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: 0.901, f_measure: 0.9216, kappa: 0.1916, kb_relative_information_score: -856.4997, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9322, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.8651, scimark_benchmark: 2124.4723, usercpu_time_millis: 30.23, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 29.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.926, kappa: 0.2445, kb_relative_information_score: -625.7699, mean_absolute_error: 0.0922, 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: 0.7775, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.8488, scimark_benchmark: 1730.678, usercpu_time_millis: 18.882, usercpu_time_millis_testing: 0.714, usercpu_time_millis_training: 18.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.9244, kappa: 0.2579, kb_relative_information_score: -947.7373, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9212, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.9055, scimark_benchmark: 1841.4002, usercpu_time_millis: 1.445, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 1.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9063, kb_relative_information_score: 3.3597, 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: 0.9975, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1729.728, usercpu_time_millis: 3.4, usercpu_time_millis_testing: 0.518, usercpu_time_millis_training: 2.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.9242, kappa: 0.225, kb_relative_information_score: -873.2788, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9324, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.8039, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.8605, scimark_benchmark: 1735.1328, usercpu_time_millis: 6.165, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 6.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.9063, kb_relative_information_score: -1013.9133, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8842, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.916, scimark_benchmark: 1701.2256, usercpu_time_millis: 1.566, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 1.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: 4.9254, 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: 1730.7262, usercpu_time_millis: 3.977, usercpu_time_millis_testing: 0.683, usercpu_time_millis_training: 3.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9063, kb_relative_information_score: 2.8497, 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: 0.997, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1746.0599, usercpu_time_millis: 1.784, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.9239, kappa: 0.227, kb_relative_information_score: -802.2665, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9279, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8587, scimark_benchmark: 1720.4369, usercpu_time_millis: 89.502, usercpu_time_millis_testing: 0.699, usercpu_time_millis_training: 88.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.9263, kappa: 0.2577, kb_relative_information_score: -697.1748, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9293, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7717, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8582, scimark_benchmark: 1760.6043, usercpu_time_millis: 62.133, usercpu_time_millis_testing: 0.829, usercpu_time_millis_training: 61.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.9063, kb_relative_information_score: -1658.3668, mean_absolute_error: 0.1098, 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: 0.9257, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.9567, scimark_benchmark: 1724.0233, usercpu_time_millis: 42.666, usercpu_time_millis_testing: 1.051, usercpu_time_millis_training: 41.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -1147.1514, mean_absolute_error: 0.1029, 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: 0.868, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.8986, scimark_benchmark: 1717.2842, usercpu_time_millis: 30.337, usercpu_time_millis_testing: 0.603, usercpu_time_millis_training: 29.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 3.7629, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1731.9625, usercpu_time_millis: 4.188, usercpu_time_millis_testing: 0.676, usercpu_time_millis_training: 3.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 5.2634, 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: 0.9961, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1733.3606, usercpu_time_millis: 2.476, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 2.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.9063, kb_relative_information_score: -1280.6217, 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: 0.9237, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.9529, scimark_benchmark: 1730.1287, usercpu_time_millis: 4.391, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 4.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9063, kb_relative_information_score: 1.0577, 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: 0.9963, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1735.1328, usercpu_time_millis: 1.276, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 1.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.9088, kappa: 0.0327, kb_relative_information_score: -1143.9926, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9166, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8579, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.9064, scimark_benchmark: 1720.5635, usercpu_time_millis: 0.943, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.9236, kappa: 0.2253, kb_relative_information_score: -797.4883, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9268, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.788, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8558, scimark_benchmark: 1757.4931, usercpu_time_millis: 90.368, usercpu_time_millis_testing: 0.963, usercpu_time_millis_training: 89.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.9285, kappa: 0.2935, kb_relative_information_score: -717.996, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9283, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.859, scimark_benchmark: 2137.389, usercpu_time_millis: 104.073, usercpu_time_millis_testing: 1.076, usercpu_time_millis_training: 102.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.9257, kappa: 0.2427, kb_relative_information_score: -572.4047, mean_absolute_error: 0.0911, 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: 0.7682, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.8451, scimark_benchmark: 1743.496, usercpu_time_millis: 24.495, usercpu_time_millis_testing: 1.442, usercpu_time_millis_training: 23.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.925, kappa: 0.2339, kb_relative_information_score: -822.4582, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9333, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8576, scimark_benchmark: 1782.2927, usercpu_time_millis: 91.633, usercpu_time_millis_testing: 0.854, usercpu_time_millis_training: 90.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.9275, kappa: 0.277, kb_relative_information_score: -744.1888, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.929, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7702, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8595, scimark_benchmark: 1796.754, usercpu_time_millis: 90.866, usercpu_time_millis_testing: 0.766, usercpu_time_millis_training: 90.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -781.0609, mean_absolute_error: 0.099, 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: 0.8344, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.8744, scimark_benchmark: 1723.1716, usercpu_time_millis: 9.914, usercpu_time_millis_testing: 1.102, usercpu_time_millis_training: 8.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.9063, kb_relative_information_score: -1106.9385, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9246, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.9452, scimark_benchmark: 1727.847, usercpu_time_millis: 6.782, usercpu_time_millis_testing: 0.661, usercpu_time_millis_training: 6.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.9063, kb_relative_information_score: -962.5723, mean_absolute_error: 0.1061, 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: 0.8941, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.224, root_relative_squared_error: 0.921, scimark_benchmark: 1743.7872, usercpu_time_millis: 5.338, usercpu_time_millis_testing: 0.587, usercpu_time_millis_training: 4.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.9208, kappa: 0.1822, kb_relative_information_score: -891.8926, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9312, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.8204, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.8679, scimark_benchmark: 1843.2356, usercpu_time_millis: 82.321, usercpu_time_millis_testing: 1.049, usercpu_time_millis_training: 81.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.9063, kb_relative_information_score: -1117.036, mean_absolute_error: 0.1122, 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: 0.946, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.9615, scimark_benchmark: 1745.2747, usercpu_time_millis: 3.755, usercpu_time_millis_testing: 0.607, usercpu_time_millis_training: 3.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -808.0384, mean_absolute_error: 0.0998, 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: 0.8415, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.8809, scimark_benchmark: 1753.0801, usercpu_time_millis: 1.74, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 1.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.9063, kb_relative_information_score: -963.1278, 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: 0.883, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.9142, scimark_benchmark: 1722.0074, usercpu_time_millis: 1.772, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 1.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.9063, kb_relative_information_score: -1189.5944, 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: 0.9273, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.9481, scimark_benchmark: 1720.4338, usercpu_time_millis: 2.021, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 1.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9063, kb_relative_information_score: -12.5878, mean_absolute_error: 0.1181, 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: 0.9954, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1750.6604, usercpu_time_millis: 0.885, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: -25.7875, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1748.7605, usercpu_time_millis: 1.031, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.9211, kappa: 0.1884, kb_relative_information_score: -769.5238, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9286, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.8684, scimark_benchmark: 1783.4997, usercpu_time_millis: 75.175, usercpu_time_millis_testing: 0.756, usercpu_time_millis_training: 74.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.9063, kb_relative_information_score: -1576.2211, mean_absolute_error: 0.1093, 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: 0.9214, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.951, scimark_benchmark: 1794.297, usercpu_time_millis: 62.035, usercpu_time_millis_testing: 0.779, usercpu_time_millis_training: 61.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -786.4917, mean_absolute_error: 0.0948, 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: 0.799, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8581, scimark_benchmark: 1838.1471, usercpu_time_millis: 59.741, usercpu_time_millis_testing: 1.126, usercpu_time_millis_training: 58.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.9091, kappa: 0.0409, kb_relative_information_score: -972.9523, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.907, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8202, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.218, root_relative_squared_error: 0.8965, scimark_benchmark: 2139.0645, usercpu_time_millis: 59.639, usercpu_time_millis_testing: 0.495, usercpu_time_millis_training: 59.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.924, kappa: 0.2194, kb_relative_information_score: -764.3785, mean_absolute_error: 0.0946, 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: 0.7975, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.8602, scimark_benchmark: 1846.6923, usercpu_time_millis: 55.851, usercpu_time_millis_testing: 1.016, usercpu_time_millis_training: 54.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.9063, kb_relative_information_score: -1722.4494, 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: 0.927, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.959, scimark_benchmark: 1829.5294, usercpu_time_millis: 49.892, usercpu_time_millis_testing: 0.862, usercpu_time_millis_training: 49.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.9278, kappa: 0.2716, kb_relative_information_score: -754.4717, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9334, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7846, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8527, scimark_benchmark: 1848.8462, usercpu_time_millis: 47.396, usercpu_time_millis_testing: 0.634, usercpu_time_millis_training: 46.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -769.5323, mean_absolute_error: 0.0951, 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: 0.8018, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8646, scimark_benchmark: 1777.2842, usercpu_time_millis: 39.267, usercpu_time_millis_testing: 0.932, usercpu_time_millis_training: 38.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -643.2293, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9387, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7888, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8511, scimark_benchmark: 1782.0296, usercpu_time_millis: 20.058, usercpu_time_millis_testing: 1.219, usercpu_time_millis_training: 18.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.9281, kappa: 0.2807, kb_relative_information_score: -588.6214, mean_absolute_error: 0.09, 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: 0.7591, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.8439, scimark_benchmark: 1757.965, usercpu_time_millis: 19.98, usercpu_time_millis_testing: 0.883, usercpu_time_millis_training: 19.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.9264, kappa: 0.2547, kb_relative_information_score: -664.4366, mean_absolute_error: 0.0919, 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: 0.7752, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.8495, scimark_benchmark: 1849.2344, usercpu_time_millis: 34.618, usercpu_time_millis_testing: 0.932, usercpu_time_millis_training: 33.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -925.7793, mean_absolute_error: 0.1012, 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: 0.8533, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.894, scimark_benchmark: 1738.302, usercpu_time_millis: 11.966, usercpu_time_millis_testing: 0.964, usercpu_time_millis_training: 11.002,
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: 0.881, f_measure: 0.9063, kb_relative_information_score: -1060.9976, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8964, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.225, root_relative_squared_error: 0.925, scimark_benchmark: 1741.3825, usercpu_time_millis: 9.193, usercpu_time_millis_testing: 0.929, usercpu_time_millis_training: 8.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.9063, kb_relative_information_score: -1023.8552, mean_absolute_error: 0.1052, 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: 0.8871, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.9177, scimark_benchmark: 1798.5213, usercpu_time_millis: 8.516, usercpu_time_millis_testing: 0.927, usercpu_time_millis_training: 7.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.9164, kappa: 0.1263, kb_relative_information_score: -709.4984, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9291, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.862, scimark_benchmark: 1741.3825, usercpu_time_millis: 6.818, usercpu_time_millis_testing: 0.705, usercpu_time_millis_training: 6.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.9063, kb_relative_information_score: -1237.6171, mean_absolute_error: 0.1083, 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: 0.9134, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.9398, scimark_benchmark: 1740.468, usercpu_time_millis: 8.111, usercpu_time_millis_testing: 0.643, usercpu_time_millis_training: 7.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -920.1996, mean_absolute_error: 0.1008, 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: 0.8501, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.8939, scimark_benchmark: 1784.8859, usercpu_time_millis: 7.186, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 6.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -808.4137, mean_absolute_error: 0.0968, 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: 0.816, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.8631, scimark_benchmark: 1850.2875, usercpu_time_millis: 19.666, usercpu_time_millis_testing: 0.789, usercpu_time_millis_training: 18.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.9063, kb_relative_information_score: -1153.1635, mean_absolute_error: 0.1115, 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: 0.9399, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.9563, scimark_benchmark: 1745.0687, usercpu_time_millis: 4.35, usercpu_time_millis_testing: 0.561, usercpu_time_millis_training: 3.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.9166, kappa: 0.1277, kb_relative_information_score: -1009.8759, mean_absolute_error: 0.1005, 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: 0.8472, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.8831, scimark_benchmark: 1790.9159, usercpu_time_millis: 18.313, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 17.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.9186, kappa: 0.1493, kb_relative_information_score: -651.0389, mean_absolute_error: 0.0945, 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: 0.7964, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8596, scimark_benchmark: 1778.655, usercpu_time_millis: 6.536, usercpu_time_millis_testing: 0.532, usercpu_time_millis_training: 6.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.9063, kb_relative_information_score: -928.9381, mean_absolute_error: 0.1034, 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: 0.8714, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.9066, scimark_benchmark: 1734.8627, usercpu_time_millis: 2.81, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 2.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.9063, kb_relative_information_score: -765.2314, mean_absolute_error: 0.114, 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: 0.9611, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.9695, scimark_benchmark: 1742.319, usercpu_time_millis: 2.226, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 1.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.9063, kb_relative_information_score: 4.1611, 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: 0.9969, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1755.0331, usercpu_time_millis: 3.5, usercpu_time_millis_testing: 0.542, usercpu_time_millis_training: 2.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.9092, kappa: 0.0346, kb_relative_information_score: -824.2376, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9419, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8356, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.214, root_relative_squared_error: 0.8798, scimark_benchmark: 1738.6549, usercpu_time_millis: 1.471, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 1.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.9063, kb_relative_information_score: 4.1051, 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: 0.997, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1746.0299, usercpu_time_millis: 2.284, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 1.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -668.6957, mean_absolute_error: 0.0946, 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: 0.7973, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8571, scimark_benchmark: 1808.5946, usercpu_time_millis: 6.993, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 6.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.9063, kb_relative_information_score: 3.7935, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1778.6132, usercpu_time_millis: 4.141, usercpu_time_millis_testing: 0.725, usercpu_time_millis_training: 3.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.9063, kb_relative_information_score: 4.2603, 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: 0.9969, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1775.1535, usercpu_time_millis: 2.773, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 2.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.9063, kb_relative_information_score: -1269.828, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9252, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.9483, scimark_benchmark: 1818.6105, usercpu_time_millis: 6.03, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 5.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1077.7497, 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: 0.871, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.9117, scimark_benchmark: 1775.564, usercpu_time_millis: 2.259, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 1.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -1189.9691, mean_absolute_error: 0.1045, 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: 0.8813, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.222, root_relative_squared_error: 0.9126, scimark_benchmark: 2117.4228, usercpu_time_millis: 13.198, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 12.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1752.7725, mean_absolute_error: 0.1099, 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: 0.9263, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.9602, scimark_benchmark: 1788.2079, usercpu_time_millis: 16.13, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 15.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -988.8091, mean_absolute_error: 0.1022, 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: 0.8616, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.9007, scimark_benchmark: 1778.1265, usercpu_time_millis: 9.356, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 8.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.9063, kb_relative_information_score: -1181.4114, mean_absolute_error: 0.1107, 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: 0.9329, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.232, root_relative_squared_error: 0.954, scimark_benchmark: 1850.2875, usercpu_time_millis: 6.674, usercpu_time_millis_testing: 0.675, usercpu_time_millis_training: 5.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1046.0299, mean_absolute_error: 0.1013, 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: 0.8537, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.8969, scimark_benchmark: 1763.7654, usercpu_time_millis: 6.163, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 5.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.9063, kb_relative_information_score: -1061.0483, mean_absolute_error: 0.1107, 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: 0.9331, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.9572, scimark_benchmark: 1839.6694, usercpu_time_millis: 5.18, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 4.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.9191, kappa: 0.1578, kb_relative_information_score: -865.4366, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9355, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.82, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.8681, scimark_benchmark: 1847.8034, usercpu_time_millis: 5.221, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 5.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.9063, kb_relative_information_score: -1166.2508, 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: 0.8764, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.222, root_relative_squared_error: 0.9127, scimark_benchmark: 1846.6923, usercpu_time_millis: 5.579, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 5.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.9063, kb_relative_information_score: -1170.7873, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.9267, scimark_benchmark: 2142.4929, usercpu_time_millis: 3.72, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 3.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: 4.1706, 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: 0.9969, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1850.2875, usercpu_time_millis: 2.803, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 2.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.9063, kb_relative_information_score: -1091.9552, 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: 0.9202, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.9451, scimark_benchmark: 1793.2334, usercpu_time_millis: 3.991, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 3.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.912, kappa: 0.068, kb_relative_information_score: -1001.3464, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9429, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8462, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.8864, scimark_benchmark: 1802.6843, usercpu_time_millis: 1.27, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 1.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.9104, kappa: 0.0538, kb_relative_information_score: -1289.0633, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9188, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8623, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.9188, scimark_benchmark: 1798.8366, usercpu_time_millis: 0.901, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.9136, kappa: 0.0885, kb_relative_information_score: -897.5656, mean_absolute_error: 0.0967, 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: 0.8151, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.8832, scimark_benchmark: 1796.192, usercpu_time_millis: 98.57, usercpu_time_millis_testing: 1.12, usercpu_time_millis_training: 97.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.9263, kappa: 0.2577, kb_relative_information_score: -731.588, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9293, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8667, scimark_benchmark: 1826.3384, usercpu_time_millis: 87.044, usercpu_time_millis_testing: 1.272, usercpu_time_millis_training: 85.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.9235, kappa: 0.2119, kb_relative_information_score: -851.7498, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9359, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.809, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.8693, scimark_benchmark: 1815.6217, usercpu_time_millis: 77.253, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 76.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.9063, kb_relative_information_score: -1550.7554, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9174, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9472, scimark_benchmark: 1799.5915, usercpu_time_millis: 56.375, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 55.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.9224, kappa: 0.2009, kb_relative_information_score: -804.0915, mean_absolute_error: 0.0955, 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: 0.8051, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.863, scimark_benchmark: 1816.4916, usercpu_time_millis: 49.976, usercpu_time_millis_testing: 0.868, usercpu_time_millis_training: 49.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -879.9176, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9354, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.8752, scimark_benchmark: 1819.6338, usercpu_time_millis: 50.544, usercpu_time_millis_testing: 0.992, usercpu_time_millis_training: 49.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.9232, kappa: 0.2102, kb_relative_information_score: -673.3255, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.934, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.79, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8578, scimark_benchmark: 1829.876, usercpu_time_millis: 26.685, usercpu_time_millis_testing: 0.964, usercpu_time_millis_training: 25.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.9063, kb_relative_information_score: -1195.687, mean_absolute_error: 0.109, 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: 0.9188, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.9461, scimark_benchmark: 1819.4647, usercpu_time_millis: 12.267, usercpu_time_millis_testing: 0.667, usercpu_time_millis_training: 11.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -771.3913, mean_absolute_error: 0.0957, 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: 0.8072, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.8726, scimark_benchmark: 1815.6217, usercpu_time_millis: 8.786, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 8.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -1245.6785, mean_absolute_error: 0.1052, 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: 0.8865, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.9139, scimark_benchmark: 1813.1487, usercpu_time_millis: 8.375, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 8.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.9294, kappa: 0.2926, kb_relative_information_score: -791.7834, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9336, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8647, scimark_benchmark: 1826.3384, usercpu_time_millis: 6.352, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 6.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.9063, kb_relative_information_score: -1160.1143, mean_absolute_error: 0.1112, 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: 0.9376, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.9546, scimark_benchmark: 1829.876, usercpu_time_millis: 2.935, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 2.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.9063, kb_relative_information_score: -1503.5038, 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: 0.9199, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.9482, scimark_benchmark: 1723.9607, usercpu_time_millis: 53.372, usercpu_time_millis_testing: 0.839, usercpu_time_millis_training: 52.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.9298, kappa: 0.2987, kb_relative_information_score: -748.1401, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9334, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8544, scimark_benchmark: 1819.6012, usercpu_time_millis: 72.642, usercpu_time_millis_testing: 0.731, usercpu_time_millis_training: 71.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -624.6712, 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: 0.7907, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8513, scimark_benchmark: 1812.533, usercpu_time_millis: 18.302, usercpu_time_millis_testing: 1.267, usercpu_time_millis_training: 17.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.9113, kappa: 0.0647, kb_relative_information_score: -892.6579, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9218, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8111, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.8871, scimark_benchmark: 1833.2814, usercpu_time_millis: 81.454, usercpu_time_millis_testing: 1.105, usercpu_time_millis_training: 80.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.9063, kb_relative_information_score: -1264.0579, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.9188, scimark_benchmark: 1815.6766, usercpu_time_millis: 52.119, usercpu_time_millis_testing: 0.696, usercpu_time_millis_training: 51.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -912.2247, mean_absolute_error: 0.0987, 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: 0.8325, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.8721, scimark_benchmark: 1802.5748, usercpu_time_millis: 22.09, usercpu_time_millis_testing: 0.858, usercpu_time_millis_training: 21.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -989.9527, mean_absolute_error: 0.0989, 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: 0.8339, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.218, root_relative_squared_error: 0.8964, scimark_benchmark: 1814.3873, usercpu_time_millis: 58.34, usercpu_time_millis_testing: 0.887, usercpu_time_millis_training: 57.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.9256, kappa: 0.2461, kb_relative_information_score: -652.5273, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7793, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.8459, scimark_benchmark: 1804.94, usercpu_time_millis: 38.704, usercpu_time_millis_testing: 1.283, usercpu_time_millis_training: 37.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.9252, kappa: 0.2392, kb_relative_information_score: -745.0843, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9313, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7854, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.858, scimark_benchmark: 1822.5995, usercpu_time_millis: 25.988, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 25.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1177.589, mean_absolute_error: 0.1027, 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: 0.8655, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.9148, scimark_benchmark: 1812.9787, usercpu_time_millis: 80.852, usercpu_time_millis_testing: 1.002, usercpu_time_millis_training: 79.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.9222, kappa: 0.1993, kb_relative_information_score: -705.3057, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9313, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.862, scimark_benchmark: 1821.784, usercpu_time_millis: 52.002, usercpu_time_millis_testing: 1.146, usercpu_time_millis_training: 50.856,

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