Task
Supervised Classification on ozone-level-8hr

Supervised Classification on ozone-level-8hr

Task 145855 Supervised Classification ozone-level-8hr 90654 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.9063, kb_relative_information_score: -1702.2586, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.957, scimark_benchmark: 1848.388, usercpu_time_millis: 14.289, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 14.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.9063, kb_relative_information_score: -1075.397, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9215, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.9413, scimark_benchmark: 1752.4015, usercpu_time_millis: 1.546, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 1.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.9063, kb_relative_information_score: -1327.5502, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8945, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.9277, scimark_benchmark: 1848.8462, usercpu_time_millis: 3.577, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 3.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.9237, kappa: 0.2176, kb_relative_information_score: -850.6379, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9331, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.867, scimark_benchmark: 1851.4874, usercpu_time_millis: 102.669, usercpu_time_millis_testing: 1.394, usercpu_time_millis_training: 101.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, f_measure: 0.9304, kappa: 0.3255, kb_relative_information_score: -818.2292, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9284, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.8874, scimark_benchmark: 1855.4813, usercpu_time_millis: 99.82, usercpu_time_millis_testing: 0.932, usercpu_time_millis_training: 98.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -951.2174, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9354, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.214, root_relative_squared_error: 0.8799, scimark_benchmark: 1085.8635, usercpu_time_millis: 57.097, usercpu_time_millis_testing: 0.875, usercpu_time_millis_training: 56.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.9063, kb_relative_information_score: -1610.0828, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9236, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.9525, scimark_benchmark: 1082.0134, usercpu_time_millis: 47.581, usercpu_time_millis_testing: 0.552, usercpu_time_millis_training: 47.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.9269, kappa: 0.2583, kb_relative_information_score: -838.0644, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9343, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7997, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.861, scimark_benchmark: 1244.0382, usercpu_time_millis: 44.778, usercpu_time_millis_testing: 0.532, usercpu_time_millis_training: 44.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.9131, kappa: 0.0861, kb_relative_information_score: -1052.5513, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9263, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.855, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.8873, scimark_benchmark: 1762.5449, usercpu_time_millis: 42.961, usercpu_time_millis_testing: 1.306, usercpu_time_millis_training: 41.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.9254, kappa: 0.2443, kb_relative_information_score: -733.7375, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9298, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8523, scimark_benchmark: 1848.7925, usercpu_time_millis: 43.03, usercpu_time_millis_testing: 0.817, usercpu_time_millis_training: 42.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.916, kappa: 0.1188, kb_relative_information_score: -785.0549, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8096, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.868, scimark_benchmark: 1723.5031, usercpu_time_millis: 29.816, usercpu_time_millis_testing: 1.23, usercpu_time_millis_training: 28.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.9227, kappa: 0.2026, kb_relative_information_score: -713.3457, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9351, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7968, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8576, scimark_benchmark: 1726.7097, usercpu_time_millis: 27.662, usercpu_time_millis_testing: 1.039, usercpu_time_millis_training: 26.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.9063, kb_relative_information_score: -1389.1913, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.917, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.9394, scimark_benchmark: 1248.6835, usercpu_time_millis: 21.404, usercpu_time_millis_testing: 0.626, usercpu_time_millis_training: 20.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -719.7847, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.8028, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.8602, scimark_benchmark: 1245.1544, usercpu_time_millis: 19.981, usercpu_time_millis_testing: 0.936, usercpu_time_millis_training: 19.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.9149, kappa: 0.1071, kb_relative_information_score: -875.8275, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9297, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8352, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.213, root_relative_squared_error: 0.8758, scimark_benchmark: 1726.3126, usercpu_time_millis: 22.329, usercpu_time_millis_testing: 1.064, usercpu_time_millis_training: 21.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.9235, kappa: 0.2119, kb_relative_information_score: -726.9311, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9359, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7989, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8588, scimark_benchmark: 1853.3841, usercpu_time_millis: 28.666, usercpu_time_millis_testing: 1.181, usercpu_time_millis_training: 27.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.9254, kappa: 0.2443, kb_relative_information_score: -794.7904, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9298, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8587, scimark_benchmark: 1112.3436, usercpu_time_millis: 17.443, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 17.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1147.8712, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8775, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.9106, scimark_benchmark: 1724.5031, usercpu_time_millis: 21.055, usercpu_time_millis_testing: 0.864, usercpu_time_millis_training: 20.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.9113, kappa: 0.0647, kb_relative_information_score: -971.3026, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9218, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.8852, scimark_benchmark: 1849.8294, usercpu_time_millis: 25.351, usercpu_time_millis_testing: 0.82, usercpu_time_millis_training: 24.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.9189, kappa: 0.1563, kb_relative_information_score: -694.6645, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9327, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8042, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8583, scimark_benchmark: 1852.4707, usercpu_time_millis: 20.191, usercpu_time_millis_testing: 1.532, usercpu_time_millis_training: 18.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -811.8937, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8471, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.887, scimark_benchmark: 1722.769, usercpu_time_millis: 12.912, usercpu_time_millis_testing: 1.464, usercpu_time_millis_training: 11.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -664.0013, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9339, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.8683, scimark_benchmark: 1720.8381, usercpu_time_millis: 9.493, usercpu_time_millis_testing: 1.035, usercpu_time_millis_training: 8.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -989.5459, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.8896, scimark_benchmark: 1849.2344, usercpu_time_millis: 16.38, usercpu_time_millis_testing: 0.438, usercpu_time_millis_training: 15.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.9259, kappa: 0.2479, kb_relative_information_score: -717.6045, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9322, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8521, scimark_benchmark: 1849.9668, usercpu_time_millis: 16.276, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 15.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -836.0857, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.8625, scimark_benchmark: 1722.7088, usercpu_time_millis: 7.461, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 7.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.9164, kappa: 0.1263, kb_relative_information_score: -830.1307, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9291, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8703, scimark_benchmark: 1726.3126, usercpu_time_millis: 4.052, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 3.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.9063, kb_relative_information_score: -1161.3788, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8751, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.9136, scimark_benchmark: 1852.4707, usercpu_time_millis: 9.961, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 9.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, f_measure: 0.9187, kappa: 0.1973, kb_relative_information_score: -1717.147, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.913, predictive_accuracy: 0.9341, prior_entropy: 0.3411, recall: 0.9341, relative_absolute_error: 0.882, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.9771, scimark_benchmark: 1091.1781, usercpu_time_millis: 0.73, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: -15.4874, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1727.1069, usercpu_time_millis: 0.474, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.9063, kb_relative_information_score: -965.3163, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.9599, scimark_benchmark: 1859.1356, usercpu_time_millis: 5.751, usercpu_time_millis_testing: 0.802, usercpu_time_millis_training: 4.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9063, kb_relative_information_score: 0.7006, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1755.6207, usercpu_time_millis: 1.406, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 1.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.9063, kb_relative_information_score: -1364.0818, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9209, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.9431, scimark_benchmark: 1719.1889, usercpu_time_millis: 0.953, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -1090.0175, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9096, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.898, scimark_benchmark: 1835.6055, usercpu_time_millis: 92.795, usercpu_time_millis_testing: 1.238, usercpu_time_millis_training: 91.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.924, kappa: 0.2517, kb_relative_information_score: -867.5318, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9209, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.8913, scimark_benchmark: 1852.9988, usercpu_time_millis: 74.101, usercpu_time_millis_testing: 0.571, usercpu_time_millis_training: 73.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1009.2553, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.889, scimark_benchmark: 1840.3077, usercpu_time_millis: 70.774, usercpu_time_millis_testing: 1.421, usercpu_time_millis_training: 69.353,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.9063, kb_relative_information_score: -1161.6415, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8786, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.9191, scimark_benchmark: 1852.0126, usercpu_time_millis: 3.613, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 3.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9063, kb_relative_information_score: 1.4549, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1853.3841, usercpu_time_millis: 2.019, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 1.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.9244, kappa: 0.2504, kb_relative_information_score: -852.8869, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9226, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8776, scimark_benchmark: 1724.5312, usercpu_time_millis: 4.769, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 4.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7644, f_measure: 0.9063, kb_relative_information_score: -1460.719, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.9674, scimark_benchmark: 2104.9131, usercpu_time_millis: 1.892, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 1.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.9106, kappa: 0.0549, kb_relative_information_score: -968.1192, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9245, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.216, root_relative_squared_error: 0.8881, scimark_benchmark: 1706.8723, usercpu_time_millis: 1.712, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 1.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.92, kappa: 0.1775, kb_relative_information_score: -1124.5794, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9259, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.9016, scimark_benchmark: 1848.3976, usercpu_time_millis: 0.579, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: -1.9821, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1727.1069, usercpu_time_millis: 2.289, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 1.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9063, kb_relative_information_score: 2.4686, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 2.252, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 1.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.9222, kappa: 0.1993, kb_relative_information_score: -866.7182, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9313, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8081, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.8706, scimark_benchmark: 1843.1261, usercpu_time_millis: 144.961, usercpu_time_millis_testing: 1.512, usercpu_time_millis_training: 143.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.9259, kappa: 0.2479, kb_relative_information_score: -759.781, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9322, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8556, scimark_benchmark: 1825.1897, usercpu_time_millis: 107.901, usercpu_time_millis_testing: 1.897, usercpu_time_millis_training: 106.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1199.5713, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8715, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.9114, scimark_benchmark: 1854.4431, usercpu_time_millis: 99.657, usercpu_time_millis_testing: 0.979, usercpu_time_millis_training: 98.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.93, kappa: 0.3069, kb_relative_information_score: -783.105, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9314, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.868, scimark_benchmark: 1893.6606, usercpu_time_millis: 97.895, usercpu_time_millis_testing: 1.077, usercpu_time_millis_training: 96.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.9154, kappa: 0.1097, kb_relative_information_score: -905.2177, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9386, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.8823, scimark_benchmark: 1850.2875, usercpu_time_millis: 99.039, usercpu_time_millis_testing: 1.112, usercpu_time_millis_training: 97.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.9242, kappa: 0.225, kb_relative_information_score: -773.2627, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9324, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7933, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8667, scimark_benchmark: 1830.7134, usercpu_time_millis: 96.316, usercpu_time_millis_testing: 1.274, usercpu_time_millis_training: 95.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.9305, kappa: 0.3165, kb_relative_information_score: -670.7033, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9306, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7606, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8582, scimark_benchmark: 1850.8185, usercpu_time_millis: 92.118, usercpu_time_millis_testing: 1.82, usercpu_time_millis_training: 90.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.9155, kappa: 0.1161, kb_relative_information_score: -883.8965, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9277, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.811, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.8803, scimark_benchmark: 1843.1261, usercpu_time_millis: 72.324, usercpu_time_millis_testing: 0.758, usercpu_time_millis_training: 71.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.9255, kappa: 0.2409, kb_relative_information_score: -724.7192, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9327, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7839, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8565, scimark_benchmark: 2108.2728, usercpu_time_millis: 71.841, usercpu_time_millis_testing: 1.271, usercpu_time_millis_training: 70.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.9063, kb_relative_information_score: -1589.9481, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.9515, scimark_benchmark: 1854.9533, usercpu_time_millis: 62.741, usercpu_time_millis_testing: 1.002, usercpu_time_millis_training: 61.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.9274, kappa: 0.265, kb_relative_information_score: -758.9268, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9338, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7832, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8575, scimark_benchmark: 1835.1671, usercpu_time_millis: 58.045, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 57.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1066.6486, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.219, root_relative_squared_error: 0.9005, scimark_benchmark: 1836.152, usercpu_time_millis: 52.636, usercpu_time_millis_testing: 1.106, usercpu_time_millis_training: 51.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -1019.9462, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9096, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8446, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.8936, scimark_benchmark: 1841.1577, usercpu_time_millis: 43.775, usercpu_time_millis_testing: 1.072, usercpu_time_millis_training: 42.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -801.2645, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.8652, scimark_benchmark: 1839.1303, usercpu_time_millis: 37.083, usercpu_time_millis_testing: 1.132, usercpu_time_millis_training: 35.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.927, kappa: 0.2661, kb_relative_information_score: -610.528, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9302, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7685, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.8485, scimark_benchmark: 1857.5664, usercpu_time_millis: 34.25, usercpu_time_millis_testing: 1.231, usercpu_time_millis_training: 33.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.9186, kappa: 0.1548, kb_relative_information_score: -896.4578, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9302, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.8748, scimark_benchmark: 1894.123, usercpu_time_millis: 29.387, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 28.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -839.0039, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9345, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8202, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.211, root_relative_squared_error: 0.8674, scimark_benchmark: 1851.4874, usercpu_time_millis: 19.703, usercpu_time_millis_testing: 0.866, usercpu_time_millis_training: 18.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.9172, kappa: 0.1364, kb_relative_information_score: -974.2831, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9304, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.8801, scimark_benchmark: 1840.6297, usercpu_time_millis: 17.058, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 16.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -1398.6027, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9412, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.9405, scimark_benchmark: 1898.9225, usercpu_time_millis: 18.932, usercpu_time_millis_testing: 0.597, usercpu_time_millis_training: 18.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -643.4732, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9345, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8584, scimark_benchmark: 1835.5512, usercpu_time_millis: 15.577, usercpu_time_millis_testing: 1.624, usercpu_time_millis_training: 13.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1149.8571, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.882, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.9135, scimark_benchmark: 1775.5463, usercpu_time_millis: 13.399, usercpu_time_millis_testing: 0.655, usercpu_time_millis_training: 12.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.9211, kappa: 0.1838, kb_relative_information_score: -813.3263, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9333, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8645, scimark_benchmark: 1854.9533, usercpu_time_millis: 14.344, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 13.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.9063, kb_relative_information_score: -1386.1585, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9472, scimark_benchmark: 1776.2136, usercpu_time_millis: 7.587, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 7.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.9257, kappa: 0.2427, kb_relative_information_score: -634.6474, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9341, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.8498, scimark_benchmark: 2114.5164, usercpu_time_millis: 6.162, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 5.95,

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