OpenML
Supervised Classification on fbis.wc

Supervised Classification on fbis.wc

Task 4229 Supervised Classification fbis.wc 104 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.7363, kappa: 0.7074, kb_relative_information_score: 17249.8815, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.7341, predictive_accuracy: 0.7405, prior_entropy: 3.5848, recall: 0.7405, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.164, root_relative_squared_error: 0.7166, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.6162, kappa: 0.6163, kb_relative_information_score: 15046.0535, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.6242, predictive_accuracy: 0.6612, prior_entropy: 3.5848, recall: 0.6612, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.7182, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7131, kappa: 0.6821, kb_relative_information_score: 16658.6965, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.7128, predictive_accuracy: 0.718, prior_entropy: 3.5848, recall: 0.718, relative_absolute_error: 0.3167, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.7961, scimark_benchmark: 851.2074, usercpu_time_millis: 49298550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 49298540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7131, kappa: 0.6821, kb_relative_information_score: 16658.6965, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.7128, predictive_accuracy: 0.718, prior_entropy: 3.5848, recall: 0.718, relative_absolute_error: 0.3167, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.7961, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8114, kappa: 0.7964, kb_relative_information_score: 19225.4571, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.8127, predictive_accuracy: 0.8201, prior_entropy: 3.5848, recall: 0.8201, relative_absolute_error: 0.3446, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.5537, scimark_benchmark: 932.438, usercpu_time_millis: 2879310, usercpu_time_millis_testing: 833270, usercpu_time_millis_training: 2046040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.7559, kappa: 0.7311, kb_relative_information_score: 18165.5636, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.7543, predictive_accuracy: 0.7622, prior_entropy: 3.5848, recall: 0.7622, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.6219, scimark_benchmark: 947.1781, usercpu_time_millis: 5805000, usercpu_time_millis_testing: 1570, usercpu_time_millis_training: 5803430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.8078, kappa: 0.7923, kb_relative_information_score: 19181.2983, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.8086, predictive_accuracy: 0.8164, prior_entropy: 3.5848, recall: 0.8164, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.5584, scimark_benchmark: 932.438, usercpu_time_millis: 1417930, usercpu_time_millis_testing: 413300, usercpu_time_millis_training: 1004630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.7955, kappa: 0.778, kb_relative_information_score: 19028.2787, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.7945, predictive_accuracy: 0.8037, prior_entropy: 3.5848, recall: 0.8037, relative_absolute_error: 0.3446, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.131, root_relative_squared_error: 0.5723, scimark_benchmark: 906.0979, usercpu_time_millis: 747960, usercpu_time_millis_testing: 211500, usercpu_time_millis_training: 536460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.7363, kappa: 0.7074, kb_relative_information_score: 17249.8815, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.7341, predictive_accuracy: 0.7405, prior_entropy: 3.5848, recall: 0.7405, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.164, root_relative_squared_error: 0.7166, scimark_benchmark: 942.2392, usercpu_time_millis: 33380, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 32780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.8156, kappa: 0.8017, kb_relative_information_score: 19290.7341, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.8176, predictive_accuracy: 0.8248, prior_entropy: 3.5848, recall: 0.8248, relative_absolute_error: 0.3441, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.5482, scimark_benchmark: 873.7533, usercpu_time_millis: 10866970, usercpu_time_millis_testing: 3325190, usercpu_time_millis_training: 7541780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.6162, kappa: 0.6163, kb_relative_information_score: 15046.0535, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.6242, predictive_accuracy: 0.6612, prior_entropy: 3.5848, recall: 0.6612, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.7182, scimark_benchmark: 945.6228, usercpu_time_millis: 498120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 498110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7365, kappa: 0.7079, kb_relative_information_score: 16846.9197, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.7357, predictive_accuracy: 0.7415, prior_entropy: 3.5848, recall: 0.7415, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.6478, scimark_benchmark: 936.1714, usercpu_time_millis: 61890, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 61840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.1988, kappa: 0.2028, kb_relative_information_score: 4888.7137, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.1417, predictive_accuracy: 0.3553, prior_entropy: 3.5848, recall: 0.3553, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.9431, scimark_benchmark: 938.3115, usercpu_time_millis: 3120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.1988, kappa: 0.2028, kb_relative_information_score: 4888.7137, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.1417, predictive_accuracy: 0.3553, prior_entropy: 3.5848, recall: 0.3553, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.9431, scimark_benchmark: 941.9549, usercpu_time_millis: 3270, usercpu_time_millis_training: 3270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.1988, kappa: 0.2028, kb_relative_information_score: 4888.7137, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.1417, predictive_accuracy: 0.3553, prior_entropy: 3.5848, recall: 0.3553, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.9431, scimark_benchmark: 938.3115, usercpu_time_millis: 3180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.1988, kappa: 0.2028, kb_relative_information_score: 4888.7137, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.1417, predictive_accuracy: 0.3553, prior_entropy: 3.5848, recall: 0.3553, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.9431, scimark_benchmark: 938.3115, usercpu_time_millis: 3130, usercpu_time_millis_training: 3130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8236, kappa: 0.8077, kb_relative_information_score: 19275.7104, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.8241, predictive_accuracy: 0.8301, prior_entropy: 3.5848, recall: 0.8301, relative_absolute_error: 0.3487, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.5469, scimark_benchmark: 926.5859, usercpu_time_millis: 1092160, usercpu_time_millis_testing: 1060, usercpu_time_millis_training: 1091100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.1988, kappa: 0.2028, kb_relative_information_score: 4888.7137, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.1417, predictive_accuracy: 0.3553, prior_entropy: 3.5848, recall: 0.3553, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.9431, scimark_benchmark: 929.0296, usercpu_time_millis: 3120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.07, kb_relative_information_score: 2518.171, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.0422, predictive_accuracy: 0.2054, prior_entropy: 3.5848, recall: 0.2054, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.3057, root_relative_squared_error: 1.3362, scimark_benchmark: 938.3115, usercpu_time_millis: 550, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.1988, kappa: 0.2038, kb_relative_information_score: 4898.6516, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.1414, predictive_accuracy: 0.356, prior_entropy: 3.5848, recall: 0.356, relative_absolute_error: 0.8854, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.215, root_relative_squared_error: 0.9398, scimark_benchmark: 933.0918, usercpu_time_millis: 2540, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.7363, kappa: 0.7074, kb_relative_information_score: 17249.8815, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.7341, predictive_accuracy: 0.7405, prior_entropy: 3.5848, recall: 0.7405, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.164, root_relative_squared_error: 0.7166, scimark_benchmark: 923.509, usercpu_time_millis: 29660, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 29130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.6162, kappa: 0.6163, kb_relative_information_score: 15046.0535, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.6242, predictive_accuracy: 0.6612, prior_entropy: 3.5848, recall: 0.6612, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.7182, scimark_benchmark: 931.9176, usercpu_time_millis: 308240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 308220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.6011, kappa: 0.5513, kb_relative_information_score: 13511.8722, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.6023, predictive_accuracy: 0.6004, prior_entropy: 3.5848, recall: 0.6004, relative_absolute_error: 0.4608, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.9078, scimark_benchmark: 922.5036, usercpu_time_millis: 2448920, usercpu_time_millis_testing: 352490, usercpu_time_millis_training: 2096430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8612, kappa: 0.8458, kb_relative_information_score: 21053.6752, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.861, predictive_accuracy: 0.8632, prior_entropy: 3.5848, recall: 0.8632, relative_absolute_error: 0.1589, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.5149, scimark_benchmark: 1293.6566, usercpu_time_millis: 9333990, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 9333980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.6162, kappa: 0.6163, kb_relative_information_score: 15046.0535, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.6242, predictive_accuracy: 0.6612, prior_entropy: 3.5848, recall: 0.6612, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.7182, scimark_benchmark: 1336.2908, usercpu_time_millis: 207320, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 207300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.7363, kappa: 0.7074, kb_relative_information_score: 17249.8815, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.7341, predictive_accuracy: 0.7405, prior_entropy: 3.5848, recall: 0.7405, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.164, root_relative_squared_error: 0.7166, scimark_benchmark: 1331.4379, usercpu_time_millis: 26390, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 25920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8612, kappa: 0.8458, kb_relative_information_score: 21053.6752, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.861, predictive_accuracy: 0.8632, prior_entropy: 3.5848, recall: 0.8632, relative_absolute_error: 0.1589, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.5149, scimark_benchmark: 1064.8317, usercpu_time_millis: 11505010, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 11504990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.4251, kappa: 0.3419, kb_relative_information_score: 9706.112, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.6164, predictive_accuracy: 0.392, prior_entropy: 3.5848, recall: 0.392, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.9847, scimark_benchmark: 1322.5413, usercpu_time_millis: 11486180, usercpu_time_millis_testing: 11486180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.4251, kappa: 0.3419, kb_relative_information_score: 9706.112, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.6164, predictive_accuracy: 0.392, prior_entropy: 3.5848, recall: 0.392, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.9847, scimark_benchmark: 1324.7884, usercpu_time_millis: 9978370, usercpu_time_millis_testing: 9978370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.1988, kappa: 0.2036, kb_relative_information_score: 4970.4835, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.1415, predictive_accuracy: 0.3559, prior_entropy: 3.5848, recall: 0.3559, relative_absolute_error: 0.8874, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.9421, scimark_benchmark: 1299.5896, usercpu_time_millis: 6843830, usercpu_time_millis_testing: 6843830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.7363, kappa: 0.7074, kb_relative_information_score: 17249.8815, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.7341, predictive_accuracy: 0.7405, prior_entropy: 3.5848, recall: 0.7405, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.164, root_relative_squared_error: 0.7166, scimark_benchmark: 1343.3311, usercpu_time_millis: 23540, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 23110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.1988, kappa: 0.2036, kb_relative_information_score: 4970.4835, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.1415, predictive_accuracy: 0.3559, prior_entropy: 3.5848, recall: 0.3559, relative_absolute_error: 0.8874, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.9421, scimark_benchmark: 1339.2472, usercpu_time_millis: 6850210, usercpu_time_millis_testing: 6850210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.6162, kappa: 0.6163, kb_relative_information_score: 15046.0535, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.6242, predictive_accuracy: 0.6612, prior_entropy: 3.5848, recall: 0.6612, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.7182, scimark_benchmark: 1323.5075, usercpu_time_millis: 195150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 195140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.7363, kappa: 0.7074, kb_relative_information_score: 17249.8815, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.7341, predictive_accuracy: 0.7405, prior_entropy: 3.5848, recall: 0.7405, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.164, root_relative_squared_error: 0.7166, scimark_benchmark: 1330.0291, usercpu_time_millis: 25480, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 25040,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.8579, kappa: 0.8423, kb_relative_information_score: 21047.1031, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.8578, predictive_accuracy: 0.8601, prior_entropy: 3.5848, recall: 0.8601, relative_absolute_error: 0.1708, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.5062, scimark_benchmark: 1449.4352, usercpu_time_millis: 6055360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6055350,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.6089, kappa: 0.5675, kb_relative_information_score: 14102.4071, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.6323, predictive_accuracy: 0.6115, prior_entropy: 3.5848, recall: 0.6115, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.9314, scimark_benchmark: 1339.944, usercpu_time_millis: 40380, usercpu_time_millis_testing: 35570, usercpu_time_millis_training: 4810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.6185, kappa: 0.5778, kb_relative_information_score: 14352.7557, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.6412, predictive_accuracy: 0.621, prior_entropy: 3.5848, recall: 0.621, relative_absolute_error: 0.4255, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.9196, scimark_benchmark: 1339.944, usercpu_time_millis: 35040, usercpu_time_millis_testing: 32720, usercpu_time_millis_training: 2320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.07, kb_relative_information_score: 11.2658, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.0422, predictive_accuracy: 0.2054, prior_entropy: 3.5848, recall: 0.2054, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2288, root_relative_squared_error: 1, scimark_benchmark: 1344.7246, usercpu_time_millis: 1210, usercpu_time_millis_testing: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.787, kappa: 0.7748, kb_relative_information_score: 18438.2025, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.7964, predictive_accuracy: 0.8016, prior_entropy: 3.5848, recall: 0.8016, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1328, root_relative_squared_error: 0.5802, scimark_benchmark: 901.1296, usercpu_time_millis: 1735380, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 1735160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.6162, kappa: 0.6163, kb_relative_information_score: 15046.0535, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.6242, predictive_accuracy: 0.6612, prior_entropy: 3.5848, recall: 0.6612, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.7182, scimark_benchmark: 1329.273, usercpu_time_millis: 210580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 210560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.7524, kappa: 0.7309, kb_relative_information_score: 17586.2229, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.7546, predictive_accuracy: 0.7626, prior_entropy: 3.5848, recall: 0.7626, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.6997, scimark_benchmark: 1342.362, usercpu_time_millis: 94570, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 94400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.5018, kappa: 0.4409, kb_relative_information_score: 10839.076, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.5008, predictive_accuracy: 0.5032, prior_entropy: 3.5848, recall: 0.5032, relative_absolute_error: 0.558, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2418, root_relative_squared_error: 1.0566, scimark_benchmark: 1337.8431, usercpu_time_millis: 2270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.7752, kappa: 0.7608, kb_relative_information_score: 18268.1545, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.7786, predictive_accuracy: 0.7892, prior_entropy: 3.5848, recall: 0.7892, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.5937, scimark_benchmark: 1419.2433, usercpu_time_millis: 188290, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 188260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, f_measure: 0.5402, kappa: 0.4739, kb_relative_information_score: 12021.7547, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.5811, predictive_accuracy: 0.5235, prior_entropy: 3.5848, recall: 0.5235, relative_absolute_error: 0.5352, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2368, root_relative_squared_error: 1.0348, scimark_benchmark: 938.343, usercpu_time_millis: 1967150, usercpu_time_millis_testing: 1966660, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.6368, kappa: 0.5857, kb_relative_information_score: 3370.4137, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.7069, predictive_accuracy: 0.6238, prior_entropy: 3.5848, recall: 0.6238, relative_absolute_error: 0.9714, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2314, root_relative_squared_error: 1.0113, scimark_benchmark: 906.4475, usercpu_time_millis: 8670, usercpu_time_millis_testing: 6370, usercpu_time_millis_training: 2300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.7571, kappa: 0.7338, kb_relative_information_score: 17748.2225, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.7553, predictive_accuracy: 0.7642, prior_entropy: 3.5848, recall: 0.7642, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.6742, scimark_benchmark: 899.5042, usercpu_time_millis: 59610, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 59570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.1988, kappa: 0.2028, kb_relative_information_score: 4888.7137, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.1417, predictive_accuracy: 0.3553, prior_entropy: 3.5848, recall: 0.3553, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.9431, scimark_benchmark: 1337.7959, usercpu_time_millis: 2800, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.1988, kappa: 0.2028, kb_relative_information_score: 4888.7137, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.1417, predictive_accuracy: 0.3553, prior_entropy: 3.5848, recall: 0.3553, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.9431, scimark_benchmark: 939.5205, usercpu_time_millis: 3250, usercpu_time_millis_training: 3250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.1988, kappa: 0.2028, kb_relative_information_score: 4888.7137, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.1417, predictive_accuracy: 0.3553, prior_entropy: 3.5848, recall: 0.3553, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.9431, scimark_benchmark: 1304.9611, usercpu_time_millis: 2780, usercpu_time_millis_training: 2780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.1988, kappa: 0.2028, kb_relative_information_score: 4888.7137, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.1417, predictive_accuracy: 0.3553, prior_entropy: 3.5848, recall: 0.3553, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.9431, scimark_benchmark: 916.6405, usercpu_time_millis: 2840, usercpu_time_millis_training: 2840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.1988, kappa: 0.2028, kb_relative_information_score: 4888.7137, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.1417, predictive_accuracy: 0.3553, prior_entropy: 3.5848, recall: 0.3553, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.9431, scimark_benchmark: 1404.1865, usercpu_time_millis: 2750, usercpu_time_millis_training: 2750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.5218, kappa: 0.4554, kb_relative_information_score: 12107.1712, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.5727, predictive_accuracy: 0.5118, prior_entropy: 3.5848, recall: 0.5118, relative_absolute_error: 0.6699, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.8594, scimark_benchmark: 930.5999, usercpu_time_millis: 31310, usercpu_time_millis_testing: 31310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.5078, kappa: 0.4413, kb_relative_information_score: 12481.5209, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.5728, predictive_accuracy: 0.4966, prior_entropy: 3.5848, recall: 0.4966, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.8824, scimark_benchmark: 1318.1432, usercpu_time_millis: 26140, usercpu_time_millis_testing: 26130, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.8238, kappa: 0.8029, kb_relative_information_score: 19914.5443, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.8235, predictive_accuracy: 0.8248, prior_entropy: 3.5848, recall: 0.8248, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.129, root_relative_squared_error: 0.5638, scimark_benchmark: 942.9518, usercpu_time_millis: 614600, usercpu_time_millis_testing: 3990, usercpu_time_millis_training: 610610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.3536, kappa: 0.354, kb_relative_information_score: 2464.1592, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.5387, predictive_accuracy: 0.4634, prior_entropy: 3.5848, recall: 0.4634, relative_absolute_error: 1.0128, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9968, scimark_benchmark: 939.449, usercpu_time_millis: 203030, usercpu_time_millis_testing: 182550, usercpu_time_millis_training: 20480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.774, kappa: 0.7542, kb_relative_information_score: 4529.9461, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.7804, predictive_accuracy: 0.7838, prior_entropy: 3.5848, recall: 0.7838, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.224, root_relative_squared_error: 0.9791, scimark_benchmark: 944.0517, usercpu_time_millis: 14560, usercpu_time_millis_testing: 6990, usercpu_time_millis_training: 7570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8274, kappa: 0.806, kb_relative_information_score: 19753.0044, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.828, predictive_accuracy: 0.8277, prior_entropy: 3.5848, recall: 0.8277, relative_absolute_error: 0.1935, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.6223, scimark_benchmark: 942.9708, usercpu_time_millis: 1670, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.7075, kappa: 0.6682, kb_relative_information_score: 17020.1094, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.7287, predictive_accuracy: 0.7016, prior_entropy: 3.5848, recall: 0.7016, relative_absolute_error: 0.3379, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.7904, scimark_benchmark: 1325.2092, usercpu_time_millis: 15800, usercpu_time_millis_testing: 9940, usercpu_time_millis_training: 5860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.7489, kappa: 0.7345, kb_relative_information_score: 14393.8602, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.8077, predictive_accuracy: 0.7702, prior_entropy: 3.5848, recall: 0.7702, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.7067, scimark_benchmark: 1307.4861, usercpu_time_millis: 20450, usercpu_time_millis_testing: 990, usercpu_time_millis_training: 19460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.4637, kappa: 0.3966, kb_relative_information_score: 9715.5506, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.4654, predictive_accuracy: 0.4624, prior_entropy: 3.5848, recall: 0.4624, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2515, root_relative_squared_error: 1.0991, scimark_benchmark: 1315.0767, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.5939, kappa: 0.5658, kb_relative_information_score: 13282.3643, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.6522, predictive_accuracy: 0.6283, prior_entropy: 3.5848, recall: 0.6283, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.914, scimark_benchmark: 1307.4861, usercpu_time_millis: 818220, usercpu_time_millis_testing: 468740, usercpu_time_millis_training: 349480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.7229, kappa: 0.7012, kb_relative_information_score: 16688.5587, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.7212, predictive_accuracy: 0.7363, prior_entropy: 3.5848, recall: 0.7363, relative_absolute_error: 0.4047, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.6805, scimark_benchmark: 1073.494, usercpu_time_millis: 18340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 18330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.7534, kappa: 0.7329, kb_relative_information_score: 17245.3888, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.7522, predictive_accuracy: 0.7644, prior_entropy: 3.5848, recall: 0.7644, relative_absolute_error: 0.3647, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.6581, scimark_benchmark: 1316.0472, usercpu_time_millis: 168300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 168290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5037, f_measure: 0.0165, kappa: 0.0068, kb_relative_information_score: 227.8158, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.5292, predictive_accuracy: 0.0444, prior_entropy: 3.5848, recall: 0.0444, relative_absolute_error: 1.0733, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.3353, root_relative_squared_error: 1.4654, scimark_benchmark: 1327.6929, usercpu_time_millis: 181460, usercpu_time_millis_testing: 34890, usercpu_time_millis_training: 146570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.7479, kappa: 0.7181, kb_relative_information_score: 17526.9402, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.1047, number_of_instances: 24630, precision: 0.7471, predictive_accuracy: 0.7492, prior_entropy: 3.5848, recall: 0.7492, relative_absolute_error: 0.2968, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.7286, scimark_benchmark: 1341.2341, usercpu_time_millis: 358810, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 358720,

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