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Supervised Classification on fri_c2_500_5

Supervised Classification on fri_c2_500_5

Task 3657 Supervised Classification fri_c2_500_5 569 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: 0.9237, f_measure: 0.853, kappa: 0.6932, kb_relative_information_score: 294.7289, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8536, predictive_accuracy: 0.854, prior_entropy: 0.9735, recall: 0.854, relative_absolute_error: 0.4311, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.6483, scimark_benchmark: 1342.4239, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.7916, kappa: 0.5731, kb_relative_information_score: 186.1757, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.7978, predictive_accuracy: 0.79, prior_entropy: 0.9735, recall: 0.79, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.8226, scimark_benchmark: 1349.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.882, kappa: 0.7548, kb_relative_information_score: 359.211, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8819, predictive_accuracy: 0.882, prior_entropy: 0.9735, recall: 0.882, relative_absolute_error: 0.2874, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6476, scimark_benchmark: 854.5188, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8653, kappa: 0.7193, kb_relative_information_score: 320.4072, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8656, predictive_accuracy: 0.866, prior_entropy: 0.9735, recall: 0.866, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6529, scimark_benchmark: 916.5769, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.8832, kappa: 0.7564, kb_relative_information_score: 364.3214, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 0.9735, recall: 0.884, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6729, scimark_benchmark: 1322.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.867, kappa: 0.7224, kb_relative_information_score: 291.8814, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8679, predictive_accuracy: 0.868, prior_entropy: 0.9735, recall: 0.868, relative_absolute_error: 0.4462, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.664, scimark_benchmark: 1339.4964, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.833, kappa: 0.6517, kb_relative_information_score: 291.1216, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8332, predictive_accuracy: 0.834, prior_entropy: 0.9735, recall: 0.834, relative_absolute_error: 0.4314, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7245, scimark_benchmark: 1314.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.853, kappa: 0.6932, kb_relative_information_score: 294.7289, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8536, predictive_accuracy: 0.854, prior_entropy: 0.9735, recall: 0.854, relative_absolute_error: 0.4311, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.6483, scimark_benchmark: 883.2709, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8653, kappa: 0.7193, kb_relative_information_score: 320.4072, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8656, predictive_accuracy: 0.866, prior_entropy: 0.9735, recall: 0.866, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6529, scimark_benchmark: 1328.941, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8733, kappa: 0.7356, kb_relative_information_score: 328.3848, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8737, predictive_accuracy: 0.874, prior_entropy: 0.9735, recall: 0.874, relative_absolute_error: 0.3635, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6305, scimark_benchmark: 1314.0383, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.8377, kappa: 0.6623, kb_relative_information_score: 296.8434, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8375, predictive_accuracy: 0.838, prior_entropy: 0.9735, recall: 0.838, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.736, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8333, kappa: 0.6528, kb_relative_information_score: 296.7246, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8332, predictive_accuracy: 0.834, prior_entropy: 0.9735, recall: 0.834, relative_absolute_error: 0.4176, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.7055, scimark_benchmark: 833.3193, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.6965, kappa: 0.3673, kb_relative_information_score: 118.1736, mean_absolute_error: 0.3751, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.6957, predictive_accuracy: 0.698, prior_entropy: 0.9735, recall: 0.698, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8932, scimark_benchmark: 1316.6866, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8972, kappa: 0.7853, kb_relative_information_score: 379.246, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8985, predictive_accuracy: 0.898, prior_entropy: 0.9735, recall: 0.898, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.6357, scimark_benchmark: 1308.3432, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.833, kappa: 0.6517, kb_relative_information_score: 291.1216, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8332, predictive_accuracy: 0.834, prior_entropy: 0.9735, recall: 0.834, relative_absolute_error: 0.4314, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7245, scimark_benchmark: 1317.1597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7026, f_measure: 0.7124, kappa: 0.4039, kb_relative_information_score: 196.0863, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.713, predictive_accuracy: 0.712, prior_entropy: 0.9735, recall: 0.712, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0937, scimark_benchmark: 855.8522, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.7838, kappa: 0.5582, kb_relative_information_score: 194.0382, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.7916, predictive_accuracy: 0.782, prior_entropy: 0.9735, recall: 0.782, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8146, scimark_benchmark: 912.7324, usercpu_time_millis: 570, usercpu_time_millis_testing: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9081, kappa: 0.8096, kb_relative_information_score: 356.6789, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9084, predictive_accuracy: 0.908, prior_entropy: 0.9735, recall: 0.908, relative_absolute_error: 0.3015, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.5629, scimark_benchmark: 1319.4881, usercpu_time_millis: 3280, usercpu_time_millis_testing: 3280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.8737, kappa: 0.7373, kb_relative_information_score: 366.976, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8737, predictive_accuracy: 0.874, prior_entropy: 0.9735, recall: 0.874, relative_absolute_error: 0.2616, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7234, scimark_benchmark: 889.3151, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5459, f_measure: 0.3532, kappa: 0.0684, kb_relative_information_score: -25.063, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.6874, predictive_accuracy: 0.458, prior_entropy: 0.9735, recall: 0.458, relative_absolute_error: 1.0313, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0129, scimark_benchmark: 1330.6247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.895, kappa: 0.7805, kb_relative_information_score: 390.1833, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.897, predictive_accuracy: 0.896, prior_entropy: 0.9735, recall: 0.896, relative_absolute_error: 0.2159, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6572, scimark_benchmark: 1313.6093, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8808, kappa: 0.7508, kb_relative_information_score: 344.6102, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8829, predictive_accuracy: 0.882, prior_entropy: 0.9735, recall: 0.882, relative_absolute_error: 0.3275, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.6648, scimark_benchmark: 1328.941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8763, kappa: 0.7411, kb_relative_information_score: 264.7797, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8801, predictive_accuracy: 0.878, prior_entropy: 0.9735, recall: 0.878, relative_absolute_error: 0.5198, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6364, scimark_benchmark: 1308.3432, usercpu_time_millis: 180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8567, kappa: 0.7006, kb_relative_information_score: 243.5058, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.858, predictive_accuracy: 0.858, prior_entropy: 0.9735, recall: 0.858, relative_absolute_error: 0.5605, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.666, scimark_benchmark: 1338.9438, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9077, kappa: 0.8077, kb_relative_information_score: 365.8113, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9078, predictive_accuracy: 0.908, prior_entropy: 0.9735, recall: 0.908, relative_absolute_error: 0.2834, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.5285, scimark_benchmark: 1310.6407, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8922, kappa: 0.7764, kb_relative_information_score: 385.9638, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8924, predictive_accuracy: 0.892, prior_entropy: 0.9735, recall: 0.892, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.6697, scimark_benchmark: 1335.5424, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.8463, kappa: 0.6815, kb_relative_information_score: 308.8255, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8468, predictive_accuracy: 0.846, prior_entropy: 0.9735, recall: 0.846, relative_absolute_error: 0.3949, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7571, scimark_benchmark: 1303.6621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.8463, kappa: 0.6815, kb_relative_information_score: 308.8255, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8468, predictive_accuracy: 0.846, prior_entropy: 0.9735, recall: 0.846, relative_absolute_error: 0.3949, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7571, scimark_benchmark: 934.4732, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.833, kappa: 0.6517, kb_relative_information_score: 291.1216, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8332, predictive_accuracy: 0.834, prior_entropy: 0.9735, recall: 0.834, relative_absolute_error: 0.4314, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7245, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.8034, kappa: 0.5969, kb_relative_information_score: 156.3799, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8089, predictive_accuracy: 0.802, prior_entropy: 0.9735, recall: 0.802, relative_absolute_error: 0.7219, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.8991, scimark_benchmark: 1326.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, f_measure: 0.8034, kappa: 0.5969, kb_relative_information_score: 156.2198, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8089, predictive_accuracy: 0.802, prior_entropy: 0.9735, recall: 0.802, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8992, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.8154, kappa: 0.6155, kb_relative_information_score: 200.2555, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8152, predictive_accuracy: 0.816, prior_entropy: 0.9735, recall: 0.816, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.7752, scimark_benchmark: 1315.4655, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.6965, kappa: 0.3673, kb_relative_information_score: 118.2184, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.6957, predictive_accuracy: 0.698, prior_entropy: 0.9735, recall: 0.698, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8932, scimark_benchmark: 1334.8495, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.7899, kappa: 0.5734, kb_relative_information_score: 197.54, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8019, predictive_accuracy: 0.788, prior_entropy: 0.9735, recall: 0.788, relative_absolute_error: 0.6349, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8205, scimark_benchmark: 1341.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8256, kappa: 0.6372, kb_relative_information_score: 283.0913, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8254, predictive_accuracy: 0.826, prior_entropy: 0.9735, recall: 0.826, relative_absolute_error: 0.4482, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.7063, scimark_benchmark: 1347.3845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.853, kappa: 0.6932, kb_relative_information_score: 294.7289, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8536, predictive_accuracy: 0.854, prior_entropy: 0.9735, recall: 0.854, relative_absolute_error: 0.4311, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.6483, scimark_benchmark: 1344.3348, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8756, kappa: 0.7409, kb_relative_information_score: 353.6319, mean_absolute_error: 0.1438, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8756, predictive_accuracy: 0.876, prior_entropy: 0.9735, recall: 0.876, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.6866, scimark_benchmark: 1339.4189, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8653, kappa: 0.7193, kb_relative_information_score: 320.4072, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8656, predictive_accuracy: 0.866, prior_entropy: 0.9735, recall: 0.866, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6529, scimark_benchmark: 1373.2982, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.853, kappa: 0.6932, kb_relative_information_score: 294.7289, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8536, predictive_accuracy: 0.854, prior_entropy: 0.9735, recall: 0.854, relative_absolute_error: 0.4311, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.6483, scimark_benchmark: 1339.3974, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.9031, kappa: 0.7974, kb_relative_information_score: 343.8206, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9052, predictive_accuracy: 0.904, prior_entropy: 0.9735, recall: 0.904, relative_absolute_error: 0.3355, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.5671, scimark_benchmark: 924.3698, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8952, kappa: 0.7812, kb_relative_information_score: 347.2363, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8964, predictive_accuracy: 0.896, prior_entropy: 0.9735, recall: 0.896, relative_absolute_error: 0.3274, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.5647, scimark_benchmark: 915.9693, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8795, kappa: 0.7488, kb_relative_information_score: 344.7033, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8797, predictive_accuracy: 0.88, prior_entropy: 0.9735, recall: 0.88, relative_absolute_error: 0.3251, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6761, scimark_benchmark: 1354.2491, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.8862, kappa: 0.7617, kb_relative_information_score: 381.7443, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8913, predictive_accuracy: 0.888, prior_entropy: 0.9735, recall: 0.888, relative_absolute_error: 0.2325, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.682, scimark_benchmark: 1320.2556, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5211, f_measure: 0.2995, kappa: 0.0345, kb_relative_information_score: -99.2786, mean_absolute_error: 0.568, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.6741, predictive_accuracy: 0.432, prior_entropy: 0.9735, recall: 0.432, relative_absolute_error: 1.1793, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.7537, root_relative_squared_error: 1.5359, scimark_benchmark: 1287.514, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.8618, kappa: 0.7127, kb_relative_information_score: 339.3024, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8617, predictive_accuracy: 0.862, prior_entropy: 0.9735, recall: 0.862, relative_absolute_error: 0.325, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6825, scimark_benchmark: 1358.4523, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.8225, kappa: 0.6292, kb_relative_information_score: 314.2323, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8232, predictive_accuracy: 0.824, prior_entropy: 0.9735, recall: 0.824, relative_absolute_error: 0.3654, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.855, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8897, kappa: 0.7703, kb_relative_information_score: 383.854, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8897, predictive_accuracy: 0.89, prior_entropy: 0.9735, recall: 0.89, relative_absolute_error: 0.2284, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6759, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4451, kb_relative_information_score: -0.0733, mean_absolute_error: 0.4817, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.3552, predictive_accuracy: 0.596, prior_entropy: 0.9735, recall: 0.596, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4907, root_relative_squared_error: 1, scimark_benchmark: 1358.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.8795, kappa: 0.7488, kb_relative_information_score: 361.0604, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8797, predictive_accuracy: 0.88, prior_entropy: 0.9735, recall: 0.88, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.6788, scimark_benchmark: 1605.6303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.7892, kappa: 0.566, kb_relative_information_score: 264.4472, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.7925, predictive_accuracy: 0.788, prior_entropy: 0.9735, recall: 0.788, relative_absolute_error: 0.4688, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.9091, scimark_benchmark: 931.2336, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.7982, kappa: 0.5815, kb_relative_information_score: 264.0171, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.7985, predictive_accuracy: 0.798, prior_entropy: 0.9735, recall: 0.798, relative_absolute_error: 0.4737, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8129, scimark_benchmark: 945.6434, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8033, kappa: 0.5904, kb_relative_information_score: 213.9791, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8031, predictive_accuracy: 0.804, prior_entropy: 0.9735, recall: 0.804, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7661, scimark_benchmark: 941.7954, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8033, kappa: 0.5904, kb_relative_information_score: 213.9791, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8031, predictive_accuracy: 0.804, prior_entropy: 0.9735, recall: 0.804, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7661, scimark_benchmark: 923.7642, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8033, kappa: 0.5904, kb_relative_information_score: 213.9791, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8031, predictive_accuracy: 0.804, prior_entropy: 0.9735, recall: 0.804, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7661, scimark_benchmark: 894.7455, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8992, kappa: 0.7897, kb_relative_information_score: 388.7013, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9004, predictive_accuracy: 0.9, prior_entropy: 0.9735, recall: 0.9, relative_absolute_error: 0.2209, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.609, scimark_benchmark: 911.3823, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.8792, kappa: 0.748, kb_relative_information_score: 368.532, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9735, recall: 0.88, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6662, scimark_benchmark: 943.2817, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8551, kappa: 0.6976, kb_relative_information_score: 343.0174, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8555, predictive_accuracy: 0.856, prior_entropy: 0.9735, recall: 0.856, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.726, scimark_benchmark: 911.3823, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.8033, kappa: 0.5956, kb_relative_information_score: 293.2538, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8074, predictive_accuracy: 0.802, prior_entropy: 0.9735, recall: 0.802, relative_absolute_error: 0.4069, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8382, scimark_benchmark: 933.8635, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.7916, kappa: 0.5731, kb_relative_information_score: 283.2426, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.7978, predictive_accuracy: 0.79, prior_entropy: 0.9735, recall: 0.79, relative_absolute_error: 0.4241, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8757, scimark_benchmark: 938.4285, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9238, kappa: 0.8414, kb_relative_information_score: 399.9515, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9239, predictive_accuracy: 0.924, prior_entropy: 0.9735, recall: 0.924, relative_absolute_error: 0.2075, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.5101, scimark_benchmark: 936.6206, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9196, kappa: 0.8323, kb_relative_information_score: 387.7889, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9202, predictive_accuracy: 0.92, prior_entropy: 0.9735, recall: 0.92, relative_absolute_error: 0.2371, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.5024, scimark_benchmark: 924.6116, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9077, kappa: 0.8077, kb_relative_information_score: 365.8113, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9078, predictive_accuracy: 0.908, prior_entropy: 0.9735, recall: 0.908, relative_absolute_error: 0.2834, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.5285, scimark_benchmark: 924.6116, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8831, kappa: 0.756, kb_relative_information_score: 331.4007, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8842, predictive_accuracy: 0.884, prior_entropy: 0.9735, recall: 0.884, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.5995, scimark_benchmark: 947.9494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.867, kappa: 0.7224, kb_relative_information_score: 291.8814, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8679, predictive_accuracy: 0.868, prior_entropy: 0.9735, recall: 0.868, relative_absolute_error: 0.4462, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.664, scimark_benchmark: 931.2336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4451, kb_relative_information_score: -0.0733, mean_absolute_error: 0.4817, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.3552, predictive_accuracy: 0.596, prior_entropy: 0.9735, recall: 0.596, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4907, root_relative_squared_error: 1, scimark_benchmark: 943.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.6832, kappa: 0.3816, kb_relative_information_score: 104.3728, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.7247, predictive_accuracy: 0.682, prior_entropy: 0.9735, recall: 0.682, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.9111, scimark_benchmark: 943.2745, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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