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: 0.9043, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -766.1777, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9415, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8375, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.8808, scimark_benchmark: 1272.6109, usercpu_time_millis: 50.87, usercpu_time_millis_testing: 4.153, usercpu_time_millis_training: 46.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -729.6209, mean_absolute_error: 0.0976, 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: 0.8229, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.211, root_relative_squared_error: 0.8675, scimark_benchmark: 1267.2406, usercpu_time_millis: 45.982, usercpu_time_millis_testing: 3.914, usercpu_time_millis_training: 42.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.9063, kb_relative_information_score: -1097.2834, mean_absolute_error: 0.1063, 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: 0.8962, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.9264, scimark_benchmark: 1278.4974, usercpu_time_millis: 41.599, usercpu_time_millis_testing: 3.406, usercpu_time_millis_training: 38.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -995.8402, mean_absolute_error: 0.1032, 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: 0.8702, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.9084, scimark_benchmark: 1249.4477, usercpu_time_millis: 29.089, usercpu_time_millis_testing: 2.373, usercpu_time_millis_training: 26.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -582.0493, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.8479, scimark_benchmark: 1255.7417, usercpu_time_millis: 147.985, usercpu_time_millis_testing: 8.829, usercpu_time_millis_training: 139.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.9063, kb_relative_information_score: -1182.8014, mean_absolute_error: 0.1083, 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: 0.9128, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.9383, scimark_benchmark: 1245.2204, usercpu_time_millis: 18.595, usercpu_time_millis_testing: 1.225, usercpu_time_millis_training: 17.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -611.1005, mean_absolute_error: 0.0933, 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: 0.7865, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.8532, scimark_benchmark: 1262.0835, usercpu_time_millis: 110.192, usercpu_time_millis_testing: 6.928, usercpu_time_millis_training: 103.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1046.9665, mean_absolute_error: 0.1036, 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: 0.8731, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.9101, scimark_benchmark: 1253.1826, usercpu_time_millis: 10.604, usercpu_time_millis_testing: 0.721, usercpu_time_millis_training: 9.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.9208, kappa: 0.1773, kb_relative_information_score: -781.1883, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7993, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.211, root_relative_squared_error: 0.8677, scimark_benchmark: 1252.1942, usercpu_time_millis: 3.288, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 3.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.9151, kappa: 0.1084, kb_relative_information_score: -602.4639, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9338, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.8602, scimark_benchmark: 1265.5406, usercpu_time_millis: 122.513, usercpu_time_millis_testing: 10.511, usercpu_time_millis_training: 112.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -710.2134, mean_absolute_error: 0.0976, 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: 0.8228, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.872, scimark_benchmark: 1274.8511, usercpu_time_millis: 66.126, usercpu_time_millis_testing: 6.078, usercpu_time_millis_training: 60.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.9208, kappa: 0.1822, kb_relative_information_score: -625.348, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9312, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7797, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8546, scimark_benchmark: 1247.8862, usercpu_time_millis: 53.469, usercpu_time_millis_testing: 3.026, usercpu_time_millis_training: 50.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.9166, kappa: 0.1277, kb_relative_information_score: -706.1854, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8648, scimark_benchmark: 1264.115, usercpu_time_millis: 82.184, usercpu_time_millis_testing: 4.027, usercpu_time_millis_training: 78.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1035.4333, 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: 0.8681, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.906, scimark_benchmark: 1263.8186, usercpu_time_millis: 81.148, usercpu_time_millis_testing: 5.167, usercpu_time_millis_training: 75.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -726.591, mean_absolute_error: 0.0964, 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: 0.8128, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.8632, scimark_benchmark: 1270.8867, usercpu_time_millis: 52.503, usercpu_time_millis_testing: 3.508, usercpu_time_millis_training: 48.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.925, kappa: 0.2302, kb_relative_information_score: -669.5389, mean_absolute_error: 0.0935, 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: 0.7887, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.8548, scimark_benchmark: 1254.7408, usercpu_time_millis: 8.769, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 8.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.916, kappa: 0.1188, kb_relative_information_score: -642.9255, mean_absolute_error: 0.0952, 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: 0.8029, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8614, scimark_benchmark: 1253.8592, usercpu_time_millis: 60.137, usercpu_time_millis_testing: 4.84, usercpu_time_millis_training: 55.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -675.2574, 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: 0.2079, root_relative_squared_error: 0.8546, scimark_benchmark: 1257.9793, usercpu_time_millis: 110.039, usercpu_time_millis_testing: 6.314, usercpu_time_millis_training: 103.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.9211, kappa: 0.1838, kb_relative_information_score: -598.2121, mean_absolute_error: 0.0927, 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: 0.7812, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8511, scimark_benchmark: 1255.4314, usercpu_time_millis: 50.262, usercpu_time_millis_testing: 3.877, usercpu_time_millis_training: 46.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.9063, kb_relative_information_score: -1010.8481, mean_absolute_error: 0.1076, 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: 0.9072, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.932, scimark_benchmark: 1273.7674, usercpu_time_millis: 17.03, usercpu_time_millis_testing: 1.861, usercpu_time_millis_training: 15.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.927, kappa: 0.2661, kb_relative_information_score: -583.0984, mean_absolute_error: 0.0902, 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: 0.7602, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.8442, scimark_benchmark: 1259.0551, usercpu_time_millis: 29.332, usercpu_time_millis_testing: 1.494, usercpu_time_millis_training: 27.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.9211, kappa: 0.1838, kb_relative_information_score: -627.6151, mean_absolute_error: 0.0936, 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: 0.7894, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8501, scimark_benchmark: 1262.0552, usercpu_time_millis: 120.756, usercpu_time_millis_testing: 8.439, usercpu_time_millis_training: 112.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9063, kb_relative_information_score: 4.8585, 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: 1268.1221, usercpu_time_millis: 12.809, usercpu_time_millis_testing: 1.563, usercpu_time_millis_training: 11.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -757.7122, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.872, scimark_benchmark: 1266.7616, usercpu_time_millis: 12.883, usercpu_time_millis_testing: 0.951, usercpu_time_millis_training: 11.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -988.4249, mean_absolute_error: 0.1021, 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: 0.8606, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.9015, scimark_benchmark: 1270.134, usercpu_time_millis: 56.509, usercpu_time_millis_testing: 3.145, usercpu_time_millis_training: 53.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.9063, kb_relative_information_score: -1213.8938, mean_absolute_error: 0.1066, 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: 0.8988, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.9255, scimark_benchmark: 1272.4891, usercpu_time_millis: 4.678, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 4.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.9136, kappa: 0.0885, kb_relative_information_score: -761.6398, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9366, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.8693, scimark_benchmark: 1269.7001, usercpu_time_millis: 44.561, usercpu_time_millis_testing: 2.963, usercpu_time_millis_training: 41.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.9166, kappa: 0.1277, kb_relative_information_score: -658.8879, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.794, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.8602, scimark_benchmark: 1272.4007, usercpu_time_millis: 107.708, usercpu_time_millis_testing: 6.383, usercpu_time_millis_training: 101.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -779.0116, 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: 0.8216, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.8729, scimark_benchmark: 1274.9517, usercpu_time_millis: 34.155, usercpu_time_millis_testing: 2.151, usercpu_time_millis_training: 32.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -974.1832, mean_absolute_error: 0.1012, 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: 0.8531, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.218, root_relative_squared_error: 0.8964, scimark_benchmark: 1268.53, usercpu_time_millis: 96.616, usercpu_time_millis_testing: 5.455, usercpu_time_millis_training: 91.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 2.6006, 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: 0.9978, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1257.6091, usercpu_time_millis: 20.807, usercpu_time_millis_testing: 2.124, usercpu_time_millis_training: 18.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.9267, kappa: 0.2565, kb_relative_information_score: -572.6869, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.933, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7669, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.8438, scimark_benchmark: 1257.6658, usercpu_time_millis: 74.318, usercpu_time_millis_testing: 3.724, usercpu_time_millis_training: 70.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.9145, kappa: 0.0992, kb_relative_information_score: -737.5597, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9376, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.813, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.211, root_relative_squared_error: 0.8676, scimark_benchmark: 1258.1903, usercpu_time_millis: 9.923, usercpu_time_millis_testing: 0.617, usercpu_time_millis_training: 9.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.916, kappa: 0.1188, kb_relative_information_score: -689.0353, mean_absolute_error: 0.0961, 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: 0.8102, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8621, scimark_benchmark: 1245.1709, usercpu_time_millis: 69.993, usercpu_time_millis_testing: 5.243, usercpu_time_millis_training: 64.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -922.3555, mean_absolute_error: 0.0989, 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: 0.8337, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.8889, scimark_benchmark: 1267.1862, usercpu_time_millis: 111.099, usercpu_time_millis_testing: 5.254, usercpu_time_millis_training: 105.845,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.9254, kappa: 0.2443, kb_relative_information_score: -560.7868, mean_absolute_error: 0.0909, 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: 0.7664, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.8444, scimark_benchmark: 1275.9361, usercpu_time_millis: 122.133, usercpu_time_millis_testing: 6.008, usercpu_time_millis_training: 116.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.9253, kappa: 0.232, kb_relative_information_score: -642.1214, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9394, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.8491, scimark_benchmark: 1250.7548, usercpu_time_millis: 133.415, usercpu_time_millis_testing: 7.345, usercpu_time_millis_training: 126.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -765.3244, mean_absolute_error: 0.097, 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: 0.8179, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.8748, scimark_benchmark: 1253.7463, usercpu_time_millis: 87.823, usercpu_time_millis_testing: 6.204, usercpu_time_millis_training: 81.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.9224, kappa: 0.2052, kb_relative_information_score: -665.5877, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9291, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.8455, scimark_benchmark: 1237.1863, usercpu_time_millis: 16.308, usercpu_time_millis_testing: 0.824, usercpu_time_millis_training: 15.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.9063, kb_relative_information_score: -1243.4844, mean_absolute_error: 0.1079, 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: 0.9097, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9378, scimark_benchmark: 1273.0887, usercpu_time_millis: 44.579, usercpu_time_millis_testing: 2.984, usercpu_time_millis_training: 41.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -772.9074, mean_absolute_error: 0.0992, 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: 0.8363, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.8852, scimark_benchmark: 1237.454, usercpu_time_millis: 10.751, usercpu_time_millis_testing: 0.967, usercpu_time_millis_training: 9.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.9063, kb_relative_information_score: -1204.7618, mean_absolute_error: 0.111, 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: 0.9359, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.9542, scimark_benchmark: 1266.6078, usercpu_time_millis: 12.686, usercpu_time_millis_testing: 1.071, usercpu_time_millis_training: 11.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.9063, kb_relative_information_score: -1285.0134, 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: 0.9219, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.947, scimark_benchmark: 1270.5835, usercpu_time_millis: 42.981, usercpu_time_millis_testing: 3.262, usercpu_time_millis_training: 39.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -885.2424, mean_absolute_error: 0.0989, 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: 0.8336, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.8829, scimark_benchmark: 1265.5132, usercpu_time_millis: 35.451, usercpu_time_millis_testing: 1.644, usercpu_time_millis_training: 33.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -638.5538, mean_absolute_error: 0.0945, 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: 0.7965, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8567, scimark_benchmark: 1272.4835, usercpu_time_millis: 40.804, usercpu_time_millis_testing: 3.141, usercpu_time_millis_training: 37.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.924, kappa: 0.2194, kb_relative_information_score: -586.3028, 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: 0.206, root_relative_squared_error: 0.847, scimark_benchmark: 1255.1538, usercpu_time_millis: 125.044, usercpu_time_millis_testing: 7.387, usercpu_time_millis_training: 117.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.9063, kb_relative_information_score: -1193.1102, mean_absolute_error: 0.1073, 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: 0.905, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.9312, scimark_benchmark: 1267.8538, usercpu_time_millis: 3.527, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 3.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -770.2761, mean_absolute_error: 0.0992, 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: 0.8363, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.8808, scimark_benchmark: 1260.0909, usercpu_time_millis: 20.573, usercpu_time_millis_testing: 2.015, usercpu_time_millis_training: 18.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.9232, kappa: 0.2143, kb_relative_information_score: -631.6746, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.93, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7768, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8539, scimark_benchmark: 1273.9284, usercpu_time_millis: 14.615, usercpu_time_millis_testing: 1.003, usercpu_time_millis_training: 13.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.9063, kb_relative_information_score: -1083.3819, 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: 0.8941, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.9226, scimark_benchmark: 1246.7552, usercpu_time_millis: 11.65, usercpu_time_millis_testing: 1.014, usercpu_time_millis_training: 10.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.9088, kappa: 0.0327, kb_relative_information_score: -1104.5047, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9166, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8448, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.8986, scimark_benchmark: 1272.7432, usercpu_time_millis: 3.508, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 3.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -654.4635, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9337, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8524, scimark_benchmark: 1267.1941, usercpu_time_millis: 32.9, usercpu_time_millis_testing: 2.195, usercpu_time_millis_training: 30.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.9063, kb_relative_information_score: -935.6524, mean_absolute_error: 0.104, 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: 0.8769, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.9108, scimark_benchmark: 1255.7661, usercpu_time_millis: 58.894, usercpu_time_millis_testing: 5.051, usercpu_time_millis_training: 53.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -933.793, mean_absolute_error: 0.1015, 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: 0.8553, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.896, scimark_benchmark: 1265.1146, usercpu_time_millis: 29.196, usercpu_time_millis_testing: 2.158, usercpu_time_millis_training: 27.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.9063, kb_relative_information_score: -1076.141, mean_absolute_error: 0.1051, 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: 0.8859, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.9182, scimark_benchmark: 1257.5874, usercpu_time_millis: 23.153, usercpu_time_millis_testing: 1.701, usercpu_time_millis_training: 21.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.9271, kappa: 0.2552, kb_relative_information_score: -569.8428, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.938, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7689, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.8457, scimark_benchmark: 1272.9954, usercpu_time_millis: 37.96, usercpu_time_millis_testing: 2.046, usercpu_time_millis_training: 35.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -898.1893, mean_absolute_error: 0.1014, 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: 0.8548, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.8947, scimark_benchmark: 1268.7221, usercpu_time_millis: 58.652, usercpu_time_millis_testing: 4.649, usercpu_time_millis_training: 54.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -810.8507, mean_absolute_error: 0.098, 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: 0.8262, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.8769, scimark_benchmark: 1249.7573, usercpu_time_millis: 83.115, usercpu_time_millis_testing: 4.826, usercpu_time_millis_training: 78.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.9063, kb_relative_information_score: -1307.9219, mean_absolute_error: 0.1102, 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: 0.9292, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9497, scimark_benchmark: 1256.7958, usercpu_time_millis: 3.598, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 3.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.9253, kappa: 0.232, kb_relative_information_score: -657.9403, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9394, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8517, scimark_benchmark: 1268.6615, usercpu_time_millis: 51.394, usercpu_time_millis_testing: 2.534, usercpu_time_millis_training: 48.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -753.8203, mean_absolute_error: 0.0963, 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: 0.8122, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.8663, scimark_benchmark: 1267.4798, usercpu_time_millis: 39.951, usercpu_time_millis_testing: 2.093, usercpu_time_millis_training: 37.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.9189, kappa: 0.1563, kb_relative_information_score: -636.0642, mean_absolute_error: 0.0945, 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: 0.7966, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8558, scimark_benchmark: 1251.356, usercpu_time_millis: 84.536, usercpu_time_millis_testing: 6.569, usercpu_time_millis_training: 77.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.9063, kb_relative_information_score: -1065.4835, mean_absolute_error: 0.1054, 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: 0.8882, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.224, root_relative_squared_error: 0.9211, scimark_benchmark: 1258.2261, usercpu_time_millis: 17.705, usercpu_time_millis_testing: 1.697, usercpu_time_millis_training: 16.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.9253, kappa: 0.232, kb_relative_information_score: -613.2886, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9394, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8527, scimark_benchmark: 1266.7371, usercpu_time_millis: 21.063, usercpu_time_millis_testing: 1.258, usercpu_time_millis_training: 19.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -787.0282, 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: 0.822, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.8727, scimark_benchmark: 1263.8084, usercpu_time_millis: 17.935, usercpu_time_millis_testing: 1.065, usercpu_time_millis_training: 16.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -835.9856, mean_absolute_error: 0.0989, 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: 0.8338, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8776, scimark_benchmark: 1265.832, usercpu_time_millis: 72.611, usercpu_time_millis_testing: 5.091, usercpu_time_millis_training: 67.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.9063, kb_relative_information_score: -1065.5486, 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: 0.8867, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.9183, scimark_benchmark: 1262.1113, usercpu_time_millis: 6.258, usercpu_time_millis_testing: 0.563, usercpu_time_millis_training: 5.695,

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