OpenML
Supervised Classification on pc3

Supervised Classification on pc3

Task 3903 Supervised Classification pc3 143129 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6718, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -31.5482, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.9947, scimark_benchmark: 1256.4022, usercpu_time_millis: 10.398, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 10.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, f_measure: 0.8535, kappa: 0.0318, kb_relative_information_score: -46.3612, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.884, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 0.9682, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.9791, scimark_benchmark: 1249.3553, usercpu_time_millis: 5.3, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 5.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -21.9424, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.875, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.9852, scimark_benchmark: 1283.7053, usercpu_time_millis: 6.508, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 6.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.8571, kappa: 0.0692, kb_relative_information_score: -188.1919, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8524, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.9476, scimark_benchmark: 1253.3961, usercpu_time_millis: 8.308, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 8.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.8506, kappa: 0.0155, kb_relative_information_score: -22.7793, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8357, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.9672, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.9885, scimark_benchmark: 1279.6924, usercpu_time_millis: 7.075, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 6.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6842, f_measure: 0.8533, kappa: 0.0354, kb_relative_information_score: -13.7609, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8484, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.9579, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.298, root_relative_squared_error: 0.9832, scimark_benchmark: 1256.4759, usercpu_time_millis: 6.156, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 6.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7004, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -14.9195, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.875, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9788, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3, root_relative_squared_error: 0.9896, scimark_benchmark: 1278.7764, usercpu_time_millis: 5.449, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 5.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5701, f_measure: 0.8633, kappa: 0.1035, kb_relative_information_score: 84.454, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8961, predictive_accuracy: 0.9028, prior_entropy: 0.478, recall: 0.9028, relative_absolute_error: 0.9507, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.9724, scimark_benchmark: 1254.6305, usercpu_time_millis: 16.852, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 16.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -40.9409, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9826, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.9874, scimark_benchmark: 1249.617, usercpu_time_millis: 6.53, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 6.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.743, f_measure: 0.8535, kappa: 0.0318, kb_relative_information_score: -46.2051, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.884, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 0.9626, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.9741, scimark_benchmark: 1236.9755, usercpu_time_millis: 5.535, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 5.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7035, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -27.9464, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.9948, scimark_benchmark: 1282.3834, usercpu_time_millis: 7.935, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 7.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5726, f_measure: 0.8633, kappa: 0.1035, kb_relative_information_score: 81.5324, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8961, predictive_accuracy: 0.9028, prior_entropy: 0.478, recall: 0.9028, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9734, scimark_benchmark: 1275.5299, usercpu_time_millis: 14.678, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 14.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.8632, kappa: 0.1067, kb_relative_information_score: -32.0116, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8774, predictive_accuracy: 0.9008, prior_entropy: 0.478, recall: 0.9008, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9735, scimark_benchmark: 1252.3569, usercpu_time_millis: 17.597, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 17.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5854, f_measure: 0.8633, kappa: 0.1035, kb_relative_information_score: 79.6741, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8961, predictive_accuracy: 0.9028, prior_entropy: 0.478, recall: 0.9028, relative_absolute_error: 0.9531, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.295, root_relative_squared_error: 0.9732, scimark_benchmark: 1270.9604, usercpu_time_millis: 14.868, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 14.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6338, f_measure: 0.8657, kappa: 0.1217, kb_relative_information_score: 74.9069, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8937, predictive_accuracy: 0.9034, prior_entropy: 0.478, recall: 0.9034, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.972, scimark_benchmark: 1287.9712, usercpu_time_millis: 17.443, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 17.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6629, f_measure: 0.8565, kappa: 0.0578, kb_relative_information_score: 5.4013, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8644, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9622, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.9857, scimark_benchmark: 1283.0575, usercpu_time_millis: 5.536, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 5.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4696, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -4.9015, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3042, root_relative_squared_error: 1.0034, scimark_benchmark: 1252.363, usercpu_time_millis: 4.403, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 4.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5477, f_measure: 0.8486, kappa: -0.0025, kb_relative_information_score: -28.3517, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8056, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3043, root_relative_squared_error: 1.0039, scimark_benchmark: 1283.5199, usercpu_time_millis: 9.523, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 9.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.8532, kappa: 0.0303, kb_relative_information_score: -31.9899, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8686, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.9856, scimark_benchmark: 1252.8294, usercpu_time_millis: 7.866, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 7.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5113, f_measure: 0.8492, kb_relative_information_score: 3.3804, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9995, scimark_benchmark: 1243.0895, usercpu_time_millis: 4.982, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 4.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.8591, kappa: 0.0858, kb_relative_information_score: -155.8517, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8547, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.9641, scimark_benchmark: 1256.3203, usercpu_time_millis: 5.683, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 5.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6024, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 83.6459, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.478, recall: 0.904, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.971, scimark_benchmark: 1251.7756, usercpu_time_millis: 17.473, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 17.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.8616, kappa: 0.1002, kb_relative_information_score: -50.7294, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8645, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.9618, scimark_benchmark: 1271.573, usercpu_time_millis: 7.202, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 7.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7826, f_measure: 0.8544, kappa: 0.0445, kb_relative_information_score: -52.0684, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8506, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.9616, scimark_benchmark: 1288.0248, usercpu_time_millis: 5.028, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 4.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4799, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -5.6836, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3041, root_relative_squared_error: 1.0033, scimark_benchmark: 1281.9749, usercpu_time_millis: 4.583, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 4.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 82.724, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.478, recall: 0.904, relative_absolute_error: 0.947, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.9711, scimark_benchmark: 1245.4563, usercpu_time_millis: 18.606, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 18.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -24.0039, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9853, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.9913, scimark_benchmark: 1251.5939, usercpu_time_millis: 8.412, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 8.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -9.339, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.9983, scimark_benchmark: 1252.6422, usercpu_time_millis: 6.458, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 6.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6266, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: 6.9372, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.9086, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.9947, scimark_benchmark: 1252.1874, usercpu_time_millis: 7.602, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 7.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -31.619, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.9873, scimark_benchmark: 1279.7697, usercpu_time_millis: 8.72, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 8.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -28.3523, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.9926, scimark_benchmark: 1270.9856, usercpu_time_millis: 9.128, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 9.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6178, f_measure: 0.8492, kb_relative_information_score: 4.4047, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.9992, scimark_benchmark: 1281.2805, usercpu_time_millis: 7.262, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 7.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6585, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -48.6606, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.875, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.9922, scimark_benchmark: 1248.8403, usercpu_time_millis: 73.163, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 73.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.8639, kappa: 0.1177, kb_relative_information_score: -149.9455, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8673, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 0.8815, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.9416, scimark_benchmark: 1254.5584, usercpu_time_millis: 10.533, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 10.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.8619, kappa: 0.1096, kb_relative_information_score: -136.8378, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8575, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.8854, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.9532, scimark_benchmark: 1284.0135, usercpu_time_millis: 10.338, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 10.003,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.8594, kappa: 0.0783, kb_relative_information_score: 44.6281, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8726, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.9789, scimark_benchmark: 1254.421, usercpu_time_millis: 18.589, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 18.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5349, f_measure: 0.8492, kb_relative_information_score: 2.589, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9998, scimark_benchmark: 1249.0581, usercpu_time_millis: 7.533, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 7.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5271, f_measure: 0.8492, kb_relative_information_score: 2.4257, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9997, scimark_benchmark: 1257.4389, usercpu_time_millis: 6.862, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 6.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -28.7617, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.9917, scimark_benchmark: 1268.8889, usercpu_time_millis: 8.165, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 8.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.8528, kappa: 0.029, kb_relative_information_score: -48.7687, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8583, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9556, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.9703, scimark_benchmark: 1277.465, usercpu_time_millis: 5.065, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 4.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, f_measure: 0.8525, kappa: 0.0276, kb_relative_information_score: -253.2976, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8509, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.9737, scimark_benchmark: 1250.411, usercpu_time_millis: 4.909, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 4.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5431, f_measure: 0.8492, kb_relative_information_score: 2.9259, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9997, scimark_benchmark: 1244.4286, usercpu_time_millis: 6.236, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 6.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.8699, kappa: 0.1624, kb_relative_information_score: -106.586, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8759, predictive_accuracy: 0.9015, prior_entropy: 0.478, recall: 0.9015, relative_absolute_error: 0.8915, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.9488, scimark_benchmark: 1246.5517, usercpu_time_millis: 14.212, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 14.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4498, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: 5.8599, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.9086, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.9974, scimark_benchmark: 1255.4016, usercpu_time_millis: 5.591, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 5.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.8622, kappa: 0.1066, kb_relative_information_score: -169.9995, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8625, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2866, root_relative_squared_error: 0.9454, scimark_benchmark: 1272.5838, usercpu_time_millis: 8.933, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 8.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, f_measure: 0.8486, kappa: -0.0025, kb_relative_information_score: -68.0533, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8056, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.9926, scimark_benchmark: 1260.6746, usercpu_time_millis: 14.598, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 14.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -32.7954, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.9949, scimark_benchmark: 1253.5659, usercpu_time_millis: 11.955, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 11.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.8666, kappa: 0.1406, kb_relative_information_score: -131.7439, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8679, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 0.8783, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.945, scimark_benchmark: 1278.0524, usercpu_time_millis: 12.62, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 12.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.858, kappa: 0.0812, kb_relative_information_score: -118.8876, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8494, predictive_accuracy: 0.8938, prior_entropy: 0.478, recall: 0.8938, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.9588, scimark_benchmark: 1279.0388, usercpu_time_millis: 9.312, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 9.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -16.3996, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.9986, scimark_benchmark: 1274.1449, usercpu_time_millis: 6.288, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 6.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.8612, kappa: 0.0986, kb_relative_information_score: -79.2031, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.862, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9004, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.9572, scimark_benchmark: 1275.8351, usercpu_time_millis: 5.294, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 5.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6378, f_measure: 0.8616, kappa: 0.0917, kb_relative_information_score: 64.9728, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.887, predictive_accuracy: 0.9015, prior_entropy: 0.478, recall: 0.9015, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.9779, scimark_benchmark: 1246.3468, usercpu_time_millis: 16.27, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.8632, kappa: 0.1067, kb_relative_information_score: -61.1946, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8774, predictive_accuracy: 0.9008, prior_entropy: 0.478, recall: 0.9008, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.9687, scimark_benchmark: 1248.2263, usercpu_time_millis: 16.412, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 16.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5338, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -3.8693, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3041, root_relative_squared_error: 1.0031, scimark_benchmark: 1285.8788, usercpu_time_millis: 5.745, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 5.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.8492, kb_relative_information_score: 5.5082, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.301, root_relative_squared_error: 0.9928, scimark_benchmark: 1252.9847, usercpu_time_millis: 7.702, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 7.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5724, f_measure: 0.8633, kappa: 0.1035, kb_relative_information_score: 81.6752, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8961, predictive_accuracy: 0.9028, prior_entropy: 0.478, recall: 0.9028, relative_absolute_error: 0.9526, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.295, root_relative_squared_error: 0.9733, scimark_benchmark: 1288.6345, usercpu_time_millis: 17.788, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 17.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6636, f_measure: 0.8486, kappa: -0.0025, kb_relative_information_score: -76.5936, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8056, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.9957, scimark_benchmark: 1288.7431, usercpu_time_millis: 18.183, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 18.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -25.1483, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.875, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.9854, scimark_benchmark: 1284.9285, usercpu_time_millis: 8.915, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 8.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -11.4329, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.875, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9791, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.9901, scimark_benchmark: 1281.0797, usercpu_time_millis: 8.088, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 7.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5162, f_measure: 0.8492, kb_relative_information_score: 2.6011, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1, scimark_benchmark: 1260.9531, usercpu_time_millis: 5.679, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 5.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6081, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 81.3195, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.478, recall: 0.904, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.9712, scimark_benchmark: 1259.7174, usercpu_time_millis: 20.938, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 20.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4818, f_measure: 0.8492, kb_relative_information_score: 1.8289, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9999, scimark_benchmark: 1277.8135, usercpu_time_millis: 6.069, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 5.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6656, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -60.0861, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.875, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.9918, scimark_benchmark: 1267.2273, usercpu_time_millis: 217.206, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 217.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5478, f_measure: 0.8486, kappa: -0.0025, kb_relative_information_score: -28.3489, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8056, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3043, root_relative_squared_error: 1.0039, scimark_benchmark: 1280.3324, usercpu_time_millis: 10.753, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 10.638,

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