OpenML
Supervised Classification on ozone-level-8hr

Supervised Classification on ozone-level-8hr

Task 145855 Supervised Classification ozone-level-8hr 90654 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -676.6633, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9337, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8567, scimark_benchmark: 1264.4439, usercpu_time_millis: 46.077, usercpu_time_millis_testing: 2.928, usercpu_time_millis_training: 43.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.9063, kb_relative_information_score: -932.0932, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9504, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.234, root_relative_squared_error: 0.9619, scimark_benchmark: 1276.2471, usercpu_time_millis: 25.477, usercpu_time_millis_testing: 2.831, usercpu_time_millis_training: 22.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.9063, kb_relative_information_score: -977.5161, 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: 0.8889, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.9186, scimark_benchmark: 1255.4051, usercpu_time_millis: 39.672, usercpu_time_millis_testing: 3.553, usercpu_time_millis_training: 36.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.9184, kappa: 0.1533, kb_relative_information_score: -648.9506, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9279, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.8521, scimark_benchmark: 1259.5938, usercpu_time_millis: 35.043, usercpu_time_millis_testing: 2.31, usercpu_time_millis_training: 32.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -748.8234, mean_absolute_error: 0.0973, 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: 0.8204, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.8738, scimark_benchmark: 1278.156, usercpu_time_millis: 77.09, usercpu_time_millis_testing: 5.769, usercpu_time_millis_training: 71.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.9063, kb_relative_information_score: -1091.7073, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9048, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.9317, scimark_benchmark: 1267.0682, usercpu_time_millis: 23.614, usercpu_time_millis_testing: 2.25, usercpu_time_millis_training: 21.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.9277, kappa: 0.2744, kb_relative_information_score: -585.0303, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7602, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8468, scimark_benchmark: 1278.8444, usercpu_time_millis: 74.182, usercpu_time_millis_testing: 2.9, usercpu_time_millis_training: 71.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -797.2906, mean_absolute_error: 0.0999, 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: 0.8421, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.8856, scimark_benchmark: 1272.0663, usercpu_time_millis: 25.512, usercpu_time_millis_testing: 2.196, usercpu_time_millis_training: 23.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.9063, kb_relative_information_score: -1065.0092, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.9528, scimark_benchmark: 1247.5535, usercpu_time_millis: 24.437, usercpu_time_millis_testing: 2.508, usercpu_time_millis_training: 21.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.9244, kappa: 0.2304, kb_relative_information_score: -650.6408, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9305, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7779, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8575, scimark_benchmark: 1272.3305, usercpu_time_millis: 199.989, usercpu_time_millis_testing: 7.607, usercpu_time_millis_training: 192.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.9063, kb_relative_information_score: -1018.1784, 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: 0.93, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.9461, scimark_benchmark: 1269.6294, usercpu_time_millis: 9.971, usercpu_time_millis_testing: 0.975, usercpu_time_millis_training: 8.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.9189, kappa: 0.1563, kb_relative_information_score: -711.0498, 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: 0.8028, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.861, scimark_benchmark: 1261.5886, usercpu_time_millis: 6.683, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 6.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -593.6536, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7772, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.8464, scimark_benchmark: 1285.9935, usercpu_time_millis: 137.493, usercpu_time_millis_testing: 7.82, usercpu_time_millis_training: 129.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -646.7462, mean_absolute_error: 0.096, 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: 0.8092, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.8672, scimark_benchmark: 1259.545, usercpu_time_millis: 94.113, usercpu_time_millis_testing: 8.746, usercpu_time_millis_training: 85.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.9264, kappa: 0.2547, kb_relative_information_score: -589.6808, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9318, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7719, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.8433, scimark_benchmark: 1265.5733, usercpu_time_millis: 96.772, usercpu_time_millis_testing: 4.708, usercpu_time_millis_training: 92.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.9203, kappa: 0.1742, kb_relative_information_score: -610.9035, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8543, scimark_benchmark: 1281.5372, usercpu_time_millis: 93.5, usercpu_time_millis_testing: 7.217, usercpu_time_millis_training: 86.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.9063, kb_relative_information_score: -1118.7297, mean_absolute_error: 0.1106, 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: 0.9327, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.9502, scimark_benchmark: 1256.5682, usercpu_time_millis: 13.201, usercpu_time_millis_testing: 1.233, usercpu_time_millis_training: 11.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.9197, kappa: 0.1608, kb_relative_information_score: -755.7966, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9421, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.8644, scimark_benchmark: 1265.1411, usercpu_time_millis: 5.184, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 4.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -863.6237, 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: 0.2152, root_relative_squared_error: 0.8846, scimark_benchmark: 1261.1949, usercpu_time_millis: 73.406, usercpu_time_millis_testing: 4.902, usercpu_time_millis_training: 68.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -626.2031, mean_absolute_error: 0.0938, 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: 0.7909, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8525, scimark_benchmark: 1282.5614, usercpu_time_millis: 65.812, usercpu_time_millis_testing: 3.988, usercpu_time_millis_training: 61.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -643.9756, mean_absolute_error: 0.0941, 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: 0.7932, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8524, scimark_benchmark: 1259.4222, usercpu_time_millis: 122.753, usercpu_time_millis_testing: 8.275, usercpu_time_millis_training: 114.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.9149, kappa: 0.1071, kb_relative_information_score: -720.9103, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9297, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8196, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8665, scimark_benchmark: 1276.9822, usercpu_time_millis: 60.542, usercpu_time_millis_testing: 4.786, usercpu_time_millis_training: 55.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -644.5252, mean_absolute_error: 0.0937, 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: 0.7898, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8589, scimark_benchmark: 1281.0289, usercpu_time_millis: 117.812, usercpu_time_millis_testing: 5.715, usercpu_time_millis_training: 112.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -762.8831, mean_absolute_error: 0.1, 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: 0.8429, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.8862, scimark_benchmark: 1250.1318, usercpu_time_millis: 53.675, usercpu_time_millis_testing: 5.381, usercpu_time_millis_training: 48.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -701.6407, mean_absolute_error: 0.0966, 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: 0.8142, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.8658, scimark_benchmark: 1281.5304, usercpu_time_millis: 80.934, usercpu_time_millis_testing: 6.513, usercpu_time_millis_training: 74.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.925, kappa: 0.2302, kb_relative_information_score: -604.2468, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9375, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.786, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8501, scimark_benchmark: 1284.031, usercpu_time_millis: 89.299, usercpu_time_millis_testing: 5.707, usercpu_time_millis_training: 83.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.9211, kappa: 0.1838, kb_relative_information_score: -638.4556, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9333, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8544, scimark_benchmark: 1280.1512, usercpu_time_millis: 25.662, usercpu_time_millis_testing: 1.984, usercpu_time_millis_training: 23.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -1082.3522, mean_absolute_error: 0.1028, 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: 0.8664, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.9049, scimark_benchmark: 1270.5903, usercpu_time_millis: 5.937, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 5.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -802.5678, mean_absolute_error: 0.0963, 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: 0.8119, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.8752, scimark_benchmark: 1253.8184, usercpu_time_millis: 99.118, usercpu_time_millis_testing: 4.227, usercpu_time_millis_training: 94.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.916, kappa: 0.1188, kb_relative_information_score: -650.2762, mean_absolute_error: 0.0957, 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: 0.8065, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.8628, scimark_benchmark: 1255.716, usercpu_time_millis: 47.77, usercpu_time_millis_testing: 4.103, usercpu_time_millis_training: 43.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.9267, kappa: 0.2565, kb_relative_information_score: -562.3213, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.933, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.8461, scimark_benchmark: 1264.79, usercpu_time_millis: 123.609, usercpu_time_millis_testing: 6.188, usercpu_time_millis_training: 117.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.9161, kappa: 0.125, kb_relative_information_score: -937.8015, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9263, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8215, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.8994, scimark_benchmark: 1274.5493, usercpu_time_millis: 3.639, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 3.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.9063, kb_relative_information_score: -1231.0221, 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: 0.9026, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.227, root_relative_squared_error: 0.9334, scimark_benchmark: 1258.5263, usercpu_time_millis: 20.949, usercpu_time_millis_testing: 1.24, usercpu_time_millis_training: 19.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -818.1063, mean_absolute_error: 0.0972, 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: 0.8191, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.8779, scimark_benchmark: 1280.5776, usercpu_time_millis: 55.081, usercpu_time_millis_testing: 2.659, usercpu_time_millis_training: 52.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.9063, kb_relative_information_score: -1031.9363, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9244, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.9411, scimark_benchmark: 1282.8038, usercpu_time_millis: 6.867, usercpu_time_millis_testing: 0.597, usercpu_time_millis_training: 6.27,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.9063, kb_relative_information_score: -1300.9333, mean_absolute_error: 0.11, 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: 0.9276, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.9512, scimark_benchmark: 1266.1628, usercpu_time_millis: 9.965, usercpu_time_millis_testing: 0.793, usercpu_time_millis_training: 9.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -689.0797, mean_absolute_error: 0.0954, 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: 0.8046, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8586, scimark_benchmark: 1282, usercpu_time_millis: 76.636, usercpu_time_millis_testing: 4.201, usercpu_time_millis_training: 72.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1138.9584, mean_absolute_error: 0.1047, 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: 0.8824, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.92, scimark_benchmark: 1267.1299, usercpu_time_millis: 53.004, usercpu_time_millis_testing: 2.883, usercpu_time_millis_training: 50.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.914, kappa: 0.0967, kb_relative_information_score: -774.1966, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9281, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.8686, scimark_benchmark: 1280.0053, usercpu_time_millis: 49.502, usercpu_time_millis_testing: 3.498, usercpu_time_millis_training: 46.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.9063, kb_relative_information_score: -1024.6545, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9085, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.9329, scimark_benchmark: 1265.6783, usercpu_time_millis: 30.071, usercpu_time_millis_testing: 2.704, usercpu_time_millis_training: 27.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.9063, kb_relative_information_score: -957.9807, mean_absolute_error: 0.1041, 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: 0.8775, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.9077, scimark_benchmark: 1272.7379, usercpu_time_millis: 25.484, usercpu_time_millis_testing: 2.473, usercpu_time_millis_training: 23.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -920.8322, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.847, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.217, root_relative_squared_error: 0.8921, scimark_benchmark: 1270.4784, usercpu_time_millis: 16.52, usercpu_time_millis_testing: 1.081, usercpu_time_millis_training: 15.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.9275, kappa: 0.262, kb_relative_information_score: -649.4483, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.8439, scimark_benchmark: 1274.294, usercpu_time_millis: 32.712, usercpu_time_millis_testing: 1.559, usercpu_time_millis_training: 31.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.925, kappa: 0.2302, kb_relative_information_score: -614.5716, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9375, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8537, scimark_benchmark: 1277.6841, usercpu_time_millis: 127.907, usercpu_time_millis_testing: 6.725, usercpu_time_millis_training: 121.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -677.8777, mean_absolute_error: 0.0958, 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: 0.8075, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.861, scimark_benchmark: 1274.5004, usercpu_time_millis: 29.334, usercpu_time_millis_testing: 1.978, usercpu_time_millis_training: 27.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -766.0727, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9415, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.8784, scimark_benchmark: 1277.0008, usercpu_time_millis: 63.781, usercpu_time_millis_testing: 5.413, usercpu_time_millis_training: 58.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.9063, kb_relative_information_score: -1052.0357, mean_absolute_error: 0.105, 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: 0.8848, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.9178, scimark_benchmark: 1262.2553, usercpu_time_millis: 58.665, usercpu_time_millis_testing: 4.311, usercpu_time_millis_training: 54.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.9063, kb_relative_information_score: -1221.0658, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9138, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.941, scimark_benchmark: 1280.2251, usercpu_time_millis: 5.661, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 5.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -851.1047, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8312, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.8808, scimark_benchmark: 1264.5501, usercpu_time_millis: 91.689, usercpu_time_millis_testing: 4.617, usercpu_time_millis_training: 87.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.9063, kb_relative_information_score: -1049.7251, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.222, root_relative_squared_error: 0.9129, scimark_benchmark: 1282.2925, usercpu_time_millis: 34.84, usercpu_time_millis_testing: 2.479, usercpu_time_millis_training: 32.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.9281, kappa: 0.2807, kb_relative_information_score: -610.3756, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9308, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.76, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.846, scimark_benchmark: 1281.8802, usercpu_time_millis: 27.72, usercpu_time_millis_testing: 1.264, usercpu_time_millis_training: 26.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.9186, kappa: 0.1493, kb_relative_information_score: -654.7563, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9378, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7992, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8577, scimark_benchmark: 1265.107, usercpu_time_millis: 120.324, usercpu_time_millis_testing: 9.221, usercpu_time_millis_training: 111.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.9211, kappa: 0.1838, kb_relative_information_score: -637.1561, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9333, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7909, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.8562, scimark_benchmark: 1264.8966, usercpu_time_millis: 21.907, usercpu_time_millis_testing: 1.786, usercpu_time_millis_training: 20.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -748.8384, mean_absolute_error: 0.0964, 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: 0.8125, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.8659, scimark_benchmark: 1289.8434, usercpu_time_millis: 69.489, usercpu_time_millis_testing: 4.063, usercpu_time_millis_training: 65.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -681.0333, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8524, scimark_benchmark: 1267.5313, usercpu_time_millis: 19.852, usercpu_time_millis_testing: 0.885, usercpu_time_millis_training: 18.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -835.365, 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: 0.8228, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.8807, scimark_benchmark: 1278.9031, usercpu_time_millis: 19.357, usercpu_time_millis_testing: 1.059, usercpu_time_millis_training: 18.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -794.17, mean_absolute_error: 0.0979, 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: 0.8254, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.8691, scimark_benchmark: 1270.8045, usercpu_time_millis: 14.431, usercpu_time_millis_testing: 0.876, usercpu_time_millis_training: 13.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -600.5701, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7753, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.8494, scimark_benchmark: 1286.0442, usercpu_time_millis: 133.65, usercpu_time_millis_testing: 6.07, usercpu_time_millis_training: 127.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.9063, kb_relative_information_score: -911.5439, mean_absolute_error: 0.1039, 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: 0.8756, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.9084, scimark_benchmark: 1254.8442, usercpu_time_millis: 50.066, usercpu_time_millis_testing: 5.006, usercpu_time_millis_training: 45.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -853.6777, mean_absolute_error: 0.1008, 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: 0.8501, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.8934, scimark_benchmark: 1265.6116, usercpu_time_millis: 47.396, usercpu_time_millis_testing: 4.883, usercpu_time_millis_training: 42.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -664.3676, mean_absolute_error: 0.0943, 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: 0.7947, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.861, scimark_benchmark: 1256.6996, usercpu_time_millis: 105.793, usercpu_time_millis_testing: 5.502, usercpu_time_millis_training: 100.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -690.5591, mean_absolute_error: 0.0974, 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: 0.821, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.8712, scimark_benchmark: 1263.184, usercpu_time_millis: 95.352, usercpu_time_millis_testing: 7.849, usercpu_time_millis_training: 87.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -731.8321, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.8764, scimark_benchmark: 1280.7463, usercpu_time_millis: 27.262, usercpu_time_millis_testing: 2.192, usercpu_time_millis_training: 25.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -746.2517, mean_absolute_error: 0.0995, 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: 0.8393, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.8854, scimark_benchmark: 1282.2937, usercpu_time_millis: 18.353, usercpu_time_millis_testing: 1.705, usercpu_time_millis_training: 16.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.9063, kb_relative_information_score: -1086.9683, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9087, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.9338, scimark_benchmark: 1269.1438, usercpu_time_millis: 11.765, usercpu_time_millis_testing: 1.085, usercpu_time_millis_training: 10.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -716.5025, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.8093, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.8619, scimark_benchmark: 1281.4953, usercpu_time_millis: 85.151, usercpu_time_millis_testing: 5.208, usercpu_time_millis_training: 79.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1007.4073, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8563, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.9013, scimark_benchmark: 1272.2601, usercpu_time_millis: 68.452, usercpu_time_millis_testing: 4.231, usercpu_time_millis_training: 64.221,

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