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: 0.8969, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -868.8363, mean_absolute_error: 0.1018, 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: 0.858, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.8939, scimark_benchmark: 1255.3721, usercpu_time_millis: 39.873, usercpu_time_millis_testing: 3.883, usercpu_time_millis_training: 35.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -833.683, mean_absolute_error: 0.1013, 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: 0.8543, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.8918, scimark_benchmark: 1273.7365, usercpu_time_millis: 39.141, usercpu_time_millis_testing: 3.276, usercpu_time_millis_training: 35.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1111.001, mean_absolute_error: 0.1039, 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: 0.876, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.9162, scimark_benchmark: 1251.1043, usercpu_time_millis: 25.695, usercpu_time_millis_testing: 1.355, usercpu_time_millis_training: 24.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.9063, kb_relative_information_score: -1019.4244, mean_absolute_error: 0.104, 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: 0.8771, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.9121, scimark_benchmark: 1275.3918, usercpu_time_millis: 36.137, usercpu_time_millis_testing: 2.998, usercpu_time_millis_training: 33.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.9164, kappa: 0.1263, kb_relative_information_score: -710.1478, mean_absolute_error: 0.0956, 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: 0.8056, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.8607, scimark_benchmark: 1262.0093, usercpu_time_millis: 20.162, usercpu_time_millis_testing: 1.255, usercpu_time_millis_training: 18.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -680.879, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9337, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.8036, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.8625, scimark_benchmark: 1262.7209, usercpu_time_millis: 17.202, usercpu_time_millis_testing: 1.18, usercpu_time_millis_training: 16.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.9219, kappa: 0.1932, kb_relative_information_score: -666.3432, mean_absolute_error: 0.0943, 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: 0.7951, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.208, root_relative_squared_error: 0.8553, scimark_benchmark: 1271.5629, usercpu_time_millis: 11.64, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 10.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -681.2865, mean_absolute_error: 0.0948, 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: 0.7989, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.21, root_relative_squared_error: 0.8633, scimark_benchmark: 1251.7577, usercpu_time_millis: 98.251, usercpu_time_millis_testing: 5.288, usercpu_time_millis_training: 92.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -616.6941, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7817, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.8458, scimark_benchmark: 1249.2403, usercpu_time_millis: 143.602, usercpu_time_millis_testing: 6.773, usercpu_time_millis_training: 136.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -723.5231, mean_absolute_error: 0.0971, 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: 0.8185, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8732, scimark_benchmark: 1258.3065, usercpu_time_millis: 47.226, usercpu_time_millis_testing: 3.651, usercpu_time_millis_training: 43.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.9063, kb_relative_information_score: -1010.1721, mean_absolute_error: 0.1101, 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: 0.9283, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.9464, scimark_benchmark: 1263.9279, usercpu_time_millis: 35.798, usercpu_time_millis_testing: 3.939, usercpu_time_millis_training: 31.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -644.3543, mean_absolute_error: 0.0959, 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: 0.8087, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.8673, scimark_benchmark: 1272.8444, usercpu_time_millis: 60.316, usercpu_time_millis_testing: 5.399, usercpu_time_millis_training: 54.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.9063, kb_relative_information_score: -1282.6775, 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: 0.9337, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.232, root_relative_squared_error: 0.9537, scimark_benchmark: 1250.6887, usercpu_time_millis: 39.594, usercpu_time_millis_testing: 3.323, usercpu_time_millis_training: 36.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.9189, kappa: 0.1563, kb_relative_information_score: -676.9544, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9327, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8568, scimark_benchmark: 1263.6027, usercpu_time_millis: 93.756, usercpu_time_millis_testing: 5.973, usercpu_time_millis_training: 87.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -714.0956, mean_absolute_error: 0.0951, 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: 0.802, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8611, scimark_benchmark: 1277.22, usercpu_time_millis: 51.63, usercpu_time_millis_testing: 2.863, usercpu_time_millis_training: 48.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.9208, kappa: 0.1822, kb_relative_information_score: -631.7998, mean_absolute_error: 0.0937, 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: 0.7899, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8539, scimark_benchmark: 1253.493, usercpu_time_millis: 18.509, usercpu_time_millis_testing: 1.181, usercpu_time_millis_training: 17.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -763.7956, mean_absolute_error: 0.1006, 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: 0.848, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.216, root_relative_squared_error: 0.8883, scimark_benchmark: 1264.0463, usercpu_time_millis: 49.614, usercpu_time_millis_testing: 4.755, usercpu_time_millis_training: 44.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -835.1224, mean_absolute_error: 0.1002, 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: 0.8447, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.8861, scimark_benchmark: 1248.2834, usercpu_time_millis: 48.902, usercpu_time_millis_testing: 4.67, usercpu_time_millis_training: 44.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1087.7256, 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: 0.8797, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.9153, scimark_benchmark: 1271.9548, usercpu_time_millis: 40.173, usercpu_time_millis_testing: 2.393, usercpu_time_millis_training: 37.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -631.1497, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.8455, scimark_benchmark: 1269.2321, usercpu_time_millis: 130.936, usercpu_time_millis_testing: 6.811, usercpu_time_millis_training: 124.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.914, kappa: 0.0967, kb_relative_information_score: -718.3895, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9281, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8667, scimark_benchmark: 1252.607, usercpu_time_millis: 32.45, usercpu_time_millis_testing: 2.864, usercpu_time_millis_training: 29.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -898.1514, 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: 0.8531, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.8929, scimark_benchmark: 1263.7685, usercpu_time_millis: 56.309, usercpu_time_millis_testing: 4.495, usercpu_time_millis_training: 51.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -970.4731, mean_absolute_error: 0.1001, 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: 0.8438, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.8948, scimark_benchmark: 1242.365, usercpu_time_millis: 114.827, usercpu_time_millis_testing: 5.388, usercpu_time_millis_training: 109.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.9131, kappa: 0.0861, kb_relative_information_score: -745.9376, mean_absolute_error: 0.0973, 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: 0.8203, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.867, scimark_benchmark: 1256.9451, usercpu_time_millis: 45.355, usercpu_time_millis_testing: 3.301, usercpu_time_millis_training: 42.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -1019.4669, mean_absolute_error: 0.1041, 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: 0.8777, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9087, scimark_benchmark: 1242.9473, usercpu_time_millis: 41.863, usercpu_time_millis_testing: 3.37, usercpu_time_millis_training: 38.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.9063, kb_relative_information_score: -1220.1663, 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: 0.8984, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.9307, scimark_benchmark: 1268.082, usercpu_time_millis: 64.777, usercpu_time_millis_testing: 3.258, usercpu_time_millis_training: 61.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.9208, kappa: 0.1773, kb_relative_information_score: -677.7379, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.8617, scimark_benchmark: 1252.0094, usercpu_time_millis: 144.046, usercpu_time_millis_testing: 6.479, usercpu_time_millis_training: 137.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -741.9779, mean_absolute_error: 0.0992, 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: 0.836, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.216, root_relative_squared_error: 0.8879, scimark_benchmark: 1263.1876, usercpu_time_millis: 10.626, usercpu_time_millis_testing: 1.009, usercpu_time_millis_training: 9.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -779.5454, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.215, root_relative_squared_error: 0.884, scimark_benchmark: 1259.1676, usercpu_time_millis: 62.259, usercpu_time_millis_testing: 5.455, usercpu_time_millis_training: 56.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -600.9233, mean_absolute_error: 0.0928, 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: 0.7825, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8528, scimark_benchmark: 1268.7113, usercpu_time_millis: 49.448, usercpu_time_millis_testing: 3.193, usercpu_time_millis_training: 46.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.9063, kb_relative_information_score: -1252.4494, 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: 0.9195, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.9442, scimark_benchmark: 1247.6761, usercpu_time_millis: 11.437, usercpu_time_millis_testing: 0.947, usercpu_time_millis_training: 10.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -831.6729, mean_absolute_error: 0.0985, 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: 0.8307, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.8749, scimark_benchmark: 1251.5605, usercpu_time_millis: 4.052, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 3.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.9063, kb_relative_information_score: -971.0361, 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: 0.8962, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.9231, scimark_benchmark: 1251.0206, usercpu_time_millis: 44.582, usercpu_time_millis_testing: 4.262, usercpu_time_millis_training: 40.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.9142, kappa: 0.0979, kb_relative_information_score: -605.31, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9324, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.861, scimark_benchmark: 1261.9674, usercpu_time_millis: 110.955, usercpu_time_millis_testing: 10.06, usercpu_time_millis_training: 100.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.9178, kappa: 0.145, kb_relative_information_score: -713.664, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.929, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.7921, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.8657, scimark_benchmark: 1276.5356, usercpu_time_millis: 166.241, usercpu_time_millis_testing: 7.395, usercpu_time_millis_training: 158.846,
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: 0.9128, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -621.0002, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.786, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8541, scimark_benchmark: 1254.4016, usercpu_time_millis: 83.445, usercpu_time_millis_testing: 4.63, usercpu_time_millis_training: 78.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -791.3722, mean_absolute_error: 0.0967, 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: 0.815, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8704, scimark_benchmark: 1269.8742, usercpu_time_millis: 155.231, usercpu_time_millis_testing: 6.331, usercpu_time_millis_training: 148.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9232, kappa: 0.2102, kb_relative_information_score: -632.9687, mean_absolute_error: 0.0932, 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: 0.7857, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.8484, scimark_benchmark: 1251.8778, usercpu_time_millis: 144.928, usercpu_time_millis_testing: 7.827, usercpu_time_millis_training: 137.101,
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: 0.8988, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -869.8185, 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: 0.8417, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.8846, scimark_benchmark: 1261.5908, usercpu_time_millis: 62.483, usercpu_time_millis_testing: 4.228, usercpu_time_millis_training: 58.255,
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: 0.9116, f_measure: 0.9194, kappa: 0.1593, kb_relative_information_score: -691.9069, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9386, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8023, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.8599, scimark_benchmark: 1266.0059, usercpu_time_millis: 53.291, usercpu_time_millis_testing: 3.008, usercpu_time_millis_training: 50.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.9063, kb_relative_information_score: -1125.4418, mean_absolute_error: 0.107, 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: 0.902, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.9307, scimark_benchmark: 1247.5583, usercpu_time_millis: 46.199, usercpu_time_millis_testing: 4.138, usercpu_time_millis_training: 42.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -748.6967, mean_absolute_error: 0.096, 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: 0.8096, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.8699, scimark_benchmark: 1247.1622, usercpu_time_millis: 28.681, usercpu_time_millis_testing: 1.551, usercpu_time_millis_training: 27.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.9224, kappa: 0.2009, kb_relative_information_score: -611.3697, mean_absolute_error: 0.0927, 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: 0.7816, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.8529, scimark_benchmark: 1249.4639, usercpu_time_millis: 12.459, usercpu_time_millis_testing: 0.651, usercpu_time_millis_training: 11.808,
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: 0.904, 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: 0.9135, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -674.309, mean_absolute_error: 0.097, 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: 0.8179, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.8697, scimark_benchmark: 1264.9128, usercpu_time_millis: 101.046, usercpu_time_millis_testing: 8.729, usercpu_time_millis_training: 92.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -648.796, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.938, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7914, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.8506, scimark_benchmark: 1272.7097, usercpu_time_millis: 97.864, usercpu_time_millis_testing: 5.937, usercpu_time_millis_training: 91.927,
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 - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.9063, kb_relative_information_score: -1064.4908, mean_absolute_error: 0.1037, 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: 0.8743, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.9111, scimark_benchmark: 1266.242, usercpu_time_millis: 45.686, usercpu_time_millis_testing: 2.684, usercpu_time_millis_training: 43.002,
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 - 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: 0.9127, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -665.6676, mean_absolute_error: 0.0964, 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: 0.8123, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.8685, scimark_benchmark: 1240.5271, usercpu_time_millis: 102.855, usercpu_time_millis_testing: 9.563, usercpu_time_millis_training: 93.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1017.0069, 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: 0.8609, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.902, scimark_benchmark: 1271.3983, usercpu_time_millis: 55.603, usercpu_time_millis_testing: 2.83, usercpu_time_millis_training: 52.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.9063, kb_relative_information_score: -1044.8225, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.9295, scimark_benchmark: 1275.6376, usercpu_time_millis: 39.002, usercpu_time_millis_testing: 3.396, usercpu_time_millis_training: 35.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.925, kappa: 0.2302, kb_relative_information_score: -603.4878, mean_absolute_error: 0.0926, 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: 0.7809, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8465, scimark_benchmark: 1264.6974, usercpu_time_millis: 101.166, usercpu_time_millis_testing: 6.307, usercpu_time_millis_training: 94.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.9063, kb_relative_information_score: -1170.6076, mean_absolute_error: 0.1111, 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: 0.9368, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.9553, scimark_benchmark: 1254.1123, usercpu_time_millis: 24.169, usercpu_time_millis_testing: 2.482, usercpu_time_millis_training: 21.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.9063, kb_relative_information_score: -1344.7917, mean_absolute_error: 0.1099, 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: 0.9263, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.9493, scimark_benchmark: 1256.0322, usercpu_time_millis: 20.61, usercpu_time_millis_testing: 1.467, usercpu_time_millis_training: 19.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.9063, kb_relative_information_score: -1043.2206, 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: 0.8824, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.223, root_relative_squared_error: 0.9167, scimark_benchmark: 1270.6471, usercpu_time_millis: 6.826, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 6.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: -0.8557, 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: 1247.3757, usercpu_time_millis: 9.544, usercpu_time_millis_testing: 0.95, usercpu_time_millis_training: 8.594,
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: 0.9151, f_measure: 0.9115, kappa: 0.0658, kb_relative_information_score: -653.3546, mean_absolute_error: 0.0957, 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: 0.8072, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.8657, scimark_benchmark: 1247.8119, usercpu_time_millis: 83.067, usercpu_time_millis_testing: 6.893, usercpu_time_millis_training: 76.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.9208, kappa: 0.1773, kb_relative_information_score: -629.8375, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8537, scimark_benchmark: 1239.3311, usercpu_time_millis: 79.408, usercpu_time_millis_testing: 5.591, usercpu_time_millis_training: 73.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.9063, kb_relative_information_score: -1034.7931, mean_absolute_error: 0.1046, 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: 0.8819, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.915, scimark_benchmark: 1268.5885, usercpu_time_millis: 33.885, usercpu_time_millis_testing: 3.035, usercpu_time_millis_training: 30.85,
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: 0.9102, 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,
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: 0.9038, 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: 0.9144, 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: 0.8923, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -883.5382, mean_absolute_error: 0.1028, 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: 0.8663, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.9018, scimark_benchmark: 1270.0593, usercpu_time_millis: 49.339, usercpu_time_millis_testing: 4.732, usercpu_time_millis_training: 44.607,
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: 0.9088, 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: 0.904, 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: 0.8362, f_measure: 0.9063, kb_relative_information_score: -1254.1329, 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: 0.2297, root_relative_squared_error: 0.9442, scimark_benchmark: 1261.8192, usercpu_time_millis: 38.666, usercpu_time_millis_testing: 3.298, usercpu_time_millis_training: 35.368,
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: 0.8501, f_measure: 0.9063, kb_relative_information_score: -1298.0749, mean_absolute_error: 0.1095, 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: 0.9233, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.947, scimark_benchmark: 1275.8363, usercpu_time_millis: 27.186, usercpu_time_millis_testing: 2.202, usercpu_time_millis_training: 24.984,
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: 0.5, 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: 0.9099, 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: 0.9166, 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: 0.4999, 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: 0.9056, 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: 0.9107, 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: 0.9166, 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: 0.9052, 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: 0.9127, 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: 0.9029, 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: 0.9104, 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: 0.8723, 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: 0.908, 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: 0.906, 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: 0.9107, 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: 0.5, 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: 0.9115, 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: 0.9086, 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: 0.8997, 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: 0.9136, 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,

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