OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32000 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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32000 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.959, kappa: 0.8995, kb_relative_information_score: 28658.6557, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.1775, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.3894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.618, kappa: 0.0385, kb_relative_information_score: 2752.4081, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.6558, predictive_accuracy: 0.7141, prior_entropy: 0.863, recall: 0.7141, relative_absolute_error: 0.911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9415, kappa: 0.857, kb_relative_information_score: 26801.0988, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9417, predictive_accuracy: 0.9414, prior_entropy: 0.863, recall: 0.9414, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.4719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9525, kappa: 0.8834, kb_relative_information_score: 29.4994, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9524, predictive_accuracy: 0.9526, prior_entropy: 0.863, recall: 0.9526, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9652, kappa: 0.9146, kb_relative_information_score: 29501.7941, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.1525, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.3622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.7486, kappa: 0.3543, kb_relative_information_score: 9249.4506, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.827, predictive_accuracy: 0.7919, prior_entropy: 0.863, recall: 0.7919, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.8219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9597, kappa: 0.9012, kb_relative_information_score: 29207.886, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4252, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9613, kappa: 0.9053, kb_relative_information_score: 29630.3479, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.962, kappa: 0.9068, kb_relative_information_score: 29682.7483, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1422, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.3759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9294, kappa: 0.8266, kb_relative_information_score: 26159.5164, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9293, predictive_accuracy: 0.9296, prior_entropy: 0.863, recall: 0.9296, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9606, kappa: 0.9032, kb_relative_information_score: 28747.8257, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9605, predictive_accuracy: 0.9606, prior_entropy: 0.863, recall: 0.9606, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.3893, scimark_benchmark: 1964.2565, usercpu_time_millis: 898.539, usercpu_time_millis_testing: 2.473, usercpu_time_millis_training: 896.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9164, kappa: 0.7897, kb_relative_information_score: 24362.1115, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9215, predictive_accuracy: 0.9193, prior_entropy: 0.863, recall: 0.9193, relative_absolute_error: 0.3037, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.5212, scimark_benchmark: 1959.7253, usercpu_time_millis: 922.762, usercpu_time_millis_testing: 6.235, usercpu_time_millis_training: 916.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.953, kappa: 0.8844, kb_relative_information_score: 26955.1162, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.953, predictive_accuracy: 0.9532, prior_entropy: 0.863, recall: 0.9532, relative_absolute_error: 0.2332, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.4289, scimark_benchmark: 1848.388, usercpu_time_millis: 871.908, usercpu_time_millis_testing: 20.076, usercpu_time_millis_training: 851.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9633, kappa: 0.9098, kb_relative_information_score: 29059.4465, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9633, prior_entropy: 0.863, recall: 0.9633, relative_absolute_error: 0.1663, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.376, scimark_benchmark: 1844.8764, usercpu_time_millis: 1615.368, usercpu_time_millis_testing: 9.854, usercpu_time_millis_training: 1605.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9531, kappa: 0.885, kb_relative_information_score: 27848.422, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9531, predictive_accuracy: 0.9531, prior_entropy: 0.863, recall: 0.9531, relative_absolute_error: 0.2005, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.19, root_relative_squared_error: 0.4206, scimark_benchmark: 1257.2492, usercpu_time_millis: 5178.165, usercpu_time_millis_testing: 13.736, usercpu_time_millis_training: 5164.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9672, kappa: 0.9195, kb_relative_information_score: 29342.6619, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1599, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.3561, scimark_benchmark: 1752.0216, usercpu_time_millis: 343.51, usercpu_time_millis_testing: 7.099, usercpu_time_millis_training: 336.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9638, kappa: 0.9112, kb_relative_information_score: 28774.6107, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.9639, prior_entropy: 0.863, recall: 0.9639, relative_absolute_error: 0.1774, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.3747, scimark_benchmark: 1730.3001, usercpu_time_millis: 368.02, usercpu_time_millis_testing: 10.59, usercpu_time_millis_training: 357.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9398, kappa: 0.851, kb_relative_information_score: 25555.3663, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.94, predictive_accuracy: 0.9404, prior_entropy: 0.863, recall: 0.9404, relative_absolute_error: 0.2754, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.47, scimark_benchmark: 1744.3899, usercpu_time_millis: 407.733, usercpu_time_millis_testing: 5.709, usercpu_time_millis_training: 402.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9564, kappa: 0.8925, kb_relative_information_score: 26953.3459, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9565, predictive_accuracy: 0.9567, prior_entropy: 0.863, recall: 0.9567, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.188, root_relative_squared_error: 0.4162, scimark_benchmark: 1078.8858, usercpu_time_millis: 453.14, usercpu_time_millis_testing: 15.225, usercpu_time_millis_training: 437.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9296, kappa: 0.8246, kb_relative_information_score: 24539.1034, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9308, predictive_accuracy: 0.9309, prior_entropy: 0.863, recall: 0.9309, relative_absolute_error: 0.306, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.5, scimark_benchmark: 1729.728, usercpu_time_millis: 575.395, usercpu_time_millis_testing: 9.769, usercpu_time_millis_training: 565.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9518, kappa: 0.8819, kb_relative_information_score: 27690.1246, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9518, predictive_accuracy: 0.9519, prior_entropy: 0.863, recall: 0.9519, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.4261, scimark_benchmark: 1724.8648, usercpu_time_millis: 5027.014, usercpu_time_millis_testing: 14.094, usercpu_time_millis_training: 5012.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9574, kappa: 0.8947, kb_relative_information_score: 25817.8366, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9577, predictive_accuracy: 0.9578, prior_entropy: 0.863, recall: 0.9578, relative_absolute_error: 0.2845, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4278, scimark_benchmark: 1723.0604, usercpu_time_millis: 39.941, usercpu_time_millis_testing: 1.861, usercpu_time_millis_training: 38.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -3.9395, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1721.2388, usercpu_time_millis: 37.832, usercpu_time_millis_testing: 5.999, usercpu_time_millis_training: 31.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9253, kappa: 0.8137, kb_relative_information_score: 22123.1406, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9268, predictive_accuracy: 0.9269, prior_entropy: 0.863, recall: 0.9269, relative_absolute_error: 0.3904, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.5348, scimark_benchmark: 1701.2264, usercpu_time_millis: 131.871, usercpu_time_millis_testing: 7.323, usercpu_time_millis_training: 124.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.861, kappa: 0.6622, kb_relative_information_score: 16834.2192, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8625, predictive_accuracy: 0.8599, prior_entropy: 0.863, recall: 0.8599, relative_absolute_error: 0.5269, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6974, scimark_benchmark: 1870.6393, usercpu_time_millis: 141.842, usercpu_time_millis_testing: 2.227, usercpu_time_millis_training: 139.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.8783, kappa: 0.7024, kb_relative_information_score: 16694.9241, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8786, predictive_accuracy: 0.8781, prior_entropy: 0.863, recall: 0.8781, relative_absolute_error: 0.5436, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.6554, scimark_benchmark: 1735.7557, usercpu_time_millis: 166.697, usercpu_time_millis_testing: 6.779, usercpu_time_millis_training: 159.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9661, kappa: 0.9167, kb_relative_information_score: 29416.3835, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.966, predictive_accuracy: 0.9661, prior_entropy: 0.863, recall: 0.9661, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3613, scimark_benchmark: 1872.2948, usercpu_time_millis: 230.367, usercpu_time_millis_testing: 1.566, usercpu_time_millis_training: 228.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.7341, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1737.4645, usercpu_time_millis: 12.818, usercpu_time_millis_testing: 0.503, usercpu_time_millis_training: 12.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9251, kappa: 0.8131, kb_relative_information_score: 21017.9786, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9266, predictive_accuracy: 0.9267, prior_entropy: 0.863, recall: 0.9267, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.5552, scimark_benchmark: 1719.5862, usercpu_time_millis: 25.299, usercpu_time_millis_testing: 0.703, usercpu_time_millis_training: 24.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9189, kappa: 0.7963, kb_relative_information_score: 22310.0445, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9231, predictive_accuracy: 0.9215, prior_entropy: 0.863, recall: 0.9215, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.5369, scimark_benchmark: 1733.8252, usercpu_time_millis: 147.113, usercpu_time_millis_testing: 7.429, usercpu_time_millis_training: 139.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9307, kappa: 0.8274, kb_relative_information_score: 20351.9086, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9319, predictive_accuracy: 0.932, prior_entropy: 0.863, recall: 0.932, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.5631, scimark_benchmark: 1720.9659, usercpu_time_millis: 144.549, usercpu_time_millis_testing: 10.996, usercpu_time_millis_training: 133.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9327, kappa: 0.8328, kb_relative_information_score: 25237.5422, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9334, predictive_accuracy: 0.9337, prior_entropy: 0.863, recall: 0.9337, relative_absolute_error: 0.2731, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.4989, scimark_benchmark: 1721.7423, usercpu_time_millis: 301.51, usercpu_time_millis_testing: 1.045, usercpu_time_millis_training: 300.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9164, kappa: 0.7904, kb_relative_information_score: 20870.048, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9199, predictive_accuracy: 0.9189, prior_entropy: 0.863, recall: 0.9189, relative_absolute_error: 0.4265, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.5635, scimark_benchmark: 1729.2113, usercpu_time_millis: 339.042, usercpu_time_millis_testing: 7.7, usercpu_time_millis_training: 331.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.8687, kappa: 0.6797, kb_relative_information_score: 17379.8064, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8694, predictive_accuracy: 0.868, prior_entropy: 0.863, recall: 0.868, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3049, root_relative_squared_error: 0.6751, scimark_benchmark: 1718.6781, usercpu_time_millis: 396.171, usercpu_time_millis_testing: 6.566, usercpu_time_millis_training: 389.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9442, kappa: 0.8618, kb_relative_information_score: 24145.1899, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9448, predictive_accuracy: 0.945, prior_entropy: 0.863, recall: 0.945, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4822, scimark_benchmark: 1719.4427, usercpu_time_millis: 266.185, usercpu_time_millis_testing: 12.577, usercpu_time_millis_training: 253.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9432, kappa: 0.8601, kb_relative_information_score: 26622.2515, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9431, predictive_accuracy: 0.9435, prior_entropy: 0.863, recall: 0.9435, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.461, scimark_benchmark: 1728.4686, usercpu_time_millis: 320.414, usercpu_time_millis_testing: 1.379, usercpu_time_millis_training: 319.035,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9658, kappa: 0.9159, kb_relative_information_score: 29255.3207, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9657, predictive_accuracy: 0.9658, prior_entropy: 0.863, recall: 0.9658, relative_absolute_error: 0.1611, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.3663, scimark_benchmark: 1850.2875, usercpu_time_millis: 363.956, usercpu_time_millis_testing: 2.781, usercpu_time_millis_training: 361.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9606, kappa: 0.9033, kb_relative_information_score: 28719.2947, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9605, predictive_accuracy: 0.9606, prior_entropy: 0.863, recall: 0.9606, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3895, scimark_benchmark: 1738.3274, usercpu_time_millis: 3728.786, usercpu_time_millis_testing: 12.959, usercpu_time_millis_training: 3715.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.926, kappa: 0.8151, kb_relative_information_score: 24312.1229, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.928, predictive_accuracy: 0.9277, prior_entropy: 0.863, recall: 0.9277, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.505, scimark_benchmark: 1846.1643, usercpu_time_millis: 351.669, usercpu_time_millis_testing: 5.325, usercpu_time_millis_training: 346.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9514, kappa: 0.8808, kb_relative_information_score: 27361.832, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9514, predictive_accuracy: 0.9515, prior_entropy: 0.863, recall: 0.9515, relative_absolute_error: 0.2161, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.4313, scimark_benchmark: 1849.8294, usercpu_time_millis: 458.753, usercpu_time_millis_testing: 3.1, usercpu_time_millis_training: 455.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9532, kappa: 0.885, kb_relative_information_score: 26984.5408, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9532, predictive_accuracy: 0.9534, prior_entropy: 0.863, recall: 0.9534, relative_absolute_error: 0.232, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4284, scimark_benchmark: 2116.0843, usercpu_time_millis: 665.927, usercpu_time_millis_testing: 11.796, usercpu_time_millis_training: 654.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9383, kappa: 0.8472, kb_relative_information_score: 25951.3048, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9385, predictive_accuracy: 0.9389, prior_entropy: 0.863, recall: 0.9389, relative_absolute_error: 0.2574, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.4726, scimark_benchmark: 1731.7273, usercpu_time_millis: 1197.167, usercpu_time_millis_testing: 17.009, usercpu_time_millis_training: 1180.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9337, kappa: 0.8352, kb_relative_information_score: 25321.8879, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9344, predictive_accuracy: 0.9347, prior_entropy: 0.863, recall: 0.9347, relative_absolute_error: 0.2726, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.4953, scimark_benchmark: 1838.1513, usercpu_time_millis: 259.548, usercpu_time_millis_testing: 1.769, usercpu_time_millis_training: 257.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9187, kappa: 0.7957, kb_relative_information_score: 24135.2665, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.923, predictive_accuracy: 0.9213, prior_entropy: 0.863, recall: 0.9213, relative_absolute_error: 0.3185, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.5145, scimark_benchmark: 1832.0698, usercpu_time_millis: 200.227, usercpu_time_millis_testing: 2.139, usercpu_time_millis_training: 198.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9316, kappa: 0.83, kb_relative_information_score: 25154.0351, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9323, predictive_accuracy: 0.9327, prior_entropy: 0.863, recall: 0.9327, relative_absolute_error: 0.2742, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.5034, scimark_benchmark: 1799.7712, usercpu_time_millis: 4162.254, usercpu_time_millis_testing: 12.994, usercpu_time_millis_training: 4149.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.8766, kappa: 0.6985, kb_relative_information_score: 17012.4465, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.877, predictive_accuracy: 0.8763, prior_entropy: 0.863, recall: 0.8763, relative_absolute_error: 0.5326, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.6527, scimark_benchmark: 1740.3221, usercpu_time_millis: 142.257, usercpu_time_millis_testing: 6.027, usercpu_time_millis_training: 136.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9526, kappa: 0.8837, kb_relative_information_score: 28460.6313, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9525, predictive_accuracy: 0.9526, prior_entropy: 0.863, recall: 0.9526, relative_absolute_error: 0.1764, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4219, scimark_benchmark: 1742.5008, usercpu_time_millis: 13.04, usercpu_time_millis_testing: 0.565, usercpu_time_millis_training: 12.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8479, kappa: 0.6101, kb_relative_information_score: 11909.4698, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8756, predictive_accuracy: 0.8616, prior_entropy: 0.863, recall: 0.8616, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.335, root_relative_squared_error: 0.7416, scimark_benchmark: 1853.2107, usercpu_time_millis: 38.879, usercpu_time_millis_testing: 3.168, usercpu_time_millis_training: 35.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -0.2316, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1853.454, usercpu_time_millis: 52.258, usercpu_time_millis_testing: 5.768, usercpu_time_millis_training: 46.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9462, kappa: 0.8678, kb_relative_information_score: 26963.2124, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9461, predictive_accuracy: 0.9464, prior_entropy: 0.863, recall: 0.9464, relative_absolute_error: 0.2259, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4495, scimark_benchmark: 1850.2875, usercpu_time_millis: 3996.937, usercpu_time_millis_testing: 12.689, usercpu_time_millis_training: 3984.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9506, kappa: 0.8788, kb_relative_information_score: 27688.3686, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9505, predictive_accuracy: 0.9506, prior_entropy: 0.863, recall: 0.9506, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4294, scimark_benchmark: 1844.13, usercpu_time_millis: 1670.524, usercpu_time_millis_testing: 4.813, usercpu_time_millis_training: 1665.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9047, kappa: 0.7641, kb_relative_information_score: 21876.0682, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9045, predictive_accuracy: 0.9058, prior_entropy: 0.863, recall: 0.9058, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.5853, scimark_benchmark: 1847.258, usercpu_time_millis: 1003.626, usercpu_time_millis_testing: 4.334, usercpu_time_millis_training: 999.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9453, kappa: 0.8653, kb_relative_information_score: 26415.7191, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9453, predictive_accuracy: 0.9456, prior_entropy: 0.863, recall: 0.9456, relative_absolute_error: 0.2466, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4517, scimark_benchmark: 1747.9995, usercpu_time_millis: 1212.089, usercpu_time_millis_testing: 26.989, usercpu_time_millis_training: 1185.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9615, kappa: 0.9054, kb_relative_information_score: 28549.4757, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9615, prior_entropy: 0.863, recall: 0.9615, relative_absolute_error: 0.1829, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.385, scimark_benchmark: 1782.3552, usercpu_time_millis: 1009.298, usercpu_time_millis_testing: 14.288, usercpu_time_millis_training: 995.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.2971, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1733.2479, usercpu_time_millis: 79.208, usercpu_time_millis_testing: 7.06, usercpu_time_millis_training: 72.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9497, kappa: 0.8767, kb_relative_information_score: 27896.719, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9497, predictive_accuracy: 0.9497, prior_entropy: 0.863, recall: 0.9497, relative_absolute_error: 0.1967, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.4282, scimark_benchmark: 1759.8781, usercpu_time_millis: 5707.685, usercpu_time_millis_testing: 15.61, usercpu_time_millis_training: 5692.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9185, kappa: 0.7952, kb_relative_information_score: 22507.2629, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9228, predictive_accuracy: 0.9211, prior_entropy: 0.863, recall: 0.9211, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.5353, scimark_benchmark: 1852.9988, usercpu_time_millis: 179.983, usercpu_time_millis_testing: 3.789, usercpu_time_millis_training: 176.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9485, kappa: 0.8735, kb_relative_information_score: 27074.0557, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9484, predictive_accuracy: 0.9486, prior_entropy: 0.863, recall: 0.9486, relative_absolute_error: 0.2241, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4422, scimark_benchmark: 1841.121, usercpu_time_millis: 2193.279, usercpu_time_millis_testing: 13.229, usercpu_time_millis_training: 2180.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9278, kappa: 0.8199, kb_relative_information_score: 24370.5846, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9296, predictive_accuracy: 0.9294, prior_entropy: 0.863, recall: 0.9294, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.5029, scimark_benchmark: 1736.5552, usercpu_time_millis: 235.696, usercpu_time_millis_testing: 7.309, usercpu_time_millis_training: 228.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9325, kappa: 0.8327, kb_relative_information_score: 25545.3318, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9328, predictive_accuracy: 0.9333, prior_entropy: 0.863, recall: 0.9333, relative_absolute_error: 0.2639, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.4932, scimark_benchmark: 1730.1287, usercpu_time_millis: 545.557, usercpu_time_millis_testing: 1.801, usercpu_time_millis_training: 543.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9688, kappa: 0.9234, kb_relative_information_score: 29872.8442, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9687, predictive_accuracy: 0.9688, prior_entropy: 0.863, recall: 0.9688, relative_absolute_error: 0.1415, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.3478, scimark_benchmark: 1737.4053, usercpu_time_millis: 618.801, usercpu_time_millis_testing: 4.268, usercpu_time_millis_training: 614.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9583, kappa: 0.8976, kb_relative_information_score: 28306.5218, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9582, predictive_accuracy: 0.9583, prior_entropy: 0.863, recall: 0.9583, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.398, scimark_benchmark: 2115.8282, usercpu_time_millis: 102.931, usercpu_time_millis_testing: 1.274, usercpu_time_millis_training: 101.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8683, kappa: 0.6799, kb_relative_information_score: 17260.6393, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8697, predictive_accuracy: 0.8674, prior_entropy: 0.863, recall: 0.8674, relative_absolute_error: 0.5088, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.6857, scimark_benchmark: 1751.558, usercpu_time_millis: 232.576, usercpu_time_millis_testing: 1.953, usercpu_time_millis_training: 230.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9428, kappa: 0.859, kb_relative_information_score: 26299.6256, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9428, predictive_accuracy: 0.9432, prior_entropy: 0.863, recall: 0.9432, relative_absolute_error: 0.2453, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.4658, scimark_benchmark: 1740.7867, usercpu_time_millis: 2970.083, usercpu_time_millis_testing: 14.868, usercpu_time_millis_training: 2955.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.918, kappa: 0.7939, kb_relative_information_score: 23818.0347, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9225, predictive_accuracy: 0.9207, prior_entropy: 0.863, recall: 0.9207, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.5188, scimark_benchmark: 1736.779, usercpu_time_millis: 13.806, usercpu_time_millis_testing: 0.542, usercpu_time_millis_training: 13.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9609, kappa: 0.9042, kb_relative_information_score: 29034.6902, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.961, prior_entropy: 0.863, recall: 0.961, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3848, scimark_benchmark: 1827.7063, usercpu_time_millis: 2981.01, usercpu_time_millis_testing: 8.438, usercpu_time_millis_training: 2972.572,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs