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: 0.7223, f_measure: 0.8576, kappa: 0.0666, kb_relative_information_score: -175.1916, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8641, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.958, scimark_benchmark: 1247.6145, usercpu_time_millis: 7.976, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 7.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, f_measure: 0.8528, kappa: 0.029, kb_relative_information_score: -45.2193, mean_absolute_error: 0.1762, 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: 0.9567, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.9702, scimark_benchmark: 1281.3475, usercpu_time_millis: 4.635, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 4.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5096, f_measure: 0.8492, kb_relative_information_score: 3.2545, 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: 0.9996, scimark_benchmark: 1250.5594, usercpu_time_millis: 5.017, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 4.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5471, f_measure: 0.8492, kb_relative_information_score: 1.2068, 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: 0.3031, root_relative_squared_error: 0.9998, scimark_benchmark: 1249.817, usercpu_time_millis: 7.595, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 7.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5403, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -9.631, mean_absolute_error: 0.1842, 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: 0.9999, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.304, root_relative_squared_error: 1.003, scimark_benchmark: 1247.9923, usercpu_time_millis: 10.256, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 10.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -49.1709, mean_absolute_error: 0.181, 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: 0.9828, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.9922, scimark_benchmark: 1233.0621, usercpu_time_millis: 126.574, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 126.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.8561, kappa: 0.0606, kb_relative_information_score: -63.8743, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.851, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.9325, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.294, root_relative_squared_error: 0.97, scimark_benchmark: 1279.591, usercpu_time_millis: 6.648, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 6.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.8492, kb_relative_information_score: 5.4612, mean_absolute_error: 0.1817, 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: 0.9865, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9932, scimark_benchmark: 1252.8555, usercpu_time_millis: 5.704, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 5.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.8538, kappa: 0.0332, kb_relative_information_score: -42.206, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.9097, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.9594, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.9726, scimark_benchmark: 1254.1181, usercpu_time_millis: 5.278, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 5.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7197, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -26.6998, mean_absolute_error: 0.1817, 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: 0.9867, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.9914, scimark_benchmark: 1250.4438, usercpu_time_millis: 6.822, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 6.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.536, f_measure: 0.8492, kb_relative_information_score: 2.1751, 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: 0.9976, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9999, scimark_benchmark: 1258.4905, usercpu_time_millis: 6.648, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 6.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6124, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 80.2287, 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: 0.9471, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.9713, scimark_benchmark: 1276.1792, usercpu_time_millis: 17.53, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 17.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.8575, kappa: 0.0706, kb_relative_information_score: -37.1214, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8548, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.9116, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.952, scimark_benchmark: 1279.6286, usercpu_time_millis: 4.286, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 4.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5378, f_measure: 0.8492, kb_relative_information_score: 2.5892, 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: 1283.6235, usercpu_time_millis: 5.896, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 5.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.8506, kappa: 0.0155, kb_relative_information_score: -269.1251, mean_absolute_error: 0.1702, 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: 0.9242, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.9645, scimark_benchmark: 1270.8499, usercpu_time_millis: 7.389, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 7.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -29.8381, mean_absolute_error: 0.183, 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: 0.9937, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.9952, scimark_benchmark: 1281.5465, usercpu_time_millis: 8.985, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 8.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.8533, kappa: 0.0403, kb_relative_information_score: -15.6355, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8419, predictive_accuracy: 0.8944, prior_entropy: 0.478, recall: 0.8944, relative_absolute_error: 0.9455, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.9768, scimark_benchmark: 1249.0398, usercpu_time_millis: 6.192, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 6.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -10.3743, mean_absolute_error: 0.1842, 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, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3041, root_relative_squared_error: 1.0031, scimark_benchmark: 1273.2293, usercpu_time_millis: 10.153, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 10.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6801, f_measure: 0.8533, kappa: 0.0354, kb_relative_information_score: -14.848, mean_absolute_error: 0.1759, 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: 0.9553, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.9818, scimark_benchmark: 1244.3463, usercpu_time_millis: 6.563, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 6.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4392, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: 6.1574, 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: 0.9938, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.9976, scimark_benchmark: 1277.5772, usercpu_time_millis: 4.266, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 4.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.57, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 88.0587, mean_absolute_error: 0.1746, 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: 0.9478, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.9714, scimark_benchmark: 1275.5875, usercpu_time_millis: 15.598, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 15.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5309, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -3.9616, 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: 1.0005, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3041, root_relative_squared_error: 1.0031, scimark_benchmark: 1256.8194, usercpu_time_millis: 4.25, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 4.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5126, f_measure: 0.8492, kb_relative_information_score: 3.6233, 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: 0.9971, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9995, scimark_benchmark: 1279.832, usercpu_time_millis: 5.227, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 5.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.8547, kappa: 0.0505, kb_relative_information_score: -18.3113, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8467, predictive_accuracy: 0.8951, prior_entropy: 0.478, recall: 0.8951, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9734, scimark_benchmark: 1260.9245, usercpu_time_millis: 5.787, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 5.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -58.4308, mean_absolute_error: 0.1813, 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: 0.9843, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.9917, scimark_benchmark: 1283.4819, usercpu_time_millis: 186.512, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 186.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.8486, kappa: -0.0025, kb_relative_information_score: -23.0389, mean_absolute_error: 0.1839, 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: 0.9987, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3042, root_relative_squared_error: 1.0035, scimark_benchmark: 1246.4681, usercpu_time_millis: 7.73, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 7.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -25.7709, 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: 0.9884, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.301, root_relative_squared_error: 0.993, scimark_benchmark: 1271.3965, usercpu_time_millis: 7.08, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 6.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5791, f_measure: 0.8633, kappa: 0.1035, kb_relative_information_score: 80.2039, mean_absolute_error: 0.1757, 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: 0.9539, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.9738, scimark_benchmark: 1267.437, usercpu_time_millis: 14.295, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 14.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5335, f_measure: 0.8492, kb_relative_information_score: 2.152, 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: 0.9975, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9998, scimark_benchmark: 1276.5005, usercpu_time_millis: 6.391, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 6.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6604, f_measure: 0.8594, kappa: 0.0783, kb_relative_information_score: 57.8189, mean_absolute_error: 0.1755, 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: 0.9528, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.9771, scimark_benchmark: 1258.2737, usercpu_time_millis: 17.606, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 17.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4387, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: 6.0706, 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: 0.9938, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.9976, scimark_benchmark: 1268.7687, usercpu_time_millis: 4.227, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 4.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: -42.6951, mean_absolute_error: 0.1838, 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: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.994, scimark_benchmark: 1278.6591, usercpu_time_millis: 17.116, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 17.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -62.7573, mean_absolute_error: 0.1816, 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: 0.9859, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.9919, scimark_benchmark: 1239.7525, usercpu_time_millis: 372.171, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 372.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: 0.7966, mean_absolute_error: 0.1809, 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: 0.9825, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.994, scimark_benchmark: 1247.7031, usercpu_time_millis: 5.809, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 5.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -34.1856, mean_absolute_error: 0.18, 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: 0.9774, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.9842, scimark_benchmark: 1284.8575, usercpu_time_millis: 5.476, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 5.388,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6549, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -51.4453, mean_absolute_error: 0.1815, 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: 0.9856, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.9924, scimark_benchmark: 1281.8413, usercpu_time_millis: 65.944, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 65.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.8501, kappa: 0.0085, kb_relative_information_score: -60.259, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8403, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.9913, scimark_benchmark: 1242.1359, usercpu_time_millis: 833.309, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 833.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.8572, kappa: 0.0651, kb_relative_information_score: -55.2459, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8602, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.9527, scimark_benchmark: 1248.3458, usercpu_time_millis: 4.512, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 4.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5367, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -15.4486, mean_absolute_error: 0.1846, 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: 1.0021, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3044, root_relative_squared_error: 1.0041, scimark_benchmark: 1271.4407, usercpu_time_millis: 7.645, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 7.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6039, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: 6.2322, mean_absolute_error: 0.1823, 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: 0.9897, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.9959, scimark_benchmark: 1253.1392, usercpu_time_millis: 4.415, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 4.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5128, f_measure: 0.8492, kb_relative_information_score: 3.5755, 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: 0.9971, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9995, scimark_benchmark: 1262.9204, usercpu_time_millis: 5.507, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 5.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -10.1356, 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: 0.9948, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.9983, scimark_benchmark: 1280.0738, usercpu_time_millis: 5.175, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 5.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7618, f_measure: 0.8532, kappa: 0.0303, kb_relative_information_score: -25.0117, mean_absolute_error: 0.1767, 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: 0.9593, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.9747, scimark_benchmark: 1275.2015, usercpu_time_millis: 5.119, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 5.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5082, f_measure: 0.8492, kb_relative_information_score: 3.4138, 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: 0.995, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9998, scimark_benchmark: 1282.9726, usercpu_time_millis: 4.796, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 4.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, f_measure: 0.8492, kb_relative_information_score: -11.647, mean_absolute_error: 0.183, 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: 0.9938, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.0002, scimark_benchmark: 1278.8124, usercpu_time_millis: 6.975, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 6.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.8622, kappa: 0.1066, kb_relative_information_score: -93.7363, mean_absolute_error: 0.1662, 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: 0.9023, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.9585, scimark_benchmark: 1248.5903, usercpu_time_millis: 5.881, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 5.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6205, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: 10.07, mean_absolute_error: 0.182, 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: 0.9884, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.9942, scimark_benchmark: 1280.3216, usercpu_time_millis: 4.895, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 4.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6848, f_measure: 0.8521, kappa: 0.0262, kb_relative_information_score: -172.1026, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8454, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.9448, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.9673, scimark_benchmark: 1242.3216, usercpu_time_millis: 7.866, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 7.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.8673, kappa: 0.1401, kb_relative_information_score: -47.9457, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.877, predictive_accuracy: 0.9015, prior_entropy: 0.478, recall: 0.9015, relative_absolute_error: 0.9122, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.9605, scimark_benchmark: 1258.6468, usercpu_time_millis: 16.19, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 15.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, f_measure: 0.8598, kappa: 0.0799, kb_relative_information_score: 59.1733, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8779, predictive_accuracy: 0.9002, prior_entropy: 0.478, recall: 0.9002, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.9792, scimark_benchmark: 1246.1593, usercpu_time_millis: 15.542, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 15.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, f_measure: 0.8637, kappa: 0.1132, kb_relative_information_score: 46.4733, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.873, predictive_accuracy: 0.9002, prior_entropy: 0.478, recall: 0.9002, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.9751, scimark_benchmark: 1246.5515, usercpu_time_millis: 18.366, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 18.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5306, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -3.8395, 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: 1278.818, usercpu_time_millis: 4.145, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 4.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.8571, kappa: 0.0692, kb_relative_information_score: -47.4737, mean_absolute_error: 0.1691, 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: 0.9183, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.9516, scimark_benchmark: 1278.0527, usercpu_time_millis: 4.009, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 3.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4822, f_measure: 0.8492, kb_relative_information_score: 3.312, mean_absolute_error: 0.1836, 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: 0.997, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9997, scimark_benchmark: 1256.608, usercpu_time_millis: 4.654, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 4.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7088, f_measure: 0.8568, kappa: 0.0677, kb_relative_information_score: -38.6157, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8502, predictive_accuracy: 0.8951, prior_entropy: 0.478, recall: 0.8951, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.294, root_relative_squared_error: 0.97, scimark_benchmark: 1278.4089, usercpu_time_millis: 6.031, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 5.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4792, f_measure: 0.8492, kb_relative_information_score: 6.4483, 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: 0.9955, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.9986, scimark_benchmark: 1262.7038, usercpu_time_millis: 4.432, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 4.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.8575, kappa: 0.0706, kb_relative_information_score: -26.7506, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8548, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.9319, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.294, root_relative_squared_error: 0.9698, scimark_benchmark: 1239.2274, usercpu_time_millis: 6.081, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 5.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4827, f_measure: 0.8492, kb_relative_information_score: 2.7051, mean_absolute_error: 0.1836, 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: 0.997, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9994, scimark_benchmark: 1275.7565, usercpu_time_millis: 4.289, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 4.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -58.9115, mean_absolute_error: 0.1813, 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: 0.9845, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.9921, scimark_benchmark: 1285.2024, usercpu_time_millis: 887.635, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 887.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5236, f_measure: 0.8492, kb_relative_information_score: 3.8641, mean_absolute_error: 0.1835, 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: 0.9965, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9996, scimark_benchmark: 1277.8784, usercpu_time_millis: 5.236, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 5.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.8503, kappa: 0.0142, kb_relative_information_score: -19.2815, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.832, predictive_accuracy: 0.8951, prior_entropy: 0.478, recall: 0.8951, relative_absolute_error: 0.9614, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.9851, scimark_benchmark: 1260.4551, usercpu_time_millis: 5.053, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 4.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.8525, kappa: 0.0276, kb_relative_information_score: -37.118, mean_absolute_error: 0.1795, 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: 0.9743, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.9901, scimark_benchmark: 1251.3709, usercpu_time_millis: 6.874, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 6.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5775, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 88.476, 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: 0.9473, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.9713, scimark_benchmark: 1252.5043, usercpu_time_millis: 15.502, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 15.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.859, kappa: 0.0767, kb_relative_information_score: -58.4227, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.868, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 0.9185, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.9516, scimark_benchmark: 1280.109, usercpu_time_millis: 4.698, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 4.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5715, f_measure: 0.8492, kb_relative_information_score: 5.4686, 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: 0.9955, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.9983, scimark_benchmark: 1239.9454, usercpu_time_millis: 5.957, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 5.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5123, f_measure: 0.8492, kb_relative_information_score: 3.6731, 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: 0.9971, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9994, scimark_benchmark: 1238.3949, usercpu_time_millis: 5.346, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 5.25,

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