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: 0.9126, f_measure: 0.9106, kappa: 0.0549, kb_relative_information_score: -678.9541, mean_absolute_error: 0.097, 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: 0.8174, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.8699, scimark_benchmark: 1255.3708, usercpu_time_millis: 101.372, usercpu_time_millis_testing: 8.955, usercpu_time_millis_training: 92.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.9146, kappa: 0.1059, kb_relative_information_score: -693.5936, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9262, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.7945, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8645, scimark_benchmark: 1244.0559, usercpu_time_millis: 17.313, usercpu_time_millis_testing: 0.947, usercpu_time_millis_training: 16.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -983.7871, mean_absolute_error: 0.1012, 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: 0.8534, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.8987, scimark_benchmark: 1258.7117, usercpu_time_millis: 19.274, usercpu_time_millis_testing: 1.189, usercpu_time_millis_training: 18.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.9063, kb_relative_information_score: -1053.8072, mean_absolute_error: 0.1065, 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: 0.8977, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9249, scimark_benchmark: 1259.8945, usercpu_time_millis: 17.051, usercpu_time_millis_testing: 1.527, usercpu_time_millis_training: 15.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 4.7818, 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: 0.9965, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1232.8811, usercpu_time_millis: 13.607, usercpu_time_millis_testing: 1.817, usercpu_time_millis_training: 11.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.9257, kappa: 0.2427, kb_relative_information_score: -561.576, mean_absolute_error: 0.0912, 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: 0.7689, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.8458, scimark_benchmark: 1271.2529, usercpu_time_millis: 132.613, usercpu_time_millis_testing: 8.391, usercpu_time_millis_training: 124.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -697.1726, mean_absolute_error: 0.0964, 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: 0.8124, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.8693, scimark_benchmark: 1233.7212, usercpu_time_millis: 85.482, usercpu_time_millis_testing: 6.695, usercpu_time_millis_training: 78.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.9157, kappa: 0.1175, kb_relative_information_score: -679.5575, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9311, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.21, root_relative_squared_error: 0.8635, scimark_benchmark: 1261.8341, usercpu_time_millis: 82.333, usercpu_time_millis_testing: 6.365, usercpu_time_millis_training: 75.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -649.7497, mean_absolute_error: 0.0959, 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: 0.8082, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8668, scimark_benchmark: 1269.3063, usercpu_time_millis: 44.381, usercpu_time_millis_testing: 3.864, usercpu_time_millis_training: 40.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.9063, kb_relative_information_score: -1020.0045, 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: 0.8768, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.9126, scimark_benchmark: 1233.3555, usercpu_time_millis: 18.827, usercpu_time_millis_testing: 1.595, usercpu_time_millis_training: 17.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.9216, kappa: 0.1916, kb_relative_information_score: -584.9346, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9322, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8504, scimark_benchmark: 1269.2314, usercpu_time_millis: 81.8, usercpu_time_millis_testing: 6.101, usercpu_time_millis_training: 75.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1138.9153, mean_absolute_error: 0.1049, 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: 0.8846, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.9213, scimark_benchmark: 1245.0585, usercpu_time_millis: 34.95, usercpu_time_millis_testing: 1.934, usercpu_time_millis_training: 33.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -906.0499, mean_absolute_error: 0.1016, 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: 0.8569, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.8874, scimark_benchmark: 1262.0126, usercpu_time_millis: 33.97, usercpu_time_millis_testing: 3.074, usercpu_time_millis_training: 30.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.9191, kappa: 0.1578, kb_relative_information_score: -655.5527, mean_absolute_error: 0.0948, 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: 0.7992, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8557, scimark_benchmark: 1260.6778, usercpu_time_millis: 33.659, usercpu_time_millis_testing: 2.44, usercpu_time_millis_training: 31.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.9063, kb_relative_information_score: -1057.005, mean_absolute_error: 0.1053, 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: 0.8877, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.9187, scimark_benchmark: 1250.6193, usercpu_time_millis: 29.29, usercpu_time_millis_testing: 2.315, usercpu_time_millis_training: 26.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.9063, kb_relative_information_score: -1178.6011, 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: 0.9076, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.936, scimark_benchmark: 1245.3772, usercpu_time_millis: 10.315, usercpu_time_millis_testing: 0.68, usercpu_time_millis_training: 9.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -689.8088, mean_absolute_error: 0.0953, 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: 0.8035, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.21, root_relative_squared_error: 0.8635, scimark_benchmark: 1271.9944, usercpu_time_millis: 98.476, usercpu_time_millis_testing: 5.749, usercpu_time_millis_training: 92.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -730.8765, mean_absolute_error: 0.0978, 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: 0.8242, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.871, scimark_benchmark: 1264.9555, usercpu_time_millis: 41.837, usercpu_time_millis_testing: 3.582, usercpu_time_millis_training: 38.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -622.2798, mean_absolute_error: 0.0923, 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: 0.7782, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.8442, scimark_benchmark: 1242.3206, usercpu_time_millis: 135.391, usercpu_time_millis_testing: 5.47, usercpu_time_millis_training: 129.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -655.8811, mean_absolute_error: 0.0949, 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: 0.7998, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8557, scimark_benchmark: 1227.787, usercpu_time_millis: 37.561, usercpu_time_millis_testing: 2.745, usercpu_time_millis_training: 34.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -694.6854, mean_absolute_error: 0.0977, 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: 0.8236, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.8749, scimark_benchmark: 1237.4789, usercpu_time_millis: 64.872, usercpu_time_millis_testing: 6.134, usercpu_time_millis_training: 58.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -978.1115, mean_absolute_error: 0.1033, 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: 0.8706, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.9082, scimark_benchmark: 1249.207, usercpu_time_millis: 25.051, usercpu_time_millis_testing: 2.29, usercpu_time_millis_training: 22.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -897.429, 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: 0.8361, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.8878, scimark_benchmark: 1255.8499, usercpu_time_millis: 58.478, usercpu_time_millis_testing: 3.527, usercpu_time_millis_training: 54.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.9063, kb_relative_information_score: -826.2024, mean_absolute_error: 0.1025, 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: 0.8641, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.219, root_relative_squared_error: 0.9005, scimark_benchmark: 1259.7389, usercpu_time_millis: 21.342, usercpu_time_millis_testing: 2.199, usercpu_time_millis_training: 19.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: 2.6654, 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: 0.9977, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1263.7882, usercpu_time_millis: 17.509, usercpu_time_millis_testing: 2.013, usercpu_time_millis_training: 15.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -905.1892, mean_absolute_error: 0.1, 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: 0.8429, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.216, root_relative_squared_error: 0.888, scimark_benchmark: 1269.4438, usercpu_time_millis: 47.814, usercpu_time_millis_testing: 2.91, usercpu_time_millis_training: 44.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.9063, kb_relative_information_score: -1395.561, 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: 0.9288, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.9525, scimark_benchmark: 1265.9264, usercpu_time_millis: 46.892, usercpu_time_millis_testing: 3.304, usercpu_time_millis_training: 43.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.9269, kappa: 0.2583, kb_relative_information_score: -598.9466, mean_absolute_error: 0.091, 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: 0.7671, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.8436, scimark_benchmark: 1238.3129, usercpu_time_millis: 10.821, usercpu_time_millis_testing: 0.683, usercpu_time_millis_training: 10.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -645.2233, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9357, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.848, scimark_benchmark: 1255.6905, usercpu_time_millis: 26.436, usercpu_time_millis_testing: 1.504, usercpu_time_millis_training: 24.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -618.0135, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8557, scimark_benchmark: 1248.5553, usercpu_time_millis: 24.661, usercpu_time_millis_testing: 1.562, usercpu_time_millis_training: 23.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -742.147, mean_absolute_error: 0.0953, 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: 0.8037, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8566, scimark_benchmark: 1262.3457, usercpu_time_millis: 7.802, usercpu_time_millis_testing: 0.559, usercpu_time_millis_training: 7.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.9224, kappa: 0.2009, kb_relative_information_score: -697.9103, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9331, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8647, scimark_benchmark: 1269.7012, usercpu_time_millis: 3.129, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 2.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -894.5746, mean_absolute_error: 0.1011, 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: 0.8527, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.8938, scimark_benchmark: 1249.0845, usercpu_time_millis: 74.587, usercpu_time_millis_testing: 6.403, usercpu_time_millis_training: 68.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -675.5823, mean_absolute_error: 0.0948, 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: 0.7992, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8556, scimark_benchmark: 1265.5775, usercpu_time_millis: 70.628, usercpu_time_millis_testing: 3.795, usercpu_time_millis_training: 66.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.9276, kappa: 0.2697, kb_relative_information_score: -562.9923, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.205, root_relative_squared_error: 0.843, scimark_benchmark: 1245.9778, usercpu_time_millis: 124.539, usercpu_time_millis_testing: 5.049, usercpu_time_millis_training: 119.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -702.2685, mean_absolute_error: 0.0969, 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: 0.817, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.8663, scimark_benchmark: 1261.4551, usercpu_time_millis: 62.366, usercpu_time_millis_testing: 5.646, usercpu_time_millis_training: 56.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -606.7531, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.938, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7829, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8516, scimark_benchmark: 1220.4928, usercpu_time_millis: 40.993, usercpu_time_millis_testing: 3.099, usercpu_time_millis_training: 37.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.9284, kappa: 0.2754, kb_relative_information_score: -583.5397, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9359, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7692, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.8435, scimark_benchmark: 1250.3381, usercpu_time_millis: 112.406, usercpu_time_millis_testing: 5.497, usercpu_time_millis_training: 106.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -587.5701, mean_absolute_error: 0.0927, 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: 0.7813, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8511, scimark_benchmark: 1265.0213, usercpu_time_millis: 50.541, usercpu_time_millis_testing: 3.314, usercpu_time_millis_training: 47.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -858.2737, 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: 0.8336, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.8794, scimark_benchmark: 1264.5474, usercpu_time_millis: 16.031, usercpu_time_millis_testing: 0.826, usercpu_time_millis_training: 15.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.9281, kappa: 0.2735, kb_relative_information_score: -559.401, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9346, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7639, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.8435, scimark_benchmark: 1269.8649, usercpu_time_millis: 120.429, usercpu_time_millis_testing: 6.772, usercpu_time_millis_training: 113.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.9063, kb_relative_information_score: -1315.2384, 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: 0.9253, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.9488, scimark_benchmark: 1256.7374, usercpu_time_millis: 23.691, usercpu_time_millis_testing: 1.813, usercpu_time_millis_training: 21.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -697.4266, 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: 0.8183, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.8747, scimark_benchmark: 1258.0482, usercpu_time_millis: 9.447, usercpu_time_millis_testing: 0.959, usercpu_time_millis_training: 8.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -641.5865, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.938, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.851, scimark_benchmark: 1251.5829, usercpu_time_millis: 116.927, usercpu_time_millis_testing: 6.793, usercpu_time_millis_training: 110.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -777.9076, mean_absolute_error: 0.0965, 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: 0.814, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.8691, scimark_benchmark: 1249.8128, usercpu_time_millis: 8.938, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 8.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -934.7588, mean_absolute_error: 0.1014, 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: 0.8546, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.8972, scimark_benchmark: 1252.0262, usercpu_time_millis: 63.68, usercpu_time_millis_testing: 4.312, usercpu_time_millis_training: 59.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.9122, kappa: 0.0755, kb_relative_information_score: -632.3841, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9243, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8648, scimark_benchmark: 1263.5239, usercpu_time_millis: 51.807, usercpu_time_millis_testing: 4.934, usercpu_time_millis_training: 46.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9276, kappa: 0.2697, kb_relative_information_score: -552.0025, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.8441, scimark_benchmark: 1256.1822, usercpu_time_millis: 124.634, usercpu_time_millis_testing: 6.374, usercpu_time_millis_training: 118.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -865.7742, mean_absolute_error: 0.1003, 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: 0.846, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.8834, scimark_benchmark: 1265.0869, usercpu_time_millis: 45.056, usercpu_time_millis_testing: 3.818, usercpu_time_millis_training: 41.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.9253, kappa: 0.232, kb_relative_information_score: -646.3861, mean_absolute_error: 0.0935, 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: 0.7881, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.8481, scimark_benchmark: 1250.6378, usercpu_time_millis: 145.681, usercpu_time_millis_testing: 9.264, usercpu_time_millis_training: 136.417,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -954.3175, mean_absolute_error: 0.1009, 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: 0.8507, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.8955, scimark_benchmark: 1261.7238, usercpu_time_millis: 55.987, usercpu_time_millis_testing: 2.978, usercpu_time_millis_training: 53.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.9063, kb_relative_information_score: -857.1818, mean_absolute_error: 0.1133, 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: 0.9554, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.9654, scimark_benchmark: 1263.3869, usercpu_time_millis: 13.059, usercpu_time_millis_testing: 1.409, usercpu_time_millis_training: 11.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.9063, kb_relative_information_score: -1013.8208, 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: 0.8916, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.9163, scimark_benchmark: 1253.2269, usercpu_time_millis: 36.813, usercpu_time_millis_testing: 3.991, usercpu_time_millis_training: 32.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1040.7367, mean_absolute_error: 0.1016, 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: 0.8566, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.9037, scimark_benchmark: 1238.9084, usercpu_time_millis: 113.398, usercpu_time_millis_testing: 5.621, usercpu_time_millis_training: 107.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.9248, kappa: 0.2246, kb_relative_information_score: -621.3864, mean_absolute_error: 0.0931, 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: 0.7849, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.8471, scimark_benchmark: 1254.3414, usercpu_time_millis: 84.845, usercpu_time_millis_testing: 5.113, usercpu_time_millis_training: 79.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -676.4867, mean_absolute_error: 0.0971, 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: 0.8189, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.8723, scimark_benchmark: 1251.0792, usercpu_time_millis: 74.636, usercpu_time_millis_testing: 7.96, usercpu_time_millis_training: 66.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -634.9733, mean_absolute_error: 0.094, 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: 0.7923, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8529, scimark_benchmark: 1249.9492, usercpu_time_millis: 61.712, usercpu_time_millis_testing: 3.983, usercpu_time_millis_training: 57.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -710.498, mean_absolute_error: 0.096, 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: 0.8097, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.8681, scimark_benchmark: 1252.054, usercpu_time_millis: 68.003, usercpu_time_millis_testing: 4.927, usercpu_time_millis_training: 63.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -868.3903, 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: 0.8474, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.8898, scimark_benchmark: 1255.9856, usercpu_time_millis: 67.214, usercpu_time_millis_testing: 5.24, usercpu_time_millis_training: 61.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.9263, kappa: 0.2463, kb_relative_information_score: -614.6179, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7795, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.8494, scimark_benchmark: 1251.0052, usercpu_time_millis: 37.452, usercpu_time_millis_testing: 2.409, usercpu_time_millis_training: 35.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -797.8546, 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: 0.8261, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8735, scimark_benchmark: 1245.8021, usercpu_time_millis: 58.459, usercpu_time_millis_testing: 4.096, usercpu_time_millis_training: 54.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -767.8111, mean_absolute_error: 0.0981, 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: 0.8271, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.8696, scimark_benchmark: 1259.3934, usercpu_time_millis: 19.131, usercpu_time_millis_testing: 1.67, usercpu_time_millis_training: 17.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.9063, kb_relative_information_score: -971.5083, mean_absolute_error: 0.1123, 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: 0.9466, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.9589, scimark_benchmark: 1263.0615, usercpu_time_millis: 11.14, usercpu_time_millis_testing: 1.266, usercpu_time_millis_training: 9.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.9063, kb_relative_information_score: -944.0587, mean_absolute_error: 0.1043, 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: 0.8796, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.912, scimark_benchmark: 1257.941, usercpu_time_millis: 21.797, usercpu_time_millis_testing: 2.148, usercpu_time_millis_training: 19.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1068.4766, mean_absolute_error: 0.1043, 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: 0.8791, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.915, scimark_benchmark: 1250.4232, usercpu_time_millis: 61.208, usercpu_time_millis_testing: 3.527, usercpu_time_millis_training: 57.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.9281, kappa: 0.2735, kb_relative_information_score: -545.2614, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9346, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7596, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.842, scimark_benchmark: 1246.7233, usercpu_time_millis: 173.114, usercpu_time_millis_testing: 8.288, usercpu_time_millis_training: 164.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.925, kappa: 0.2339, kb_relative_information_score: -576.8535, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9333, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7699, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8473, scimark_benchmark: 1262.3288, usercpu_time_millis: 58.644, usercpu_time_millis_testing: 3.54, usercpu_time_millis_training: 55.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.9271, kappa: 0.2632, kb_relative_information_score: -572.9848, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9326, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7671, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.8436, scimark_benchmark: 1255.0258, usercpu_time_millis: 164.567, usercpu_time_millis_testing: 7.943, usercpu_time_millis_training: 156.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -728.2425, mean_absolute_error: 0.0959, 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: 0.8084, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.8681, scimark_benchmark: 1255.8492, usercpu_time_millis: 37.488, usercpu_time_millis_testing: 2.404, usercpu_time_millis_training: 35.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -698.0466, mean_absolute_error: 0.0957, 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: 0.8069, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8573, scimark_benchmark: 1252.1382, usercpu_time_millis: 34.43, usercpu_time_millis_testing: 2.675, usercpu_time_millis_training: 31.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -708.3642, mean_absolute_error: 0.0967, 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: 0.8153, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8647, scimark_benchmark: 1256.4481, usercpu_time_millis: 40.729, usercpu_time_millis_testing: 3.752, usercpu_time_millis_training: 36.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -904.0888, mean_absolute_error: 0.1019, 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: 0.8589, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.8978, scimark_benchmark: 1247.1246, usercpu_time_millis: 27.365, usercpu_time_millis_testing: 2.403, usercpu_time_millis_training: 24.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.9063, kb_relative_information_score: -1261.4098, mean_absolute_error: 0.1096, 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: 0.9242, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.9471, scimark_benchmark: 1252.5017, usercpu_time_millis: 24.484, usercpu_time_millis_testing: 2.184, usercpu_time_millis_training: 22.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.9063, kb_relative_information_score: -1096.1882, mean_absolute_error: 0.1086, 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: 0.9159, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.9399, scimark_benchmark: 1261.5263, usercpu_time_millis: 15.637, usercpu_time_millis_testing: 1.347, usercpu_time_millis_training: 14.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.9063, kb_relative_information_score: -1277.7506, 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: 0.9228, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.9425, scimark_benchmark: 1242.4361, usercpu_time_millis: 3.979, usercpu_time_millis_testing: 0.535, usercpu_time_millis_training: 3.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: 3.3024, 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: 0.9976, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1257.799, usercpu_time_millis: 19.656, usercpu_time_millis_testing: 1.973, usercpu_time_millis_training: 17.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.9189, kappa: 0.1563, kb_relative_information_score: -659.7667, mean_absolute_error: 0.0942, 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: 0.7938, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.8601, scimark_benchmark: 1247.636, usercpu_time_millis: 49.188, usercpu_time_millis_testing: 2.757, usercpu_time_millis_training: 46.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.9186, kappa: 0.1548, kb_relative_information_score: -708.2486, mean_absolute_error: 0.0956, 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: 0.8058, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.8629, scimark_benchmark: 1257.6427, usercpu_time_millis: 6.945, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 6.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.9063, kb_relative_information_score: -831.9094, mean_absolute_error: 0.1012, 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: 0.8533, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.217, root_relative_squared_error: 0.8924, scimark_benchmark: 1254.6414, usercpu_time_millis: 38.99, usercpu_time_millis_testing: 3.272, usercpu_time_millis_training: 35.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.9063, kb_relative_information_score: -1125.4469, mean_absolute_error: 0.1062, 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: 0.8951, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.225, root_relative_squared_error: 0.9252, scimark_benchmark: 1254.2272, usercpu_time_millis: 29.801, usercpu_time_millis_testing: 2.124, usercpu_time_millis_training: 27.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -631.4877, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9347, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.857, scimark_benchmark: 1240.7077, usercpu_time_millis: 90.026, usercpu_time_millis_testing: 5.902, usercpu_time_millis_training: 84.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -830.4106, mean_absolute_error: 0.0986, 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: 0.8313, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.8789, scimark_benchmark: 1257.34, usercpu_time_millis: 82.097, usercpu_time_millis_testing: 5.796, usercpu_time_millis_training: 76.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -932.8938, mean_absolute_error: 0.0997, 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: 0.8406, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.8888, scimark_benchmark: 1241.1301, usercpu_time_millis: 129.371, usercpu_time_millis_testing: 4.962, usercpu_time_millis_training: 124.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.9063, kb_relative_information_score: -1143.1068, mean_absolute_error: 0.1062, 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: 0.8951, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.9258, scimark_benchmark: 1220.5622, usercpu_time_millis: 60.812, usercpu_time_millis_testing: 3.392, usercpu_time_millis_training: 57.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9063, kb_relative_information_score: -0.3297, 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: 0.9972, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1247.3928, usercpu_time_millis: 10.977, usercpu_time_millis_testing: 1.108, usercpu_time_millis_training: 9.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -905.6388, 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: 0.8381, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.8862, scimark_benchmark: 1247.5244, usercpu_time_millis: 122.597, usercpu_time_millis_testing: 5.753, usercpu_time_millis_training: 116.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -661.7836, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9347, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7999, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.856, scimark_benchmark: 1253.716, usercpu_time_millis: 73.567, usercpu_time_millis_testing: 5.493, usercpu_time_millis_training: 68.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.9063, kb_relative_information_score: -1246.5159, mean_absolute_error: 0.1078, 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: 0.9085, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.938, scimark_benchmark: 1257.9595, usercpu_time_millis: 6.969, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 6.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.9088, kappa: 0.0327, kb_relative_information_score: -1441.5538, mean_absolute_error: 0.1066, 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: 0.8983, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.9642, scimark_benchmark: 1235.8897, usercpu_time_millis: 1.69, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 1.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.9063, kb_relative_information_score: -1186.4629, 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: 0.2263, root_relative_squared_error: 0.9302, scimark_benchmark: 1256.136, usercpu_time_millis: 42.007, usercpu_time_millis_testing: 2.637, usercpu_time_millis_training: 39.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -715.398, 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: 0.8131, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8609, scimark_benchmark: 1246.7781, usercpu_time_millis: 51.061, usercpu_time_millis_testing: 3.669, usercpu_time_millis_training: 47.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -671.3175, mean_absolute_error: 0.0944, 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: 0.7957, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.208, root_relative_squared_error: 0.8551, scimark_benchmark: 1244.5988, usercpu_time_millis: 49.79, usercpu_time_millis_testing: 2.97, usercpu_time_millis_training: 46.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.9227, kappa: 0.2026, kb_relative_information_score: -615.9025, mean_absolute_error: 0.0925, 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: 0.7797, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8545, scimark_benchmark: 1255.8549, usercpu_time_millis: 12.369, usercpu_time_millis_testing: 1.128, usercpu_time_millis_training: 11.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -956.4332, 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: 0.2206, root_relative_squared_error: 0.9071, scimark_benchmark: 1244.1914, usercpu_time_millis: 20.366, usercpu_time_millis_testing: 1.862, usercpu_time_millis_training: 18.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -704.7309, mean_absolute_error: 0.0962, 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: 0.8115, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.8651, scimark_benchmark: 1250.9271, usercpu_time_millis: 16.959, usercpu_time_millis_testing: 1.416, usercpu_time_millis_training: 15.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.9063, kb_relative_information_score: -1311.7807, 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: 0.9174, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.9439, scimark_benchmark: 1257.0054, usercpu_time_millis: 59.138, usercpu_time_millis_testing: 3.768, usercpu_time_millis_training: 55.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -920.5486, mean_absolute_error: 0.0996, 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: 0.8398, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.8908, scimark_benchmark: 1256.0697, usercpu_time_millis: 52.7, usercpu_time_millis_testing: 3.588, usercpu_time_millis_training: 49.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -893.9627, mean_absolute_error: 0.0996, 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: 0.8393, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.8859, scimark_benchmark: 1262.44, usercpu_time_millis: 50.814, usercpu_time_millis_testing: 2.725, usercpu_time_millis_training: 48.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -727.4627, mean_absolute_error: 0.0978, 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: 0.8247, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8762, scimark_benchmark: 1249.9732, usercpu_time_millis: 95.811, usercpu_time_millis_testing: 8.714, usercpu_time_millis_training: 87.097,

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