OpenML
Supervised Classification on ozone-level-8hr

Supervised Classification on ozone-level-8hr

Task 145855 Supervised Classification ozone-level-8hr 90654 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

90654 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -811.777, 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: 0.8399, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.8824, scimark_benchmark: 1261.1361, usercpu_time_millis: 48.525, usercpu_time_millis_testing: 4.141, usercpu_time_millis_training: 44.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.9235, kappa: 0.2119, kb_relative_information_score: -629.0903, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9359, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.8485, scimark_benchmark: 1248.33, usercpu_time_millis: 134.458, usercpu_time_millis_testing: 7.96, usercpu_time_millis_training: 126.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.9063, kb_relative_information_score: -1120.3305, 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: 0.9007, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.9304, scimark_benchmark: 1245.483, usercpu_time_millis: 19.257, usercpu_time_millis_testing: 1.505, usercpu_time_millis_training: 17.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9063, kb_relative_information_score: -6.2579, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1246.3213, usercpu_time_millis: 25.372, usercpu_time_millis_testing: 2.274, usercpu_time_millis_training: 23.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -608.4801, mean_absolute_error: 0.0932, 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: 0.7856, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.853, scimark_benchmark: 1269.1617, usercpu_time_millis: 112.596, usercpu_time_millis_testing: 7.774, usercpu_time_millis_training: 104.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -899.8448, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.8887, scimark_benchmark: 1255.7058, usercpu_time_millis: 81.997, usercpu_time_millis_testing: 4.764, usercpu_time_millis_training: 77.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.9063, kb_relative_information_score: -1053.1694, mean_absolute_error: 0.1064, 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: 0.8967, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.9255, scimark_benchmark: 1261.0377, usercpu_time_millis: 22.038, usercpu_time_millis_testing: 2.154, usercpu_time_millis_training: 19.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -817.3273, mean_absolute_error: 0.0965, 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: 0.8137, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.8766, scimark_benchmark: 1257.5571, usercpu_time_millis: 20.146, usercpu_time_millis_testing: 1.078, usercpu_time_millis_training: 19.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -939.9627, mean_absolute_error: 0.1008, 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: 0.8502, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.216, root_relative_squared_error: 0.888, scimark_benchmark: 1267.4741, usercpu_time_millis: 7.491, usercpu_time_millis_testing: 0.577, usercpu_time_millis_training: 6.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.9253, kappa: 0.232, kb_relative_information_score: -669.2459, mean_absolute_error: 0.0938, 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: 0.7906, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8527, scimark_benchmark: 1260.2712, usercpu_time_millis: 166.241, usercpu_time_millis_testing: 6.763, usercpu_time_millis_training: 159.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -761.3582, mean_absolute_error: 0.0979, 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: 0.8255, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.8725, scimark_benchmark: 1270.0178, usercpu_time_millis: 78.019, usercpu_time_millis_testing: 5.78, usercpu_time_millis_training: 72.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -619.1009, mean_absolute_error: 0.0931, 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: 0.785, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8472, scimark_benchmark: 1268.6868, usercpu_time_millis: 59.33, usercpu_time_millis_testing: 3.579, usercpu_time_millis_training: 55.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -596.1602, mean_absolute_error: 0.094, 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: 0.7922, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.8608, scimark_benchmark: 1270.9333, usercpu_time_millis: 63.517, usercpu_time_millis_testing: 5.649, usercpu_time_millis_training: 57.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -631.8907, mean_absolute_error: 0.0927, 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: 0.7814, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8466, scimark_benchmark: 1261.1274, usercpu_time_millis: 142.593, usercpu_time_millis_testing: 6.63, usercpu_time_millis_training: 135.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.929, kappa: 0.2863, kb_relative_information_score: -580.4544, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9339, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.205, root_relative_squared_error: 0.843, scimark_benchmark: 1258.4287, usercpu_time_millis: 56.652, usercpu_time_millis_testing: 3.251, usercpu_time_millis_training: 53.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.9063, kb_relative_information_score: -1128.9095, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9304, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.9514, scimark_benchmark: 1261.407, usercpu_time_millis: 26.366, usercpu_time_millis_testing: 2.383, usercpu_time_millis_training: 23.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1046.8267, 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: 0.8595, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.9039, scimark_benchmark: 1248.1708, usercpu_time_millis: 34.357, usercpu_time_millis_testing: 1.638, usercpu_time_millis_training: 32.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.9063, kb_relative_information_score: -998.4993, mean_absolute_error: 0.1069, 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: 0.901, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.9269, scimark_benchmark: 1263.9207, usercpu_time_millis: 33.497, usercpu_time_millis_testing: 3.221, usercpu_time_millis_training: 30.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -600.9765, mean_absolute_error: 0.0932, 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: 0.7855, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8536, scimark_benchmark: 1266.1656, usercpu_time_millis: 45.46, usercpu_time_millis_testing: 3.911, usercpu_time_millis_training: 41.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.9189, kappa: 0.1563, kb_relative_information_score: -656.1489, mean_absolute_error: 0.0952, 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: 0.8022, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8595, scimark_benchmark: 1247.5256, usercpu_time_millis: 30.591, usercpu_time_millis_testing: 1.866, usercpu_time_millis_training: 28.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -879.21, mean_absolute_error: 0.1001, 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: 0.8439, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.216, root_relative_squared_error: 0.8879, scimark_benchmark: 1227.1302, usercpu_time_millis: 35.238, usercpu_time_millis_testing: 2.779, usercpu_time_millis_training: 32.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.9063, kb_relative_information_score: -1074.0268, 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: 0.8957, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.225, root_relative_squared_error: 0.9251, scimark_benchmark: 1251.3531, usercpu_time_millis: 18.223, usercpu_time_millis_testing: 1.798, usercpu_time_millis_training: 16.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -819.7707, mean_absolute_error: 0.0977, 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: 0.8237, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.8793, scimark_benchmark: 1239.5452, usercpu_time_millis: 52.267, usercpu_time_millis_testing: 3.638, usercpu_time_millis_training: 48.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.9216, kappa: 0.187, kb_relative_information_score: -664.6044, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.938, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8538, scimark_benchmark: 1265.0927, usercpu_time_millis: 105.936, usercpu_time_millis_testing: 7.582, usercpu_time_millis_training: 98.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.9063, kb_relative_information_score: -865.8383, mean_absolute_error: 0.1021, 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: 0.8612, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.8992, scimark_benchmark: 1254.2279, usercpu_time_millis: 56.997, usercpu_time_millis_testing: 5.633, usercpu_time_millis_training: 51.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.9063, kb_relative_information_score: -963.4433, 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: 0.8844, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.9155, scimark_benchmark: 1247.7454, usercpu_time_millis: 53.384, usercpu_time_millis_testing: 4.846, usercpu_time_millis_training: 48.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -706.6187, mean_absolute_error: 0.0977, 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: 0.8239, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.876, scimark_benchmark: 1238.0276, usercpu_time_millis: 14.778, usercpu_time_millis_testing: 1.605, usercpu_time_millis_training: 13.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -709.9306, mean_absolute_error: 0.0954, 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: 0.8043, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8666, scimark_benchmark: 1243.7733, usercpu_time_millis: 50.759, usercpu_time_millis_testing: 2.631, usercpu_time_millis_training: 48.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.9142, kappa: 0.0979, kb_relative_information_score: -754.7405, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9324, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8208, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8703, scimark_benchmark: 1258.7147, usercpu_time_millis: 10.894, usercpu_time_millis_testing: 0.868, usercpu_time_millis_training: 10.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.9281, kappa: 0.2735, kb_relative_information_score: -612.1724, mean_absolute_error: 0.0908, 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: 0.7659, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8501, scimark_benchmark: 1255.5769, usercpu_time_millis: 8.425, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 7.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.9166, kappa: 0.1277, kb_relative_information_score: -789.4147, mean_absolute_error: 0.0966, 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: 0.8145, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.8632, scimark_benchmark: 1269.0157, usercpu_time_millis: 4.708, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 4.351,
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

OpenML bootcamp

From your own software

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

OpenML APIs