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: 0.5706, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 88.0637, 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: 1269.2832, usercpu_time_millis: 15.541, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 15.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -29.4621, mean_absolute_error: 0.1818, 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: 0.9868, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.9919, scimark_benchmark: 1251.2918, usercpu_time_millis: 6.881, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 6.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -28.3116, 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: 0.9934, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.9952, scimark_benchmark: 1250.9259, usercpu_time_millis: 8.609, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 8.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.8503, kappa: 0.0142, kb_relative_information_score: -149.8718, mean_absolute_error: 0.1764, 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: 0.9579, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.9756, scimark_benchmark: 1281.2169, usercpu_time_millis: 9, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 8.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.551, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: 3.956, mean_absolute_error: 0.1824, 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: 0.9904, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.9959, scimark_benchmark: 1279.0975, usercpu_time_millis: 4.687, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 4.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5354, f_measure: 0.8492, kb_relative_information_score: 2.5811, 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: 1277.2971, usercpu_time_millis: 6.381, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 6.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.8635, kappa: 0.1161, kb_relative_information_score: -112.5184, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8651, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9004, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9597, scimark_benchmark: 1281.4679, usercpu_time_millis: 7.342, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 7.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 88.1818, 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: 0.9476, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.9713, scimark_benchmark: 1269.6052, usercpu_time_millis: 15.076, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 14.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6553, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: -45.7977, mean_absolute_error: 0.1833, 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: 0.995, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.9927, scimark_benchmark: 1256.4929, usercpu_time_millis: 22.442, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 22.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4739, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -4.9144, 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: 1277.0679, usercpu_time_millis: 4.459, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 4.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6621, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -63.033, 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: 0.9857, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.9919, scimark_benchmark: 1273.9617, usercpu_time_millis: 302.921, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 302.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7178, f_measure: 0.8628, kappa: 0.1051, kb_relative_information_score: 40.2868, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8736, predictive_accuracy: 0.9002, prior_entropy: 0.478, recall: 0.9002, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.976, scimark_benchmark: 1281.7859, usercpu_time_millis: 18.084, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 17.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4835, f_measure: 0.8492, kb_relative_information_score: 4.5736, 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: 0.9966, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9995, scimark_benchmark: 1278.463, usercpu_time_millis: 4.487, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 4.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5123, f_measure: 0.8492, kb_relative_information_score: 3.6521, 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: 1263.0365, usercpu_time_millis: 6.088, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 5.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.8612, kappa: 0.0986, kb_relative_information_score: -199.3636, mean_absolute_error: 0.1634, 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: 0.8874, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.9496, scimark_benchmark: 1284.0494, usercpu_time_millis: 7.859, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 7.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5142, f_measure: 0.8492, kb_relative_information_score: 3.5238, 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: 1280.9353, usercpu_time_millis: 5.506, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 5.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5253, f_measure: 0.8492, kb_relative_information_score: 4.143, 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: 0.9968, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9994, scimark_benchmark: 1239.4988, usercpu_time_millis: 4.892, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 4.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -58.4199, 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: 0.9841, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.9917, scimark_benchmark: 1276.737, usercpu_time_millis: 184.923, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 184.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.662, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -50.5715, mean_absolute_error: 0.1811, 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: 0.9831, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.9925, scimark_benchmark: 1278.0535, usercpu_time_millis: 114.433, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 114.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6432, f_measure: 0.8523, kappa: 0.0222, kb_relative_information_score: -50.2729, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.9091, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.9917, scimark_benchmark: 1249.0752, usercpu_time_millis: 36.268, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 36.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: -2.8556, mean_absolute_error: 0.1832, 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: 0.9946, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.9982, scimark_benchmark: 1274.4035, usercpu_time_millis: 5.153, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 5.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7642, f_measure: 0.8543, kappa: 0.0397, kb_relative_information_score: -40.5472, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8661, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.9687, scimark_benchmark: 1263.6027, usercpu_time_millis: 5.862, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 5.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.582, f_measure: 0.8601, kappa: 0.0815, kb_relative_information_score: 58.29, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8842, predictive_accuracy: 0.9008, prior_entropy: 0.478, recall: 0.9008, relative_absolute_error: 0.9611, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.9805, scimark_benchmark: 1250.5251, usercpu_time_millis: 9.307, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 9.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -30.7709, 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: 0.9945, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.9951, scimark_benchmark: 1277.4515, usercpu_time_millis: 10.159, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 10.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6597, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -64.0763, 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: 0.9856, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.9922, scimark_benchmark: 1274.0471, usercpu_time_millis: 749.72, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 749.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7087, f_measure: 0.8513, kappa: 0.0182, kb_relative_information_score: -12.3937, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8475, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.9731, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.9886, scimark_benchmark: 1273.6191, usercpu_time_millis: 6.481, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 6.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5305, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -3.4879, 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: 0.9998, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3039, root_relative_squared_error: 1.0026, scimark_benchmark: 1271.5127, usercpu_time_millis: 4.469, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 4.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5307, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -3.9705, 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: 1280.7334, usercpu_time_millis: 5.02, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 4.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5313, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -3.9483, 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: 1254.1819, usercpu_time_millis: 4.946, usercpu_time_millis_testing: 0.001, usercpu_time_millis_training: 4.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6489, f_measure: 0.8492, kb_relative_information_score: 5.1221, 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: 0.9954, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.9992, scimark_benchmark: 1274.4153, usercpu_time_millis: 5.703, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 5.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6623, f_measure: 0.8492, kb_relative_information_score: -38.7722, 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: 0.3015, root_relative_squared_error: 0.9947, scimark_benchmark: 1251.3721, usercpu_time_millis: 14.118, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 14.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.859, kappa: 0.0767, kb_relative_information_score: -4.794, mean_absolute_error: 0.1739, 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: 0.9444, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.9745, scimark_benchmark: 1242.1169, usercpu_time_millis: 18.481, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 18.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5242, f_measure: 0.8486, kappa: -0.0025, kb_relative_information_score: -17.8885, mean_absolute_error: 0.1847, 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: 1.0028, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.305, root_relative_squared_error: 1.0063, scimark_benchmark: 1272.7017, usercpu_time_millis: 7.157, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 7.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -98.7695, mean_absolute_error: 0.1831, 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: 0.9942, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.9912, scimark_benchmark: 1272.3202, usercpu_time_millis: 40.24, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 40.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5246, f_measure: 0.8492, kb_relative_information_score: 2.9323, 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: 0.303, root_relative_squared_error: 0.9995, scimark_benchmark: 1252.0214, usercpu_time_millis: 6.123, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 6.01,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6198, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 78.3478, 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: 0.9474, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.9715, scimark_benchmark: 1251.8351, usercpu_time_millis: 17.517, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 17.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, f_measure: 0.8616, kappa: 0.1002, kb_relative_information_score: -51.5949, mean_absolute_error: 0.1677, 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: 0.9107, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.9603, scimark_benchmark: 1266.3911, usercpu_time_millis: 7.167, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 7.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4643, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -4.8708, 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: 0.3041, root_relative_squared_error: 1.0033, scimark_benchmark: 1274.5901, usercpu_time_millis: 4.296, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 4.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.8616, kappa: 0.0917, kb_relative_information_score: 65.3077, mean_absolute_error: 0.1762, 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: 0.9564, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.9769, scimark_benchmark: 1277.6455, usercpu_time_millis: 17.162, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 16.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -27.3582, mean_absolute_error: 0.1826, 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: 0.9912, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.9941, scimark_benchmark: 1270.9061, usercpu_time_millis: 8.502, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 8.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.575, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 88.4097, 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: 0.9474, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.9713, scimark_benchmark: 1256.5364, usercpu_time_millis: 16.469, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 16.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4808, f_measure: 0.8492, kb_relative_information_score: 4.6439, 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: 0.9995, scimark_benchmark: 1275.3784, usercpu_time_millis: 4.376, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 4.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5262, f_measure: 0.8492, kb_relative_information_score: 3.3717, mean_absolute_error: 0.1832, 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: 0.9946, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1, scimark_benchmark: 1260.0428, usercpu_time_millis: 4.932, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 4.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.464, f_measure: 0.8492, kb_relative_information_score: 6.6256, 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: 0.3027, root_relative_squared_error: 0.9985, scimark_benchmark: 1283.1562, usercpu_time_millis: 4.632, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 4.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5049, f_measure: 0.8492, kb_relative_information_score: 5.5113, 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: 0.9956, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.9994, scimark_benchmark: 1288.9684, usercpu_time_millis: 4.516, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 4.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7118, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -27.1768, 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: 0.9886, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.301, root_relative_squared_error: 0.993, scimark_benchmark: 1245.6689, usercpu_time_millis: 7.032, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 6.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.8501, kappa: 0.0085, kb_relative_information_score: -72.1214, mean_absolute_error: 0.1825, 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: 0.9911, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.301, root_relative_squared_error: 0.9931, scimark_benchmark: 1233.0403, usercpu_time_millis: 814.914, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 814.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4733, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -1.2857, mean_absolute_error: 0.1841, 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: 0.9993, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3038, root_relative_squared_error: 1.0022, scimark_benchmark: 1248.922, usercpu_time_millis: 6.652, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 6.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -57.0676, 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: 0.9854, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.9913, scimark_benchmark: 1278.3897, usercpu_time_millis: 832.47, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 832.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5273, f_measure: 0.8492, kb_relative_information_score: 4.5587, 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: 0.9961, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.999, scimark_benchmark: 1252.7163, usercpu_time_millis: 5.459, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 5.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, f_measure: 0.8633, kappa: 0.1035, kb_relative_information_score: 81.501, mean_absolute_error: 0.1754, 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: 0.9522, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.295, root_relative_squared_error: 0.9731, scimark_benchmark: 1282.8604, usercpu_time_millis: 14.598, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 14.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, f_measure: 0.8492, kb_relative_information_score: 2.3972, 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: 0.9995, scimark_benchmark: 1281.7506, usercpu_time_millis: 5.522, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 5.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7026, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -12.488, mean_absolute_error: 0.1799, 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: 0.977, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.9882, scimark_benchmark: 1274.6924, usercpu_time_millis: 5.324, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 5.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7099, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -28.0959, mean_absolute_error: 0.1827, 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: 0.9918, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.9946, scimark_benchmark: 1269.9299, usercpu_time_millis: 7.744, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 7.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6603, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: -44.2332, 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: 0.998, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.994, scimark_benchmark: 1278.7286, usercpu_time_millis: 17.201, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 17.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, f_measure: 0.8601, kappa: 0.0815, kb_relative_information_score: 55.7674, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8842, predictive_accuracy: 0.9008, prior_entropy: 0.478, recall: 0.9008, relative_absolute_error: 0.9577, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.9789, scimark_benchmark: 1266.7369, usercpu_time_millis: 15.858, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 15.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.8492, kb_relative_information_score: 4.7088, mean_absolute_error: 0.1821, 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: 0.9887, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9933, scimark_benchmark: 1274.3529, usercpu_time_millis: 5.825, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 5.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5833, f_measure: 0.8492, kb_relative_information_score: 5.8611, 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: 1254.0414, usercpu_time_millis: 5.972, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 5.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.8631, kappa: 0.1144, kb_relative_information_score: -112.8424, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.863, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9011, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.9593, scimark_benchmark: 1272.7579, usercpu_time_millis: 6.777, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 6.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4658, f_measure: 0.8492, kb_relative_information_score: 6.9133, 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: 0.9949, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.9984, scimark_benchmark: 1241.6242, usercpu_time_millis: 4.656, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 4.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7007, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -29.0343, 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: 0.9924, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.9947, scimark_benchmark: 1232.8955, usercpu_time_millis: 8.195, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 8.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5148, f_measure: 0.8492, kb_relative_information_score: 3.5393, 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: 1277.5741, usercpu_time_millis: 5.624, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 5.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: 10.6753, mean_absolute_error: 0.1817, 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: 0.9864, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.9925, scimark_benchmark: 1275.4671, usercpu_time_millis: 5.616, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 5.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6147, f_measure: 0.8616, kappa: 0.0917, kb_relative_information_score: 69.102, mean_absolute_error: 0.1759, 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: 0.9552, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.9757, scimark_benchmark: 1274.3744, usercpu_time_millis: 17.939, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 17.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.8503, kappa: 0.0142, kb_relative_information_score: -128.6784, mean_absolute_error: 0.1744, 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: 0.9467, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.978, scimark_benchmark: 1272.6884, usercpu_time_millis: 3.929, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 3.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5847, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 88.7126, 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: 0.9469, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.9711, scimark_benchmark: 1255.5803, usercpu_time_millis: 16.155, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 15.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.8558, kappa: 0.0503, kb_relative_information_score: -57.8102, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8721, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 0.953, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9684, scimark_benchmark: 1276.4144, usercpu_time_millis: 4.581, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 4.495,

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