Task
Supervised Classification on ozone-level-8hr

Supervised Classification on ozone-level-8hr

Task 145855 Supervised Classification ozone-level-8hr 90654 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.9166, kappa: 0.1277, kb_relative_information_score: -643.7808, mean_absolute_error: 0.095, 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: 0.8006, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8592, scimark_benchmark: 1271.8869, usercpu_time_millis: 67.868, usercpu_time_millis_testing: 5.723, usercpu_time_millis_training: 62.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.9191, kappa: 0.1578, kb_relative_information_score: -689.6616, mean_absolute_error: 0.095, 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: 0.8011, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8594, scimark_benchmark: 1269.5377, usercpu_time_millis: 69.431, usercpu_time_millis_testing: 3.875, usercpu_time_millis_training: 65.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.9191, kappa: 0.1578, kb_relative_information_score: -638.3735, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9355, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.795, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8545, scimark_benchmark: 1266.202, usercpu_time_millis: 126.41, usercpu_time_millis_testing: 8.913, usercpu_time_millis_training: 117.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -889.6549, mean_absolute_error: 0.1006, 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: 0.8483, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.8901, scimark_benchmark: 1253.3168, usercpu_time_millis: 22.848, usercpu_time_millis_testing: 1.806, usercpu_time_millis_training: 21.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.9063, kb_relative_information_score: -910.614, mean_absolute_error: 0.113, 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: 0.9526, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.9634, scimark_benchmark: 1255.1149, usercpu_time_millis: 14.758, usercpu_time_millis_testing: 1.495, usercpu_time_millis_training: 13.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -878.8916, mean_absolute_error: 0.1001, 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: 0.8441, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.8887, scimark_benchmark: 1241.2993, usercpu_time_millis: 6.22, usercpu_time_millis_testing: 0.462, usercpu_time_millis_training: 5.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.9266, kappa: 0.2482, kb_relative_information_score: -631.0722, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.939, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.8471, scimark_benchmark: 1268.5729, usercpu_time_millis: 152.171, usercpu_time_millis_testing: 6.944, usercpu_time_millis_training: 145.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.9106, kappa: 0.0549, kb_relative_information_score: -782.3589, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9245, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.82, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.8817, scimark_benchmark: 1262.2373, usercpu_time_millis: 2.575, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 2.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9166, kappa: 0.1277, kb_relative_information_score: -658.9723, mean_absolute_error: 0.0953, 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: 0.8037, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8615, scimark_benchmark: 1240.0618, usercpu_time_millis: 48.718, usercpu_time_millis_testing: 4.196, usercpu_time_millis_training: 44.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -928.002, mean_absolute_error: 0.1004, 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: 0.8466, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.8933, scimark_benchmark: 1268.7642, usercpu_time_millis: 45.266, usercpu_time_millis_testing: 2.866, usercpu_time_millis_training: 42.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.9234, kappa: 0.2159, kb_relative_information_score: -596.2097, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9315, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7731, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8511, scimark_benchmark: 1260.3888, usercpu_time_millis: 42.741, usercpu_time_millis_testing: 2.396, usercpu_time_millis_training: 40.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -843.5786, mean_absolute_error: 0.1015, 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: 0.8557, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.8932, scimark_benchmark: 1244.77, usercpu_time_millis: 20.219, usercpu_time_millis_testing: 1.67, usercpu_time_millis_training: 18.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -767.5433, mean_absolute_error: 0.0965, 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: 0.8133, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.8692, scimark_benchmark: 1268.9488, usercpu_time_millis: 24.463, usercpu_time_millis_testing: 1.117, usercpu_time_millis_training: 23.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -758.5049, mean_absolute_error: 0.0972, 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: 0.8198, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.8693, scimark_benchmark: 1268.867, usercpu_time_millis: 23.885, usercpu_time_millis_testing: 1.596, usercpu_time_millis_training: 22.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -686.0431, mean_absolute_error: 0.0971, 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: 0.8184, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.8737, scimark_benchmark: 1253.6978, usercpu_time_millis: 16.893, usercpu_time_millis_testing: 1.503, usercpu_time_millis_training: 15.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.9063, kb_relative_information_score: -1191.7472, mean_absolute_error: 0.1103, 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: 0.9297, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9499, scimark_benchmark: 1256.8369, usercpu_time_millis: 2.743, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 2.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -1008.4088, mean_absolute_error: 0.1032, 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: 0.8704, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.9071, scimark_benchmark: 1269.7466, usercpu_time_millis: 14.503, usercpu_time_millis_testing: 1.057, usercpu_time_millis_training: 13.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.9286, kappa: 0.28, kb_relative_information_score: -552.834, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9342, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7609, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.8412, scimark_benchmark: 1273.4508, usercpu_time_millis: 97.458, usercpu_time_millis_testing: 4.624, usercpu_time_millis_training: 92.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.9245, kappa: 0.2267, kb_relative_information_score: -588.7396, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.934, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.8471, scimark_benchmark: 1261.0656, usercpu_time_millis: 133.316, usercpu_time_millis_testing: 8.964, usercpu_time_millis_training: 124.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -803.962, mean_absolute_error: 0.0988, 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: 0.8333, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.8795, scimark_benchmark: 1273.4716, usercpu_time_millis: 56.753, usercpu_time_millis_testing: 4.297, usercpu_time_millis_training: 52.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.9216, kappa: 0.1916, kb_relative_information_score: -590.4047, mean_absolute_error: 0.0925, 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: 0.7799, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.8508, scimark_benchmark: 1255.6946, usercpu_time_millis: 37.546, usercpu_time_millis_testing: 2.969, usercpu_time_millis_training: 34.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -732.5939, mean_absolute_error: 0.0994, 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: 0.8384, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.8843, scimark_benchmark: 1264.3728, usercpu_time_millis: 63.155, usercpu_time_millis_testing: 6.096, usercpu_time_millis_training: 57.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -963.3383, mean_absolute_error: 0.1008, 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: 0.8495, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.8945, scimark_benchmark: 1268.9913, usercpu_time_millis: 55.399, usercpu_time_millis_testing: 2.855, usercpu_time_millis_training: 52.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -1048.3707, mean_absolute_error: 0.1023, 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: 0.8623, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.22, root_relative_squared_error: 0.9047, scimark_benchmark: 1259.2315, usercpu_time_millis: 16.981, usercpu_time_millis_testing: 0.752, usercpu_time_millis_training: 16.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.9194, kappa: 0.1593, kb_relative_information_score: -680.2389, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9386, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8019, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8576, scimark_benchmark: 1260.7461, usercpu_time_millis: 86.745, usercpu_time_millis_testing: 5.337, usercpu_time_millis_training: 81.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.9063, kb_relative_information_score: -1050.6194, mean_absolute_error: 0.1056, 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: 0.8902, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.9203, scimark_benchmark: 1262.6014, usercpu_time_millis: 14.047, usercpu_time_millis_testing: 1.173, usercpu_time_millis_training: 12.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.9063, kb_relative_information_score: -1106.3794, mean_absolute_error: 0.1091, 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: 0.92, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.942, scimark_benchmark: 1236.2879, usercpu_time_millis: 11.239, usercpu_time_millis_testing: 0.969, usercpu_time_millis_training: 10.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.9063, kb_relative_information_score: -1182.9461, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9163, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.9404, scimark_benchmark: 1257.1819, usercpu_time_millis: 48.212, usercpu_time_millis_testing: 4.184, usercpu_time_millis_training: 44.028,
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: 0.9025, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -885.0027, 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: 0.8366, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.885, scimark_benchmark: 1248.1959, usercpu_time_millis: 102.614, usercpu_time_millis_testing: 5.428, usercpu_time_millis_training: 97.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.9154, kappa: 0.1097, kb_relative_information_score: -703.4654, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9386, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.8654, scimark_benchmark: 1263.2337, usercpu_time_millis: 33.455, usercpu_time_millis_testing: 2.613, usercpu_time_millis_training: 30.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -782.0999, mean_absolute_error: 0.0976, 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: 0.8233, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.874, scimark_benchmark: 1247.444, usercpu_time_millis: 94.326, usercpu_time_millis_testing: 6.316, usercpu_time_millis_training: 88.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -641.1709, mean_absolute_error: 0.0935, 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: 0.7885, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.8495, scimark_benchmark: 1254.6879, usercpu_time_millis: 78.765, usercpu_time_millis_testing: 4.664, usercpu_time_millis_training: 74.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.9155, kappa: 0.1161, kb_relative_information_score: -751.8558, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9277, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8014, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.8697, scimark_benchmark: 1258.1531, usercpu_time_millis: 4.943, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 4.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -907.4259, mean_absolute_error: 0.0998, 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: 0.8418, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.8884, scimark_benchmark: 1260.3881, usercpu_time_millis: 38.224, usercpu_time_millis_testing: 2.385, usercpu_time_millis_training: 35.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: 3.5777, 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: 0.9974, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1255.524, usercpu_time_millis: 23.07, usercpu_time_millis_testing: 2.321, usercpu_time_millis_training: 20.749,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.9063, kb_relative_information_score: -1133.4031, mean_absolute_error: 0.1056, 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: 0.8906, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.9228, scimark_benchmark: 1246.6165, usercpu_time_millis: 39.777, usercpu_time_millis_testing: 2.203, usercpu_time_millis_training: 37.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.9157, kappa: 0.1175, kb_relative_information_score: -717.3526, mean_absolute_error: 0.0957, 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: 0.8071, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8622, scimark_benchmark: 1258.4891, usercpu_time_millis: 38.668, usercpu_time_millis_testing: 2.196, usercpu_time_millis_training: 36.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.9063, kb_relative_information_score: -1118.0318, 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: 0.8863, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.224, root_relative_squared_error: 0.921, scimark_benchmark: 1266.6357, usercpu_time_millis: 62.128, usercpu_time_millis_testing: 4.138, usercpu_time_millis_training: 57.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.9063, kb_relative_information_score: -1030.1678, 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: 0.9155, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.228, root_relative_squared_error: 0.9374, scimark_benchmark: 1260.1141, usercpu_time_millis: 11.032, usercpu_time_millis_testing: 1.025, usercpu_time_millis_training: 10.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.9063, kb_relative_information_score: -820.6533, mean_absolute_error: 0.1011, 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: 0.8527, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.8913, scimark_benchmark: 1264.1601, usercpu_time_millis: 51.818, usercpu_time_millis_testing: 5.086, usercpu_time_millis_training: 46.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -786.3351, mean_absolute_error: 0.1001, 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: 0.8441, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.8829, scimark_benchmark: 1251.2573, usercpu_time_millis: 38.466, usercpu_time_millis_testing: 3.881, usercpu_time_millis_training: 34.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.9115, kappa: 0.0658, kb_relative_information_score: -637.3728, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9271, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.8657, scimark_benchmark: 1257.4543, usercpu_time_millis: 35.439, usercpu_time_millis_testing: 3.246, usercpu_time_millis_training: 32.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.9063, kb_relative_information_score: -1212.8453, mean_absolute_error: 0.1071, 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: 0.9032, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.9328, scimark_benchmark: 1260.3222, usercpu_time_millis: 28.021, usercpu_time_millis_testing: 1.782, usercpu_time_millis_training: 26.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.9063, kb_relative_information_score: -1193.2754, 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: 0.8958, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.9282, scimark_benchmark: 1251.7046, usercpu_time_millis: 68.358, usercpu_time_millis_testing: 4.68, usercpu_time_millis_training: 63.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.9063, kb_relative_information_score: -1122.6758, mean_absolute_error: 0.1055, 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: 0.8897, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.9226, scimark_benchmark: 1256.2407, usercpu_time_millis: 63.286, usercpu_time_millis_testing: 4.326, usercpu_time_millis_training: 58.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.9166, kappa: 0.1277, kb_relative_information_score: -725.1308, mean_absolute_error: 0.0959, 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: 0.8082, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.863, scimark_benchmark: 1261.3549, usercpu_time_millis: 47.855, usercpu_time_millis_testing: 3.338, usercpu_time_millis_training: 44.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.9063, kb_relative_information_score: -1157.1825, mean_absolute_error: 0.1082, 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: 0.9125, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.938, scimark_benchmark: 1266.5715, usercpu_time_millis: 42.763, usercpu_time_millis_testing: 4.014, usercpu_time_millis_training: 38.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.9063, kb_relative_information_score: -1219.6114, 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: 0.9073, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.9372, scimark_benchmark: 1256.8855, usercpu_time_millis: 2.752, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 2.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -661.8476, 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: 0.798, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8542, scimark_benchmark: 1242.6528, usercpu_time_millis: 91.148, usercpu_time_millis_testing: 5.228, usercpu_time_millis_training: 85.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.9122, kappa: 0.0755, kb_relative_information_score: -691.2562, mean_absolute_error: 0.0966, 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: 0.8147, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.8673, scimark_benchmark: 1269.135, usercpu_time_millis: 40.257, usercpu_time_millis_testing: 3.351, usercpu_time_millis_training: 36.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.9269, kappa: 0.2583, kb_relative_information_score: -622.5595, mean_absolute_error: 0.0923, 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: 0.778, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.8451, scimark_benchmark: 1238.8675, usercpu_time_millis: 151.568, usercpu_time_millis_testing: 6.066, usercpu_time_millis_training: 145.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.916, kappa: 0.1188, kb_relative_information_score: -699.6837, mean_absolute_error: 0.094, 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: 0.7927, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8622, scimark_benchmark: 1252.532, usercpu_time_millis: 22.506, usercpu_time_millis_testing: 1.273, usercpu_time_millis_training: 21.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.9063, kb_relative_information_score: -987.8772, 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: 0.889, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.9191, scimark_benchmark: 1248.9353, usercpu_time_millis: 24.632, usercpu_time_millis_testing: 2.793, usercpu_time_millis_training: 21.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.9191, kappa: 0.1578, kb_relative_information_score: -661.3057, mean_absolute_error: 0.0951, 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: 0.8016, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8585, scimark_benchmark: 1251.2244, usercpu_time_millis: 11.711, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 10.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.9063, kb_relative_information_score: -1108.3094, mean_absolute_error: 0.1049, 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: 0.8842, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.9172, scimark_benchmark: 1270.5573, usercpu_time_millis: 10.129, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 9.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -764.0613, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.8815, scimark_benchmark: 1251.2989, usercpu_time_millis: 43.713, usercpu_time_millis_testing: 3.522, usercpu_time_millis_training: 40.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.9063, kb_relative_information_score: -1090.9739, 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: 0.907, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.227, root_relative_squared_error: 0.9334, scimark_benchmark: 1198.8893, usercpu_time_millis: 31.111, usercpu_time_millis_testing: 2.947, usercpu_time_millis_training: 28.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -708.0037, mean_absolute_error: 0.0974, 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: 0.8213, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.8739, scimark_benchmark: 1270.3883, usercpu_time_millis: 85.475, usercpu_time_millis_testing: 7.453, usercpu_time_millis_training: 78.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -790.2936, mean_absolute_error: 0.0989, 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: 0.834, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.8743, scimark_benchmark: 1244.2794, usercpu_time_millis: 26.77, usercpu_time_millis_testing: 2.345, usercpu_time_millis_training: 24.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.9258, kappa: 0.2392, kb_relative_information_score: -614.9554, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9383, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8473, scimark_benchmark: 1235.4986, usercpu_time_millis: 81.852, usercpu_time_millis_testing: 4.62, usercpu_time_millis_training: 77.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -606.0012, mean_absolute_error: 0.093, 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: 0.7843, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.8506, scimark_benchmark: 1243.7954, usercpu_time_millis: 78.369, usercpu_time_millis_testing: 5.1, usercpu_time_millis_training: 73.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -830.5494, mean_absolute_error: 0.0987, 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: 0.8318, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.8807, scimark_benchmark: 1265.6619, usercpu_time_millis: 13.7, usercpu_time_millis_testing: 0.86, usercpu_time_millis_training: 12.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.9154, kappa: 0.1097, kb_relative_information_score: -789.718, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9386, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.211, root_relative_squared_error: 0.8674, scimark_benchmark: 1257.5488, usercpu_time_millis: 6.136, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 5.679,
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: 0.8903, f_measure: 0.9063, kb_relative_information_score: -957.8718, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8839, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.915, scimark_benchmark: 1250.4679, usercpu_time_millis: 54.32, usercpu_time_millis_testing: 5.14, usercpu_time_millis_training: 49.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -646.6114, mean_absolute_error: 0.0955, 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: 0.8055, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.8655, scimark_benchmark: 1264.9667, usercpu_time_millis: 42.668, usercpu_time_millis_testing: 3.986, usercpu_time_millis_training: 38.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.928, kappa: 0.2762, kb_relative_information_score: -571.2153, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.932, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.76, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.8423, scimark_benchmark: 1239.9858, usercpu_time_millis: 108.385, usercpu_time_millis_testing: 4.57, usercpu_time_millis_training: 103.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.9063, kb_relative_information_score: -834.1665, mean_absolute_error: 0.1024, 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: 0.8632, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.8993, scimark_benchmark: 1265.9409, usercpu_time_millis: 30.35, usercpu_time_millis_testing: 3.334, usercpu_time_millis_training: 27.016,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs