OpenML
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: 0.8961, f_measure: 0.9063, kb_relative_information_score: -796.5115, mean_absolute_error: 0.1018, 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: 0.8583, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.9, scimark_benchmark: 1243.3395, usercpu_time_millis: 14.687, usercpu_time_millis_testing: 1.571, usercpu_time_millis_training: 13.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.9063, kb_relative_information_score: -1275.5115, 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: 0.9211, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.9453, scimark_benchmark: 1246.0562, usercpu_time_millis: 23.007, usercpu_time_millis_testing: 1.632, usercpu_time_millis_training: 21.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -969.584, mean_absolute_error: 0.1031, 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: 0.8694, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.9048, scimark_benchmark: 1246.3521, usercpu_time_millis: 6.597, usercpu_time_millis_testing: 0.561, usercpu_time_millis_training: 6.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -721.3777, mean_absolute_error: 0.0971, 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: 0.8185, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.8729, scimark_benchmark: 1240.9226, usercpu_time_millis: 10.631, usercpu_time_millis_testing: 0.955, usercpu_time_millis_training: 9.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.9241, kappa: 0.2287, kb_relative_information_score: -672.6642, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8597, scimark_benchmark: 1236.2017, usercpu_time_millis: 6.709, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 6.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.9063, kb_relative_information_score: -1198.9366, mean_absolute_error: 0.1084, 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: 0.9143, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.9392, scimark_benchmark: 1232.52, usercpu_time_millis: 42.606, usercpu_time_millis_testing: 3.773, usercpu_time_millis_training: 38.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -726.1568, mean_absolute_error: 0.0959, 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: 0.8088, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.8685, scimark_benchmark: 1234.0112, usercpu_time_millis: 93.868, usercpu_time_millis_testing: 5.461, usercpu_time_millis_training: 88.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.9253, kappa: 0.2356, kb_relative_information_score: -589.7316, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9348, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7741, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8512, scimark_benchmark: 1205.9938, usercpu_time_millis: 20.985, usercpu_time_millis_testing: 1.26, usercpu_time_millis_training: 19.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.9063, kb_relative_information_score: -1215.6295, mean_absolute_error: 0.1109, 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: 0.9347, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.9531, scimark_benchmark: 1245.164, usercpu_time_millis: 17.287, usercpu_time_millis_testing: 1.738, usercpu_time_millis_training: 15.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -791.1596, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.883, scimark_benchmark: 1236.5267, usercpu_time_millis: 7.24, usercpu_time_millis_testing: 0.569, usercpu_time_millis_training: 6.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.9235, kappa: 0.2119, kb_relative_information_score: -641.5303, mean_absolute_error: 0.0937, 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: 0.7901, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.85, scimark_benchmark: 1234.1201, usercpu_time_millis: 74.086, usercpu_time_millis_testing: 4.161, usercpu_time_millis_training: 69.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -822.6835, mean_absolute_error: 0.0993, 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: 0.8373, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.8824, scimark_benchmark: 1239.5207, usercpu_time_millis: 74.804, usercpu_time_millis_testing: 5.619, usercpu_time_millis_training: 69.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.9142, kappa: 0.0979, kb_relative_information_score: -734.585, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9324, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.868, scimark_benchmark: 1244.1721, usercpu_time_millis: 75.238, usercpu_time_millis_testing: 3.562, usercpu_time_millis_training: 71.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.9206, kappa: 0.1806, kb_relative_information_score: -686.2821, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9293, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8581, scimark_benchmark: 1227.2137, usercpu_time_millis: 7.737, usercpu_time_millis_testing: 0.617, usercpu_time_millis_training: 7.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -679.2938, mean_absolute_error: 0.0947, 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: 0.7986, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8566, scimark_benchmark: 1238.7334, usercpu_time_millis: 67.454, usercpu_time_millis_testing: 3.887, usercpu_time_millis_training: 63.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -690.575, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9387, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8573, scimark_benchmark: 1237.1874, usercpu_time_millis: 113.154, usercpu_time_millis_testing: 5.153, usercpu_time_millis_training: 108.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -866.1087, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.8822, scimark_benchmark: 1238.5499, usercpu_time_millis: 53.684, usercpu_time_millis_testing: 3.313, usercpu_time_millis_training: 50.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -792.701, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8323, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.8771, scimark_benchmark: 1234.3271, usercpu_time_millis: 41.394, usercpu_time_millis_testing: 3.235, usercpu_time_millis_training: 38.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -722.9286, mean_absolute_error: 0.0993, 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: 0.8375, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.8863, scimark_benchmark: 1232.1743, usercpu_time_millis: 33.548, usercpu_time_millis_testing: 3.684, usercpu_time_millis_training: 29.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1009.6489, mean_absolute_error: 0.103, 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: 0.8686, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.9064, scimark_benchmark: 1244.2174, usercpu_time_millis: 53.889, usercpu_time_millis_testing: 3.821, usercpu_time_millis_training: 50.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.9063, kb_relative_information_score: -1070.332, mean_absolute_error: 0.1058, 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: 0.8917, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.9232, scimark_benchmark: 1238.6075, usercpu_time_millis: 31.545, usercpu_time_millis_testing: 2.957, usercpu_time_millis_training: 28.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.9063, kb_relative_information_score: -989.7449, mean_absolute_error: 0.1048, 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: 0.8838, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.9159, scimark_benchmark: 1239.2617, usercpu_time_millis: 48.484, usercpu_time_millis_testing: 4.428, usercpu_time_millis_training: 44.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9229, kappa: 0.2085, kb_relative_information_score: -583.8487, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7767, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.8499, scimark_benchmark: 1238.3586, usercpu_time_millis: 17.367, usercpu_time_millis_testing: 1.38, usercpu_time_millis_training: 15.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.9063, kb_relative_information_score: -1169.8812, mean_absolute_error: 0.1094, 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: 0.9222, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.945, scimark_benchmark: 1234.7006, usercpu_time_millis: 4.793, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 4.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -667.2752, mean_absolute_error: 0.0942, 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: 0.794, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8536, scimark_benchmark: 1232.303, usercpu_time_millis: 110.63, usercpu_time_millis_testing: 6.51, usercpu_time_millis_training: 104.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -939.9713, mean_absolute_error: 0.0999, 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: 0.8427, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.893, scimark_benchmark: 1247.338, usercpu_time_millis: 51.91, usercpu_time_millis_testing: 3.913, usercpu_time_millis_training: 47.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.9245, kappa: 0.2267, kb_relative_information_score: -621.8986, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.934, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8467, scimark_benchmark: 1228.9358, usercpu_time_millis: 85.953, usercpu_time_millis_testing: 4.457, usercpu_time_millis_training: 81.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -723.8799, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.8065, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8622, scimark_benchmark: 1239.521, usercpu_time_millis: 70.598, usercpu_time_millis_testing: 4.279, usercpu_time_millis_training: 66.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1096.7651, mean_absolute_error: 0.1042, 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: 0.8781, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.9136, scimark_benchmark: 1239.1731, usercpu_time_millis: 71.863, usercpu_time_millis_testing: 3.652, usercpu_time_millis_training: 68.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9194, kappa: 0.1593, kb_relative_information_score: -701.0081, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9386, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8043, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.86, scimark_benchmark: 1234.42, usercpu_time_millis: 13.115, usercpu_time_millis_testing: 1.129, usercpu_time_millis_training: 11.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.9063, kb_relative_information_score: -753.9867, mean_absolute_error: 0.1127, 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: 0.9498, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.234, root_relative_squared_error: 0.9621, scimark_benchmark: 1241.3536, usercpu_time_millis: 11.703, usercpu_time_millis_testing: 1.309, usercpu_time_millis_training: 10.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.9063, kb_relative_information_score: -1279.1009, mean_absolute_error: 0.108, 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: 0.9105, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.9385, scimark_benchmark: 1223.8263, usercpu_time_millis: 68.772, usercpu_time_millis_testing: 4.441, usercpu_time_millis_training: 64.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -886.113, mean_absolute_error: 0.1024, 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: 0.8633, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.8957, scimark_benchmark: 1243.7121, usercpu_time_millis: 7.305, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 6.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -900.8582, mean_absolute_error: 0.1007, 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: 0.8486, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.8905, scimark_benchmark: 1232.3762, usercpu_time_millis: 64.308, usercpu_time_millis_testing: 4.398, usercpu_time_millis_training: 59.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -776.7469, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.8657, scimark_benchmark: 1242.7639, usercpu_time_millis: 5.633, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 5.151,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.9063, kb_relative_information_score: -1080.4181, mean_absolute_error: 0.1052, 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: 0.8873, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.9193, scimark_benchmark: 1239.0833, usercpu_time_millis: 41.992, usercpu_time_millis_testing: 2.917, usercpu_time_millis_training: 39.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.9227, kappa: 0.2026, kb_relative_information_score: -632.4677, mean_absolute_error: 0.0934, 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: 0.7878, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.8494, scimark_benchmark: 1244.4188, usercpu_time_millis: 107.113, usercpu_time_millis_testing: 6.582, usercpu_time_millis_training: 100.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.928, kappa: 0.2688, kb_relative_information_score: -642.4401, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8467, scimark_benchmark: 1228.8478, usercpu_time_millis: 45.096, usercpu_time_millis_testing: 2.163, usercpu_time_millis_training: 42.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -675.2171, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9296, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8223, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.8747, scimark_benchmark: 1237.4596, usercpu_time_millis: 42.551, usercpu_time_millis_testing: 3.926, usercpu_time_millis_training: 38.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.9283, kappa: 0.2781, kb_relative_information_score: -568.8566, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9331, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.8436, scimark_benchmark: 1240.8034, usercpu_time_millis: 136.183, usercpu_time_millis_testing: 6.942, usercpu_time_millis_training: 129.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -756.3238, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.932, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8703, scimark_benchmark: 1242.4297, usercpu_time_millis: 59.1, usercpu_time_millis_testing: 4.141, usercpu_time_millis_training: 54.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.9063, kb_relative_information_score: -1243.8959, mean_absolute_error: 0.1104, 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: 0.9307, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.9514, scimark_benchmark: 1237.3868, usercpu_time_millis: 31.605, usercpu_time_millis_testing: 2.609, usercpu_time_millis_training: 28.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.9063, kb_relative_information_score: 5.0801, 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: 0.9963, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1234.5773, usercpu_time_millis: 15.999, usercpu_time_millis_testing: 2.015, usercpu_time_millis_training: 13.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.924, kappa: 0.2194, kb_relative_information_score: -612.7206, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, 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: 0.2074, root_relative_squared_error: 0.8526, scimark_benchmark: 1243.2403, usercpu_time_millis: 51.898, usercpu_time_millis_testing: 3.146, usercpu_time_millis_training: 48.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.9172, kappa: 0.1364, kb_relative_information_score: -767.079, mean_absolute_error: 0.0963, 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: 0.8122, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.211, root_relative_squared_error: 0.8674, scimark_benchmark: 1229.7069, usercpu_time_millis: 7.26, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 6.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.9063, kb_relative_information_score: -1115.7613, mean_absolute_error: 0.1111, 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: 0.9368, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.9545, scimark_benchmark: 1245.5316, usercpu_time_millis: 15.519, usercpu_time_millis_testing: 1.551, usercpu_time_millis_training: 13.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: -6.0422, 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: 0.9967, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1240.4567, usercpu_time_millis: 12.45, usercpu_time_millis_testing: 1.149, usercpu_time_millis_training: 11.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.925, kappa: 0.2302, kb_relative_information_score: -670.5547, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9375, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7951, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.8521, scimark_benchmark: 1236.7641, usercpu_time_millis: 105.269, usercpu_time_millis_testing: 5.801, usercpu_time_millis_training: 99.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.9063, kb_relative_information_score: -1231.2245, mean_absolute_error: 0.1087, 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: 0.9168, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.9422, scimark_benchmark: 1249.5993, usercpu_time_millis: 32.457, usercpu_time_millis_testing: 2.17, usercpu_time_millis_training: 30.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -675.0073, mean_absolute_error: 0.0944, 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: 0.7961, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.8532, scimark_benchmark: 1233.1802, usercpu_time_millis: 132.759, usercpu_time_millis_testing: 7.452, usercpu_time_millis_training: 125.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -663.7456, 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: 0.8023, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.857, scimark_benchmark: 1246.1083, usercpu_time_millis: 69.928, usercpu_time_millis_testing: 5.132, usercpu_time_millis_training: 64.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: 4.856, 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: 0.9964, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1248.558, usercpu_time_millis: 19.942, usercpu_time_millis_testing: 2.149, usercpu_time_millis_training: 17.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -862.4862, mean_absolute_error: 0.1014, 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: 0.855, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.8959, scimark_benchmark: 1225.3258, usercpu_time_millis: 19.336, usercpu_time_millis_testing: 1.788, usercpu_time_millis_training: 17.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.9063, kb_relative_information_score: -1088.7742, mean_absolute_error: 0.108, 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: 0.9107, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.9348, scimark_benchmark: 1220.2813, usercpu_time_millis: 17.573, usercpu_time_millis_testing: 1.443, usercpu_time_millis_training: 16.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -674.009, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8645, scimark_benchmark: 1237.3825, usercpu_time_millis: 14.304, usercpu_time_millis_testing: 1.037, usercpu_time_millis_training: 13.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.9269, kappa: 0.2583, kb_relative_information_score: -580.5465, mean_absolute_error: 0.0912, 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: 0.7692, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.845, scimark_benchmark: 1239.3114, usercpu_time_millis: 120.785, usercpu_time_millis_testing: 6.404, usercpu_time_millis_training: 114.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.9063, kb_relative_information_score: -1162.2889, mean_absolute_error: 0.1068, 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: 0.9003, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.9267, scimark_benchmark: 1218.4604, usercpu_time_millis: 14.012, usercpu_time_millis_testing: 1.079, usercpu_time_millis_training: 12.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.9248, kappa: 0.2246, kb_relative_information_score: -703.1655, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9409, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8517, scimark_benchmark: 1247.8609, usercpu_time_millis: 12.514, usercpu_time_millis_testing: 0.863, usercpu_time_millis_training: 11.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -714.1319, mean_absolute_error: 0.0984, 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: 0.8296, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.8782, scimark_benchmark: 1240.3615, usercpu_time_millis: 55.765, usercpu_time_millis_testing: 5.617, usercpu_time_millis_training: 50.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.9266, kappa: 0.2482, kb_relative_information_score: -635.0665, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.939, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7827, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.8478, scimark_benchmark: 1236.6649, usercpu_time_millis: 120.997, usercpu_time_millis_testing: 5.596, usercpu_time_millis_training: 115.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -866.0212, mean_absolute_error: 0.0983, 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: 0.8285, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.8834, scimark_benchmark: 1221.0544, usercpu_time_millis: 109.335, usercpu_time_millis_testing: 5.888, usercpu_time_millis_training: 103.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.9191, kappa: 0.1578, kb_relative_information_score: -626.5528, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9355, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7953, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8579, scimark_benchmark: 1236.6695, usercpu_time_millis: 77.865, usercpu_time_millis_testing: 6.407, usercpu_time_millis_training: 71.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 0.4038, mean_absolute_error: 0.1184, 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: 0.998, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1241.0249, usercpu_time_millis: 16.496, usercpu_time_millis_testing: 1.826, usercpu_time_millis_training: 14.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.924, kappa: 0.2194, kb_relative_information_score: -624.9831, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.854, scimark_benchmark: 1241.7484, usercpu_time_millis: 9.533, usercpu_time_millis_testing: 0.589, usercpu_time_millis_training: 8.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.916, kappa: 0.1188, kb_relative_information_score: -688.0163, mean_absolute_error: 0.0949, 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: 0.8004, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8648, scimark_benchmark: 1247.9607, usercpu_time_millis: 124.049, usercpu_time_millis_testing: 6.606, usercpu_time_millis_training: 117.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.9269, kappa: 0.2583, kb_relative_information_score: -636.6782, mean_absolute_error: 0.0924, 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: 0.779, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.8452, scimark_benchmark: 1233.9552, usercpu_time_millis: 135.639, usercpu_time_millis_testing: 5.712, usercpu_time_millis_training: 129.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -979.0101, 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: 0.8523, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.8983, scimark_benchmark: 1226.0445, usercpu_time_millis: 75.507, usercpu_time_millis_testing: 5.733, usercpu_time_millis_training: 69.774,

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