319.4538, usercpu_time_millis: 10190, usercpu_time_millis_testing: 8810, usercpu_time_millis_training: 1380,
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: 1345.6844, usercpu_time_millis: 30940, usercpu_time_millis_testing: 18980, usercpu_time_millis_training: 11960,
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: 1374.9737, usercpu_time_millis: 540, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 200,
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: 1319.4538, usercpu_time_millis: 8920, usercpu_time_millis_testing: 7940, usercpu_time_millis_training: 980,
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: 1326.2019, usercpu_time_millis: 5360, usercpu_time_millis_testing: 4810, usercpu_time_millis_training: 550,
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: 1313.5633, usercpu_time_millis: 8550, usercpu_time_millis_testing: 7400, usercpu_time_millis_training: 1150,
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: 1317.5348, usercpu_time_millis: 6860, usercpu_time_millis_testing: 6180, usercpu_time_millis_training: 680,
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: 1335.3312, usercpu_time_millis: 1198960, usercpu_time_millis_testing: 5090, usercpu_time_millis_training: 1193870,
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: 1367.3264, usercpu_time_millis: 1540, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1460,
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: 1342.2845, usercpu_time_millis: 18700, usercpu_time_millis_training: 18700,
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: 1330.4755, usercpu_time_millis: 69850, usercpu_time_millis_testing: 23980, usercpu_time_millis_training: 45870,
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: 1330.2425, usercpu_time_millis: 6530, usercpu_time_millis_testing: 5860, usercpu_time_millis_training: 670,
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: 1308.6872, usercpu_time_millis: 1450, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1370,
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: 1348.2804, usercpu_time_millis: 270, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 240,
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: 1278.9821, usercpu_time_millis: 38770, usercpu_time_millis_testing: 20040, usercpu_time_millis_training: 18730,
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: 1331.0107, usercpu_time_millis: 5080, usercpu_time_millis_testing: 4530, usercpu_time_millis_training: 550,
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: 1353.6259, usercpu_time_millis: 5430, usercpu_time_millis_testing: 4800, usercpu_time_millis_training: 630,
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: 1260.1387, usercpu_time_millis: 1570, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 1480,
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: 1334.1324, usercpu_time_millis: 220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 200,
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: 1327.3335, usercpu_time_millis: 95890, usercpu_time_millis_testing: 35800, usercpu_time_millis_training: 60090,
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: 1354.3488, usercpu_time_millis: 34690, usercpu_time_millis_testing: 18830, usercpu_time_millis_training: 15860,

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