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: 0.9104, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -693.4031, mean_absolute_error: 0.096, 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: 0.8094, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8611, scimark_benchmark: 1270.1348, usercpu_time_millis: 63.878, usercpu_time_millis_testing: 5.072, usercpu_time_millis_training: 58.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.9224, kappa: 0.2009, kb_relative_information_score: -583.935, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9331, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7824, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.851, scimark_benchmark: 1266.8268, usercpu_time_millis: 73.791, usercpu_time_millis_testing: 6.384, usercpu_time_millis_training: 67.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.9216, kappa: 0.187, kb_relative_information_score: -685.8737, mean_absolute_error: 0.0949, 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: 0.8003, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8571, scimark_benchmark: 1254.9626, usercpu_time_millis: 91.17, usercpu_time_millis_testing: 4.548, usercpu_time_millis_training: 86.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.9261, kappa: 0.241, kb_relative_information_score: -643.9941, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9401, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8465, scimark_benchmark: 1226.8048, usercpu_time_millis: 106.087, usercpu_time_millis_testing: 5.581, usercpu_time_millis_training: 100.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.924, kappa: 0.2194, kb_relative_information_score: -573.9043, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7706, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.8451, scimark_benchmark: 1185.9094, usercpu_time_millis: 99.362, usercpu_time_millis_testing: 6.402, usercpu_time_millis_training: 92.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.9166, kappa: 0.1277, kb_relative_information_score: -658.8879, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.794, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.8602, scimark_benchmark: 1272.4007, usercpu_time_millis: 107.708, usercpu_time_millis_testing: 6.383, usercpu_time_millis_training: 101.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.9136, kappa: 0.0885, kb_relative_information_score: -761.6398, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9366, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.8693, scimark_benchmark: 1269.7001, usercpu_time_millis: 44.561, usercpu_time_millis_testing: 2.963, usercpu_time_millis_training: 41.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.927, kappa: 0.2661, kb_relative_information_score: -583.0984, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9302, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7602, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.8442, scimark_benchmark: 1259.0551, usercpu_time_millis: 29.332, usercpu_time_millis_testing: 1.494, usercpu_time_millis_training: 27.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.916, kappa: 0.1188, kb_relative_information_score: -642.9255, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8029, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8614, scimark_benchmark: 1253.8592, usercpu_time_millis: 60.137, usercpu_time_millis_testing: 4.84, usercpu_time_millis_training: 55.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1035.4333, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8681, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.906, scimark_benchmark: 1263.8186, usercpu_time_millis: 81.148, usercpu_time_millis_testing: 5.167, usercpu_time_millis_training: 75.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -974.1832, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9096, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8531, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.218, root_relative_squared_error: 0.8964, scimark_benchmark: 1268.53, usercpu_time_millis: 96.616, usercpu_time_millis_testing: 5.455, usercpu_time_millis_training: 91.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.9166, kappa: 0.1277, kb_relative_information_score: -706.1854, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8648, scimark_benchmark: 1264.115, usercpu_time_millis: 82.184, usercpu_time_millis_testing: 4.027, usercpu_time_millis_training: 78.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.9258, kappa: 0.2392, kb_relative_information_score: -658.9936, mean_absolute_error: 0.0934, 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: 0.7872, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8476, scimark_benchmark: 1260.9165, usercpu_time_millis: 81.705, usercpu_time_millis_testing: 4.403, usercpu_time_millis_training: 77.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.9063, kb_relative_information_score: -1009.4283, mean_absolute_error: 0.1119, 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: 0.9431, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.9573, scimark_benchmark: 1246.402, usercpu_time_millis: 30.09, usercpu_time_millis_testing: 2.825, usercpu_time_millis_training: 27.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -922.3555, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.8889, scimark_benchmark: 1267.1862, usercpu_time_millis: 111.099, usercpu_time_millis_testing: 5.254, usercpu_time_millis_training: 105.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.916, kappa: 0.1188, kb_relative_information_score: -689.0353, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8621, scimark_benchmark: 1245.1709, usercpu_time_millis: 69.993, usercpu_time_millis_testing: 5.243, usercpu_time_millis_training: 64.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.9267, kappa: 0.2565, kb_relative_information_score: -572.6869, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.933, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7669, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.8438, scimark_benchmark: 1257.6658, usercpu_time_millis: 74.318, usercpu_time_millis_testing: 3.724, usercpu_time_millis_training: 70.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.9063, kb_relative_information_score: -1213.8938, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.9255, scimark_benchmark: 1272.4891, usercpu_time_millis: 4.678, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 4.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -988.4249, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8606, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.9015, scimark_benchmark: 1270.134, usercpu_time_millis: 56.509, usercpu_time_millis_testing: 3.145, usercpu_time_millis_training: 53.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9063, kb_relative_information_score: 4.8585, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1268.1221, usercpu_time_millis: 12.809, usercpu_time_millis_testing: 1.563, usercpu_time_millis_training: 11.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.9211, kappa: 0.1838, kb_relative_information_score: -627.6151, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9333, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7894, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8501, scimark_benchmark: 1262.0552, usercpu_time_millis: 120.756, usercpu_time_millis_testing: 8.439, usercpu_time_millis_training: 112.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.9211, kappa: 0.1838, kb_relative_information_score: -598.2121, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9333, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8511, scimark_benchmark: 1255.4314, usercpu_time_millis: 50.262, usercpu_time_millis_testing: 3.877, usercpu_time_millis_training: 46.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.925, kappa: 0.2302, kb_relative_information_score: -669.5389, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9375, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7887, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.8548, scimark_benchmark: 1254.7408, usercpu_time_millis: 8.769, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 8.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -726.591, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9345, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8128, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.8632, scimark_benchmark: 1270.8867, usercpu_time_millis: 52.503, usercpu_time_millis_testing: 3.508, usercpu_time_millis_training: 48.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -725.9539, mean_absolute_error: 0.0986, 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: 0.8311, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.8786, scimark_benchmark: 1269.7485, usercpu_time_millis: 32.069, usercpu_time_millis_testing: 3.137, usercpu_time_millis_training: 28.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -889.2647, 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: 0.8471, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.8875, scimark_benchmark: 1264.4021, usercpu_time_millis: 6.151, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 5.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -1204.6837, mean_absolute_error: 0.1083, 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: 0.9129, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.9431, scimark_benchmark: 1259.9683, usercpu_time_millis: 2.649, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 2.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.9239, kappa: 0.2232, kb_relative_information_score: -709.1575, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9309, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.856, scimark_benchmark: 1258.8937, usercpu_time_millis: 8.87, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 8.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -775.5974, 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: 0.8379, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.8786, scimark_benchmark: 1257.87, usercpu_time_millis: 23.555, usercpu_time_millis_testing: 1.967, usercpu_time_millis_training: 21.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.9063, kb_relative_information_score: -1142.1559, 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: 0.9328, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.9503, scimark_benchmark: 1254.9112, usercpu_time_millis: 29.497, usercpu_time_millis_testing: 2.791, usercpu_time_millis_training: 26.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.9145, kappa: 0.0992, kb_relative_information_score: -737.5597, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9376, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.813, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.211, root_relative_squared_error: 0.8676, scimark_benchmark: 1258.1903, usercpu_time_millis: 9.923, usercpu_time_millis_testing: 0.617, usercpu_time_millis_training: 9.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 2.6006, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1257.6091, usercpu_time_millis: 20.807, usercpu_time_millis_testing: 2.124, usercpu_time_millis_training: 18.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -779.0116, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9296, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8216, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.8729, scimark_benchmark: 1274.9517, usercpu_time_millis: 34.155, usercpu_time_millis_testing: 2.151, usercpu_time_millis_training: 32.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -757.7122, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.872, scimark_benchmark: 1266.7616, usercpu_time_millis: 12.883, usercpu_time_millis_testing: 0.951, usercpu_time_millis_training: 11.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.9063, kb_relative_information_score: -1010.8481, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.932, scimark_benchmark: 1273.7674, usercpu_time_millis: 17.03, usercpu_time_millis_testing: 1.861, usercpu_time_millis_training: 15.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -675.2574, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.8546, scimark_benchmark: 1257.9793, usercpu_time_millis: 110.039, usercpu_time_millis_testing: 6.314, usercpu_time_millis_training: 103.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -660.3899, mean_absolute_error: 0.0949, 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: 0.8004, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8612, scimark_benchmark: 1255.5057, usercpu_time_millis: 52.946, usercpu_time_millis_testing: 3.808, usercpu_time_millis_training: 49.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.9219, kappa: 0.1932, kb_relative_information_score: -580.4947, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9342, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7797, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.8486, scimark_benchmark: 1269.1503, usercpu_time_millis: 100.45, usercpu_time_millis_testing: 6.915, usercpu_time_millis_training: 93.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.926, kappa: 0.2445, kb_relative_information_score: -560.2104, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7684, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.8469, scimark_benchmark: 1258.6515, usercpu_time_millis: 100.096, usercpu_time_millis_testing: 6.43, usercpu_time_millis_training: 93.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.9262, kappa: 0.2497, kb_relative_information_score: -622.0384, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7754, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.8443, scimark_benchmark: 1250.823, usercpu_time_millis: 33.611, usercpu_time_millis_testing: 1.422, usercpu_time_millis_training: 32.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.9063, kb_relative_information_score: -1111.6293, 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: 0.9086, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9348, scimark_benchmark: 1274.5371, usercpu_time_millis: 28.533, usercpu_time_millis_testing: 3.091, usercpu_time_millis_training: 25.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -670.2338, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8624, scimark_benchmark: 1262.3022, usercpu_time_millis: 8.281, usercpu_time_millis_testing: 0.723, usercpu_time_millis_training: 7.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -626.5515, mean_absolute_error: 0.0932, 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: 0.7855, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.8493, scimark_benchmark: 1264.0926, usercpu_time_millis: 57.708, usercpu_time_millis_testing: 3.044, usercpu_time_millis_training: 54.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.9261, kappa: 0.241, kb_relative_information_score: -638.9148, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9401, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.8496, scimark_benchmark: 1269.9147, usercpu_time_millis: 101.736, usercpu_time_millis_testing: 4.347, usercpu_time_millis_training: 97.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1031.1575, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8707, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.9084, scimark_benchmark: 1277.0222, usercpu_time_millis: 35.17, usercpu_time_millis_testing: 2.402, usercpu_time_millis_training: 32.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -787.8813, 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: 0.8414, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.882, scimark_benchmark: 1275.6318, usercpu_time_millis: 16.893, usercpu_time_millis_testing: 1.457, usercpu_time_millis_training: 15.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -684.8583, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9296, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8705, scimark_benchmark: 1275.3254, usercpu_time_millis: 74.644, usercpu_time_millis_testing: 6.344, usercpu_time_millis_training: 68.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.9172, kappa: 0.1364, kb_relative_information_score: -673.4101, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9304, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8578, scimark_benchmark: 1265.1007, usercpu_time_millis: 81.7, usercpu_time_millis_testing: 5.369, usercpu_time_millis_training: 76.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.9063, kb_relative_information_score: -1216.0206, 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: 0.9305, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.9521, scimark_benchmark: 1247.9788, usercpu_time_millis: 17.222, usercpu_time_millis_testing: 1.394, usercpu_time_millis_training: 15.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.916, kappa: 0.1188, kb_relative_information_score: -722.9481, mean_absolute_error: 0.0964, 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: 0.8128, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.8644, scimark_benchmark: 1257.2397, usercpu_time_millis: 66.936, usercpu_time_millis_testing: 4.374, usercpu_time_millis_training: 62.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -625.3017, mean_absolute_error: 0.094, 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: 0.7927, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8557, scimark_benchmark: 1264.5042, usercpu_time_millis: 82.361, usercpu_time_millis_testing: 5.155, usercpu_time_millis_training: 77.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.9157, kappa: 0.1175, kb_relative_information_score: -777.5396, mean_absolute_error: 0.0977, 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: 0.8237, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.8672, scimark_benchmark: 1263.5772, usercpu_time_millis: 56.422, usercpu_time_millis_testing: 3.969, usercpu_time_millis_training: 52.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -735.2119, mean_absolute_error: 0.0973, 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: 0.8205, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.8684, scimark_benchmark: 1275.6092, usercpu_time_millis: 34.887, usercpu_time_millis_testing: 2.889, usercpu_time_millis_training: 31.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 4.8667, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1274.8391, usercpu_time_millis: 17.255, usercpu_time_millis_testing: 2.297, usercpu_time_millis_training: 14.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -773.9322, mean_absolute_error: 0.0966, 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: 0.8142, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8706, scimark_benchmark: 1243.6734, usercpu_time_millis: 36.663, usercpu_time_millis_testing: 1.822, usercpu_time_millis_training: 34.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.9063, kb_relative_information_score: -1222.1337, mean_absolute_error: 0.1089, 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: 0.9185, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.9427, scimark_benchmark: 1246.4774, usercpu_time_millis: 47.819, usercpu_time_millis_testing: 3.947, usercpu_time_millis_training: 43.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -787.154, mean_absolute_error: 0.0966, 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: 0.8142, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8706, scimark_benchmark: 1262.5307, usercpu_time_millis: 105.734, usercpu_time_millis_testing: 4.623, usercpu_time_millis_training: 101.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.924, kappa: 0.2194, kb_relative_information_score: -589.7713, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7792, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.8478, scimark_benchmark: 1255.4642, usercpu_time_millis: 38.447, usercpu_time_millis_testing: 2.804, usercpu_time_millis_training: 35.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.9109, kappa: 0.0626, kb_relative_information_score: -1014.3289, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9141, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8291, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.9161, scimark_benchmark: 1268.503, usercpu_time_millis: 2.063, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 1.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -797.3273, mean_absolute_error: 0.0996, 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: 0.8397, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.8864, scimark_benchmark: 1266.4055, usercpu_time_millis: 56.783, usercpu_time_millis_testing: 5.093, usercpu_time_millis_training: 51.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.9258, kappa: 0.2392, kb_relative_information_score: -666.2205, mean_absolute_error: 0.094, 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: 0.7926, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8525, scimark_benchmark: 1275.4513, usercpu_time_millis: 53.504, usercpu_time_millis_testing: 3.092, usercpu_time_millis_training: 50.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.9063, kb_relative_information_score: -950.6728, 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: 0.9309, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.9517, scimark_benchmark: 1254.8782, usercpu_time_millis: 13.297, usercpu_time_millis_testing: 1.399, usercpu_time_millis_training: 11.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -885.0104, mean_absolute_error: 0.1009, 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: 0.8508, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.8918, scimark_benchmark: 1263.9465, usercpu_time_millis: 30.88, usercpu_time_millis_testing: 2.597, usercpu_time_millis_training: 28.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.9136, kappa: 0.0885, kb_relative_information_score: -747.4157, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9366, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8093, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.8659, scimark_benchmark: 1270.0993, usercpu_time_millis: 128.17, usercpu_time_millis_testing: 6.106, usercpu_time_millis_training: 122.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: -15.8058, 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: 0.998, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1255.7056, usercpu_time_millis: 7.027, usercpu_time_millis_testing: 0.917, usercpu_time_millis_training: 6.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -729.4373, mean_absolute_error: 0.0978, 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: 0.8248, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.212, root_relative_squared_error: 0.8717, scimark_benchmark: 1268.485, usercpu_time_millis: 43.55, usercpu_time_millis_testing: 3.806, usercpu_time_millis_training: 39.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1087.2079, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8792, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.9156, scimark_benchmark: 1252.2195, usercpu_time_millis: 77.585, usercpu_time_millis_testing: 3.673, usercpu_time_millis_training: 73.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.9063, kb_relative_information_score: -1150.3863, 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: 0.9196, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.9426, scimark_benchmark: 1260.618, usercpu_time_millis: 28.999, usercpu_time_millis_testing: 2.593, usercpu_time_millis_training: 26.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -795.9533, mean_absolute_error: 0.0979, 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: 0.8256, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.8748, scimark_benchmark: 1274.1247, usercpu_time_millis: 92.382, usercpu_time_millis_testing: 5.92, usercpu_time_millis_training: 86.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -695.624, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.8599, scimark_benchmark: 1251.9569, usercpu_time_millis: 67.21, usercpu_time_millis_testing: 3.562, usercpu_time_millis_training: 63.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -620.3559, mean_absolute_error: 0.0933, 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: 0.7862, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.208, root_relative_squared_error: 0.8553, scimark_benchmark: 1276.4509, usercpu_time_millis: 103.927, usercpu_time_millis_testing: 6.086, usercpu_time_millis_training: 97.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.9115, kappa: 0.0658, kb_relative_information_score: -752.506, mean_absolute_error: 0.0981, 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: 0.8274, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.8694, scimark_benchmark: 1275.6882, usercpu_time_millis: 63.663, usercpu_time_millis_testing: 5.106, usercpu_time_millis_training: 58.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.9063, kb_relative_information_score: -1094.6659, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8919, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.9196, scimark_benchmark: 1272.5542, usercpu_time_millis: 17.228, usercpu_time_millis_testing: 1.25, usercpu_time_millis_training: 15.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -685.0244, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.801, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8569, scimark_benchmark: 1255.5417, usercpu_time_millis: 72.382, usercpu_time_millis_testing: 4.474, usercpu_time_millis_training: 67.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -770.3422, mean_absolute_error: 0.0977, 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: 0.8236, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.875, scimark_benchmark: 1257.8449, usercpu_time_millis: 25.968, usercpu_time_millis_testing: 1.718, usercpu_time_millis_training: 24.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.9243, kappa: 0.2211, kb_relative_information_score: -566.9705, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9367, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7731, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.8477, scimark_benchmark: 1278.4975, usercpu_time_millis: 84.849, usercpu_time_millis_testing: 5.856, usercpu_time_millis_training: 78.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.9243, kappa: 0.2211, kb_relative_information_score: -622.5792, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9367, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7832, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8468, scimark_benchmark: 1246.2825, usercpu_time_millis: 113.616, usercpu_time_millis_testing: 6.125, usercpu_time_millis_training: 107.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9122, kappa: 0.0755, kb_relative_information_score: -674.0872, mean_absolute_error: 0.0962, 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: 0.8112, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.8656, scimark_benchmark: 1260.0192, usercpu_time_millis: 54.084, usercpu_time_millis_testing: 4.465, usercpu_time_millis_training: 49.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -792.8017, mean_absolute_error: 0.1002, 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: 0.8445, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.8862, scimark_benchmark: 1274.3069, usercpu_time_millis: 48.126, usercpu_time_millis_testing: 4.089, usercpu_time_millis_training: 44.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: -57.9492, mean_absolute_error: 0.118, 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: 0.995, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1281.2997, usercpu_time_millis: 2.117, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 1.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.9131, kappa: 0.0861, kb_relative_information_score: -716.421, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9263, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.799, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.8644, scimark_benchmark: 1277.0625, usercpu_time_millis: 10.683, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 10.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.9063, kb_relative_information_score: -1042.4351, mean_absolute_error: 0.1085, 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: 0.9149, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.9371, scimark_benchmark: 1276.8782, usercpu_time_millis: 22.161, usercpu_time_millis_testing: 2.572, usercpu_time_millis_training: 19.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.9269, kappa: 0.2583, kb_relative_information_score: -697.3922, mean_absolute_error: 0.0928, 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: 0.7821, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8543, scimark_benchmark: 1249.2811, usercpu_time_millis: 9.313, usercpu_time_millis_testing: 0.498, usercpu_time_millis_training: 8.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -1042.1714, mean_absolute_error: 0.1052, 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: 0.8865, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.9149, scimark_benchmark: 1251.7681, usercpu_time_millis: 46.99, usercpu_time_millis_testing: 3.977, usercpu_time_millis_training: 43.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1053.572, mean_absolute_error: 0.1031, 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: 0.8695, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.9082, scimark_benchmark: 1257.1035, usercpu_time_millis: 7.427, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 7.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.9063, kb_relative_information_score: -1120.2213, mean_absolute_error: 0.106, 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: 0.8934, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.9266, scimark_benchmark: 1275.2921, usercpu_time_millis: 15.562, usercpu_time_millis_testing: 1.266, usercpu_time_millis_training: 14.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -767.0602, mean_absolute_error: 0.0996, 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: 0.8398, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.8805, scimark_benchmark: 1249.9284, usercpu_time_millis: 43.201, usercpu_time_millis_testing: 4.088, usercpu_time_millis_training: 39.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9151, kappa: 0.1084, kb_relative_information_score: -724.5956, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9338, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8082, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.8642, scimark_benchmark: 1251.619, usercpu_time_millis: 70.477, usercpu_time_millis_testing: 4.107, usercpu_time_millis_training: 66.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.9257, kappa: 0.2427, kb_relative_information_score: -563.2433, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9341, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7688, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.8441, scimark_benchmark: 1275.5049, usercpu_time_millis: 98.053, usercpu_time_millis_testing: 6.484, usercpu_time_millis_training: 91.569,
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: 0.904, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -825.7673, mean_absolute_error: 0.0984, 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: 0.8298, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.8781, scimark_benchmark: 1257.0986, usercpu_time_millis: 74.802, usercpu_time_millis_testing: 5.053, usercpu_time_millis_training: 69.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -786.5021, mean_absolute_error: 0.0986, 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: 0.8313, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.8751, scimark_benchmark: 1258.947, usercpu_time_millis: 60.479, usercpu_time_millis_testing: 4.617, usercpu_time_millis_training: 55.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1140.8474, mean_absolute_error: 0.1051, 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: 0.8862, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.922, scimark_benchmark: 1264.7944, usercpu_time_millis: 60.465, usercpu_time_millis_testing: 3.799, usercpu_time_millis_training: 56.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.9172, kappa: 0.1364, kb_relative_information_score: -641.3146, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9304, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8013, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8583, scimark_benchmark: 1246.223, usercpu_time_millis: 78.7, usercpu_time_millis_testing: 5.604, usercpu_time_millis_training: 73.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.9063, kb_relative_information_score: -977.1987, mean_absolute_error: 0.1047, 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: 0.8828, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.9153, scimark_benchmark: 1245.3537, usercpu_time_millis: 23.647, usercpu_time_millis_testing: 2.455, usercpu_time_millis_training: 21.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -710.6436, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8615, scimark_benchmark: 1248.8547, usercpu_time_millis: 86.029, usercpu_time_millis_testing: 4.337, usercpu_time_millis_training: 81.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.9111, kappa: 0.057, kb_relative_information_score: -708.0417, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9426, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8202, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.213, root_relative_squared_error: 0.8757, scimark_benchmark: 1271.1766, usercpu_time_millis: 11.365, usercpu_time_millis_testing: 1.218, usercpu_time_millis_training: 10.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.924, kappa: 0.2194, kb_relative_information_score: -586.6107, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7753, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.85, scimark_benchmark: 1256.7835, usercpu_time_millis: 58.023, usercpu_time_millis_testing: 3.301, usercpu_time_millis_training: 54.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -758.1685, mean_absolute_error: 0.0968, 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: 0.8158, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.212, root_relative_squared_error: 0.8718, scimark_benchmark: 1277.6245, usercpu_time_millis: 54.508, usercpu_time_millis_testing: 3.285, usercpu_time_millis_training: 51.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -702.7233, mean_absolute_error: 0.0983, 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: 0.8283, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.8777, scimark_benchmark: 1266.4769, usercpu_time_millis: 61.508, usercpu_time_millis_testing: 5.805, usercpu_time_millis_training: 55.703,

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