Task
Supervised Classification on mfeat-karhunen

Supervised Classification on mfeat-karhunen

Task 3883 Supervised Classification mfeat-karhunen 580 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9833, kappa: 0.9065, kb_relative_information_score: 1754.6848, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9833, predictive_accuracy: 0.9835, prior_entropy: 0.4703, recall: 0.9835, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1166, root_relative_squared_error: 0.3888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9888, kappa: 0.9366, kb_relative_information_score: 1806.9774, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 0.4703, recall: 0.989, relative_absolute_error: 0.0767, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.097, root_relative_squared_error: 0.3235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9825, kappa: 0.9002, kb_relative_information_score: 1620.8651, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9829, predictive_accuracy: 0.983, prior_entropy: 0.4703, recall: 0.983, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.3702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9848, kappa: 0.9144, kb_relative_information_score: 1758.5676, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9848, predictive_accuracy: 0.985, prior_entropy: 0.4703, recall: 0.985, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.9794, kappa: 0.8848, kb_relative_information_score: 1656.5986, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9793, predictive_accuracy: 0.9795, prior_entropy: 0.4703, recall: 0.9795, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9926, kappa: 0.9593, kb_relative_information_score: 1883.5775, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9928, predictive_accuracy: 0.9925, prior_entropy: 0.4703, recall: 0.9925, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9919, kappa: 0.9545, kb_relative_information_score: 1869.7509, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.4703, recall: 0.992, relative_absolute_error: 0.0471, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9914, kappa: 0.952, kb_relative_information_score: 1874.2543, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9914, predictive_accuracy: 0.9915, prior_entropy: 0.4703, recall: 0.9915, relative_absolute_error: 0.0496, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9886, kappa: 0.9374, kb_relative_information_score: 1815.2992, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9888, predictive_accuracy: 0.9885, prior_entropy: 0.4703, recall: 0.9885, relative_absolute_error: 0.0666, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1012, root_relative_squared_error: 0.3374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.993, kappa: 0.9611, kb_relative_information_score: 1888.5278, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 0.4703, recall: 0.993, relative_absolute_error: 0.0406, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.2428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9843, kappa: 0.9113, kb_relative_information_score: 1730.12, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9843, predictive_accuracy: 0.9845, prior_entropy: 0.4703, recall: 0.9845, relative_absolute_error: 0.1011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1126, root_relative_squared_error: 0.3754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9906, kappa: 0.9487, kb_relative_information_score: 1622.7171, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.991, predictive_accuracy: 0.9905, prior_entropy: 0.4703, recall: 0.9905, relative_absolute_error: 0.1112, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.2978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9541, kappa: 0.7432, kb_relative_information_score: 1157.0409, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9538, predictive_accuracy: 0.9545, prior_entropy: 0.4703, recall: 0.9545, relative_absolute_error: 0.3281, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.5975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9935, kappa: 0.9635, kb_relative_information_score: 1890.7189, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.4703, recall: 0.9935, relative_absolute_error: 0.0385, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0719, root_relative_squared_error: 0.2398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9825, kappa: 0.9002, kb_relative_information_score: 1569.3072, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9829, predictive_accuracy: 0.983, prior_entropy: 0.4703, recall: 0.983, relative_absolute_error: 0.198, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.3902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9747, kappa: 0.8522, kb_relative_information_score: 1281.3212, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9763, predictive_accuracy: 0.976, prior_entropy: 0.4703, recall: 0.976, relative_absolute_error: 0.3783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.4776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: -2.1702, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.995, kappa: 0.9721, kb_relative_information_score: 1781.3797, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.4703, recall: 0.995, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0722, root_relative_squared_error: 0.2405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.9643, kappa: 0.7951, kb_relative_information_score: 1255.1257, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9642, predictive_accuracy: 0.9655, prior_entropy: 0.4703, recall: 0.9655, relative_absolute_error: 0.2546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.5485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9935, kappa: 0.9636, kb_relative_information_score: 1860.4832, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.4703, recall: 0.9935, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0721, root_relative_squared_error: 0.2404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.9841, kappa: 0.9097, kb_relative_information_score: 1765.9562, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9844, predictive_accuracy: 0.9845, prior_entropy: 0.4703, recall: 0.9845, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.9703, kappa: 0.8314, kb_relative_information_score: 1547.4581, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9702, predictive_accuracy: 0.971, prior_entropy: 0.4703, recall: 0.971, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.5578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9833, kappa: 0.9065, kb_relative_information_score: 1754.8516, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9833, predictive_accuracy: 0.9835, prior_entropy: 0.4703, recall: 0.9835, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1166, root_relative_squared_error: 0.3888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.992, kappa: 0.9559, kb_relative_information_score: 1876.2166, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9921, predictive_accuracy: 0.992, prior_entropy: 0.4703, recall: 0.992, relative_absolute_error: 0.0447, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.2982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9852, kappa: 0.9167, kb_relative_information_score: 1751.7135, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9853, predictive_accuracy: 0.9855, prior_entropy: 0.4703, recall: 0.9855, relative_absolute_error: 0.0984, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9812, kappa: 0.8913, kb_relative_information_score: 1478.6781, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9824, predictive_accuracy: 0.982, prior_entropy: 0.4703, recall: 0.982, relative_absolute_error: 0.3074, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.4169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9848, kappa: 0.9144, kb_relative_information_score: 1758.632, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9848, predictive_accuracy: 0.985, prior_entropy: 0.4703, recall: 0.985, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9737, kappa: 0.85, kb_relative_information_score: 1559.7917, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9738, predictive_accuracy: 0.9745, prior_entropy: 0.4703, recall: 0.9745, relative_absolute_error: 0.1663, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.5057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9898, kappa: 0.9427, kb_relative_information_score: 1847.0963, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 0.4703, recall: 0.99, relative_absolute_error: 0.0555, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1, root_relative_squared_error: 0.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.962, kappa: 0.7812, kb_relative_information_score: 1456.1488, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.962, predictive_accuracy: 0.9635, prior_entropy: 0.4703, recall: 0.9635, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.6368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.9703, kappa: 0.8314, kb_relative_information_score: 1547.4581, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9702, predictive_accuracy: 0.971, prior_entropy: 0.4703, recall: 0.971, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.5578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9833, kappa: 0.9065, kb_relative_information_score: 1754.7331, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9833, predictive_accuracy: 0.9835, prior_entropy: 0.4703, recall: 0.9835, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1167, root_relative_squared_error: 0.3889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9929, kappa: 0.9604, kb_relative_information_score: 1872.981, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 0.4703, recall: 0.993, relative_absolute_error: 0.0607, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.2457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9792, kappa: 0.8804, kb_relative_information_score: 1237.4922, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9799, predictive_accuracy: 0.98, prior_entropy: 0.4703, recall: 0.98, relative_absolute_error: 0.3652, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.4982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.964, kappa: 0.7969, kb_relative_information_score: 1470.9015, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9636, predictive_accuracy: 0.9645, prior_entropy: 0.4703, recall: 0.9645, relative_absolute_error: 0.1969, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9895, kappa: 0.9421, kb_relative_information_score: 1820.8968, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9896, predictive_accuracy: 0.9895, prior_entropy: 0.4703, recall: 0.9895, relative_absolute_error: 0.0638, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.3091, scimark_benchmark: 1922.3298, usercpu_time_millis: 25953.125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 25921.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.999, kappa: 0.9944, kb_relative_information_score: 1979.8709, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.4703, recall: 0.999, relative_absolute_error: 0.0055, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0316, root_relative_squared_error: 0.1054, scimark_benchmark: 1280.301, usercpu_time_millis: 890.625, usercpu_time_millis_testing: 281.25, usercpu_time_millis_training: 609.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.991, kappa: 0.9504, kb_relative_information_score: 1861.849, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9911, predictive_accuracy: 0.991, prior_entropy: 0.4703, recall: 0.991, relative_absolute_error: 0.0499, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.3162, scimark_benchmark: 1280.301, usercpu_time_millis: 468.75, usercpu_time_millis_testing: 156.25, usercpu_time_millis_training: 312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.9688, kappa: 0.8151, kb_relative_information_score: 1566.7943, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9719, predictive_accuracy: 0.971, prior_entropy: 0.4703, recall: 0.971, relative_absolute_error: 0.1608, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.5676, scimark_benchmark: 1461.2356, usercpu_time_millis: 5921.875, usercpu_time_millis_testing: 1531.25, usercpu_time_millis_training: 4390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4475, f_measure: 0.803, kappa: -0.1076, kb_relative_information_score: -874.7835, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.8006, predictive_accuracy: 0.8055, prior_entropy: 0.4703, recall: 0.8055, relative_absolute_error: 1.0786, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.441, root_relative_squared_error: 1.4701, scimark_benchmark: 1461.2356, usercpu_time_millis: 2281.25, usercpu_time_millis_testing: 625, usercpu_time_millis_training: 1656.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9881, kappa: 0.9339, kb_relative_information_score: 1819.7591, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9881, predictive_accuracy: 0.988, prior_entropy: 0.4703, recall: 0.988, relative_absolute_error: 0.0646, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.326, scimark_benchmark: 1862.8608, usercpu_time_millis: 17531.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 17515.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9881, kappa: 0.9339, kb_relative_information_score: 1819.7591, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9881, predictive_accuracy: 0.988, prior_entropy: 0.4703, recall: 0.988, relative_absolute_error: 0.0646, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.326, scimark_benchmark: 1787.9841, usercpu_time_millis: 18062.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 18046.875,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4475, f_measure: 0.803, kappa: -0.1076, kb_relative_information_score: -874.7835, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.8006, predictive_accuracy: 0.8055, prior_entropy: 0.4703, recall: 0.8055, relative_absolute_error: 1.0786, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.441, root_relative_squared_error: 1.4701, scimark_benchmark: 1548.4705, usercpu_time_millis: 1810, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 1420,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9833, kappa: 0.9065, kb_relative_information_score: 1754.7331, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9833, predictive_accuracy: 0.9835, prior_entropy: 0.4703, recall: 0.9835, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1167, root_relative_squared_error: 0.3889, scimark_benchmark: 1156.6386, usercpu_time_millis: 170, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9945, kappa: 0.9691, kb_relative_information_score: 1913.4836, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 0.4703, recall: 0.9945, relative_absolute_error: 0.0305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.2472, scimark_benchmark: 1334.1049, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9919, kappa: 0.9548, kb_relative_information_score: 1856.2747, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9919, predictive_accuracy: 0.992, prior_entropy: 0.4703, recall: 0.992, relative_absolute_error: 0.0581, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.2729, scimark_benchmark: 1356.7973, usercpu_time_millis: 5250, usercpu_time_millis_training: 5250,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.989, kappa: 0.9394, kb_relative_information_score: 1832.3435, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9891, predictive_accuracy: 0.989, prior_entropy: 0.4703, recall: 0.989, relative_absolute_error: 0.061, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.3496, scimark_benchmark: 1618.1738, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.9659, kappa: 0.8075, kb_relative_information_score: 1416.6145, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9656, predictive_accuracy: 0.9665, prior_entropy: 0.4703, recall: 0.9665, relative_absolute_error: 0.2523, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.5805, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9881, kappa: 0.9339, kb_relative_information_score: 1812.799, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9881, predictive_accuracy: 0.988, prior_entropy: 0.4703, recall: 0.988, relative_absolute_error: 0.0699, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.3216, scimark_benchmark: 1925.3565, usercpu_time_millis: 1671.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1656.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9919, kappa: 0.9548, kb_relative_information_score: 1856.2747, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9919, predictive_accuracy: 0.992, prior_entropy: 0.4703, recall: 0.992, relative_absolute_error: 0.0581, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.2729, scimark_benchmark: 1788.6668, usercpu_time_millis: 4109.375, usercpu_time_millis_training: 4109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9894, kappa: 0.9402, kb_relative_information_score: 1812.8286, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9894, predictive_accuracy: 0.9895, prior_entropy: 0.4703, recall: 0.9895, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3212, scimark_benchmark: 1788.6668, usercpu_time_millis: 1062.5, usercpu_time_millis_training: 1062.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.9739, kappa: 0.8549, kb_relative_information_score: 1574.2258, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9739, predictive_accuracy: 0.974, prior_entropy: 0.4703, recall: 0.974, relative_absolute_error: 0.1772, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.5106, scimark_benchmark: 1788.6668, usercpu_time_millis: 234.375, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9849, kappa: 0.9155, kb_relative_information_score: 1778.0027, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9848, predictive_accuracy: 0.985, prior_entropy: 0.4703, recall: 0.985, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.3714, scimark_benchmark: 1788.6668, usercpu_time_millis: 781.25, usercpu_time_millis_training: 781.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9885, kappa: 0.9357, kb_relative_information_score: 1738.7141, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9884, predictive_accuracy: 0.9885, prior_entropy: 0.4703, recall: 0.9885, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.094, root_relative_squared_error: 0.3132, scimark_benchmark: 1788.6668, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9878, kappa: 0.9315, kb_relative_information_score: 1817.5908, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9879, predictive_accuracy: 0.988, prior_entropy: 0.4703, recall: 0.988, relative_absolute_error: 0.0665, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.3651, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9945, kappa: 0.9691, kb_relative_information_score: 1913.4836, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 0.4703, recall: 0.9945, relative_absolute_error: 0.0305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.2472, scimark_benchmark: 1125.0513, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.9794, kappa: 0.8848, kb_relative_information_score: 1656.5986, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9793, predictive_accuracy: 0.9795, prior_entropy: 0.4703, recall: 0.9795, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4654, scimark_benchmark: 999.3343, usercpu_time_millis: 700, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9915, kappa: 0.9529, kb_relative_information_score: 1759.8346, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9915, predictive_accuracy: 0.9915, prior_entropy: 0.4703, recall: 0.9915, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0767, root_relative_squared_error: 0.2555, scimark_benchmark: 1447.2612, usercpu_time_millis: 718.75, usercpu_time_millis_testing: 718.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9878, kappa: 0.9337, kb_relative_information_score: 1838.311, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9886, predictive_accuracy: 0.9875, prior_entropy: 0.4703, recall: 0.9875, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.2472, scimark_benchmark: 1840.6094, usercpu_time_millis: 531.25, usercpu_time_millis_testing: 453.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9808, kappa: 0.8975, kb_relative_information_score: 1763.8261, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9831, predictive_accuracy: 0.98, prior_entropy: 0.4703, recall: 0.98, relative_absolute_error: 0.0694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.2862, scimark_benchmark: 1840.6094, usercpu_time_millis: 1453.125, usercpu_time_millis_testing: 1453.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9863, kappa: 0.9252, kb_relative_information_score: 1565.6707, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9869, predictive_accuracy: 0.986, prior_entropy: 0.4703, recall: 0.986, relative_absolute_error: 0.1339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.094, root_relative_squared_error: 0.3134, scimark_benchmark: 1873.1108, usercpu_time_millis: 2156.25, usercpu_time_millis_testing: 2156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9945, kappa: 0.9692, kb_relative_information_score: 1795.3603, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 0.4703, recall: 0.9945, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.07, root_relative_squared_error: 0.2333, scimark_benchmark: 1873.1108, usercpu_time_millis: 562.5, usercpu_time_millis_testing: 515.625, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9907, kappa: 0.9489, kb_relative_information_score: 1640.7655, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9911, predictive_accuracy: 0.9905, prior_entropy: 0.4703, recall: 0.9905, relative_absolute_error: 0.0999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.297, scimark_benchmark: 1873.1108, usercpu_time_millis: 1953.125, usercpu_time_millis_testing: 1953.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9876, kappa: 0.9313, kb_relative_information_score: 1810.2144, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9877, predictive_accuracy: 0.9875, prior_entropy: 0.4703, recall: 0.9875, relative_absolute_error: 0.0693, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.3727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.9653, kappa: 0.7938, kb_relative_information_score: 1522.5361, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9688, predictive_accuracy: 0.968, prior_entropy: 0.4703, recall: 0.968, relative_absolute_error: 0.1775, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.5963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9906, kappa: 0.948, kb_relative_information_score: 1854.4726, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9907, predictive_accuracy: 0.9905, prior_entropy: 0.4703, recall: 0.9905, relative_absolute_error: 0.0527, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.3249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9899, kappa: 0.9437, kb_relative_information_score: 1847.0963, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9899, predictive_accuracy: 0.99, prior_entropy: 0.4703, recall: 0.99, relative_absolute_error: 0.0555, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1, root_relative_squared_error: 0.3333, scimark_benchmark: 1870.7932, usercpu_time_millis: 93.6006, usercpu_time_millis_training: 93.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.989, kappa: 0.9394, kb_relative_information_score: 1832.3435, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9891, predictive_accuracy: 0.989, prior_entropy: 0.4703, recall: 0.989, relative_absolute_error: 0.061, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.3496, scimark_benchmark: 1870.7932, usercpu_time_millis: 93.6006, usercpu_time_millis_training: 93.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.9599, kappa: 0.7711, kb_relative_information_score: 1330.5303, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9595, predictive_accuracy: 0.961, prior_entropy: 0.4703, recall: 0.961, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.6176, scimark_benchmark: 1870.7932, usercpu_time_millis: 62.4004, usercpu_time_millis_training: 62.4004,

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