OpenML
Supervised Classification on ozone-level-8hr

Supervised Classification on ozone-level-8hr

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


Metric:

90654 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.9262, kappa: 0.2497, kb_relative_information_score: -825.4568, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8592, scimark_benchmark: 1729.728, usercpu_time_millis: 134.289, usercpu_time_millis_testing: 1.08, usercpu_time_millis_training: 133.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.9237, kappa: 0.2176, kb_relative_information_score: -728.9687, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9331, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.8003, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8586, scimark_benchmark: 1085.2842, usercpu_time_millis: 8.987, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 8.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.9249, kappa: 0.2374, kb_relative_information_score: -698.0713, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9301, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8566, scimark_benchmark: 1733.7613, usercpu_time_millis: 5.476, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 5.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.9245, kappa: 0.2267, kb_relative_information_score: -816.744, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.934, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8585, scimark_benchmark: 1735.1328, usercpu_time_millis: 52.906, usercpu_time_millis_testing: 0.578, usercpu_time_millis_training: 52.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -806.238, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9296, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8187, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.8725, scimark_benchmark: 1733.3606, usercpu_time_millis: 26.115, usercpu_time_millis_testing: 1.165, usercpu_time_millis_training: 24.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -1380.6047, mean_absolute_error: 0.1088, 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: 0.9174, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.9403, scimark_benchmark: 1721.2871, usercpu_time_millis: 20.258, usercpu_time_millis_testing: 0.674, usercpu_time_millis_training: 19.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.9207, kappa: 0.1998, kb_relative_information_score: -789.5464, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9197, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.7891, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.214, root_relative_squared_error: 0.8799, scimark_benchmark: 1733.3606, usercpu_time_millis: 13.143, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 13.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 1.5367, 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: 0.9982, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1728.8693, usercpu_time_millis: 3.501, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 3.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.9288, kappa: 0.2993, kb_relative_information_score: -657.3997, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9284, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7591, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8568, scimark_benchmark: 1724.8648, usercpu_time_millis: 112.414, usercpu_time_millis_testing: 1.709, usercpu_time_millis_training: 110.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.9245, kappa: 0.2267, kb_relative_information_score: -760.1256, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.934, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7948, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.8605, scimark_benchmark: 1733.7613, usercpu_time_millis: 70.954, usercpu_time_millis_testing: 1.199, usercpu_time_millis_training: 69.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.9227, kappa: 0.2026, kb_relative_information_score: -830.9709, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9351, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.807, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.862, scimark_benchmark: 1734.2259, usercpu_time_millis: 88.485, usercpu_time_millis_testing: 1.026, usercpu_time_millis_training: 87.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.9262, kappa: 0.2497, kb_relative_information_score: -700.4399, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8503, scimark_benchmark: 1729.3292, usercpu_time_millis: 62.345, usercpu_time_millis_testing: 1.447, usercpu_time_millis_training: 60.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9261, kappa: 0.241, kb_relative_information_score: -667.9506, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9401, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7919, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8502, scimark_benchmark: 1723.5031, usercpu_time_millis: 13.904, usercpu_time_millis_testing: 0.88, usercpu_time_millis_training: 13.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -884.5995, mean_absolute_error: 0.0982, 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: 0.8278, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8702, scimark_benchmark: 1724.7476, usercpu_time_millis: 11.877, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 11.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.9166, kappa: 0.1277, kb_relative_information_score: -798.0875, mean_absolute_error: 0.0965, 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: 0.8134, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.8671, scimark_benchmark: 1715.6347, usercpu_time_millis: 10.574, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 10.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 4.7335, 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: 0.9965, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1012.0145, usercpu_time_millis: 6.334, usercpu_time_millis_testing: 1.11, usercpu_time_millis_training: 5.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.9227, kappa: 0.2069, kb_relative_information_score: -669.8263, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9306, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7807, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8609, scimark_benchmark: 1733.7613, usercpu_time_millis: 14.458, usercpu_time_millis_testing: 0.491, usercpu_time_millis_training: 13.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.9234, kappa: 0.2159, kb_relative_information_score: -690.665, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9315, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7824, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8613, scimark_benchmark: 1723.0479, usercpu_time_millis: 54.301, usercpu_time_millis_testing: 1.182, usercpu_time_millis_training: 53.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9063, kb_relative_information_score: 3.5215, 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: 1731.5003, usercpu_time_millis: 3.366, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 2.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.9063, kb_relative_information_score: -1451.7967, 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: 0.9259, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.232, root_relative_squared_error: 0.9539, scimark_benchmark: 1733.299, usercpu_time_millis: 1.474, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 1.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.9063, kb_relative_information_score: -1402.8691, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9158, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.9421, scimark_benchmark: 1723.1663, usercpu_time_millis: 26.175, usercpu_time_millis_testing: 0.514, usercpu_time_millis_training: 25.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.9261, kappa: 0.2607, kb_relative_information_score: -692.4858, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9273, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7706, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8541, scimark_benchmark: 1733.3606, usercpu_time_millis: 22.304, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 21.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1114.0861, 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: 0.8691, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.9082, scimark_benchmark: 1543.3983, usercpu_time_millis: 27.832, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 27.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -673.9165, mean_absolute_error: 0.0948, 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: 0.7993, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8576, scimark_benchmark: 1718.2809, usercpu_time_millis: 7.359, usercpu_time_millis_testing: 0.656, usercpu_time_millis_training: 6.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.9222, kappa: 0.1993, kb_relative_information_score: -730.9611, mean_absolute_error: 0.0937, 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: 0.7903, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.211, root_relative_squared_error: 0.8675, scimark_benchmark: 1731.5003, usercpu_time_millis: 5.083, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 4.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -815.3412, mean_absolute_error: 0.098, 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: 0.8263, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.867, scimark_benchmark: 1717.7792, usercpu_time_millis: 15.796, usercpu_time_millis_testing: 0.894, usercpu_time_millis_training: 14.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.9063, kb_relative_information_score: -772.6543, mean_absolute_error: 0.1133, 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: 0.955, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.9658, scimark_benchmark: 1728.9285, usercpu_time_millis: 5.101, usercpu_time_millis_testing: 0.747, usercpu_time_millis_training: 4.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.9063, kb_relative_information_score: -957.7714, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8864, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.9161, scimark_benchmark: 1729.7915, usercpu_time_millis: 4.626, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 4.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.9088, kappa: 0.0327, kb_relative_information_score: -1109.2035, mean_absolute_error: 0.1021, 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: 0.8605, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.8967, scimark_benchmark: 1730.7008, usercpu_time_millis: 8.902, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 8.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.9253, kappa: 0.2356, kb_relative_information_score: -599.4761, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9348, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.8499, scimark_benchmark: 1020.6047, usercpu_time_millis: 5.388, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 5.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.9063, kb_relative_information_score: -1442.9927, 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: 0.9198, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.9488, scimark_benchmark: 1719.8905, usercpu_time_millis: 11.137, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 10.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: 4.0342, 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: 1733.7613, usercpu_time_millis: 3.837, usercpu_time_millis_testing: 0.611, usercpu_time_millis_training: 3.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9063, kb_relative_information_score: 3.4962, 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: 1732.0988, usercpu_time_millis: 3.254, usercpu_time_millis_testing: 0.613, usercpu_time_millis_training: 2.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: -1.4997, 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: 0.9977, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1729.2293, usercpu_time_millis: 2.826, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 2.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.9063, kb_relative_information_score: -1201.6349, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9184, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.9449, scimark_benchmark: 1714.7312, usercpu_time_millis: 5.985, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 5.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.9063, kb_relative_information_score: -1427.228, 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: 0.9173, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.9449, scimark_benchmark: 1723.5031, usercpu_time_millis: 1.673, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 1.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.9301, kappa: 0.3108, kb_relative_information_score: -628.2901, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9306, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.8519, scimark_benchmark: 1726.065, usercpu_time_millis: 87.569, usercpu_time_millis_testing: 1.845, usercpu_time_millis_training: 85.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.9292, kappa: 0.2838, kb_relative_information_score: -808.765, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9366, predictive_accuracy: 0.9451, prior_entropy: 0.3411, recall: 0.9451, relative_absolute_error: 0.7886, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8565, scimark_benchmark: 1732.0396, usercpu_time_millis: 73.659, usercpu_time_millis_testing: 1.012, usercpu_time_millis_training: 72.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.927, kappa: 0.2661, kb_relative_information_score: -747.9958, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9302, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.778, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.859, scimark_benchmark: 1735.1328, usercpu_time_millis: 74.963, usercpu_time_millis_testing: 0.821, usercpu_time_millis_training: 74.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.9063, kb_relative_information_score: -1172.7563, mean_absolute_error: 0.1042, 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: 0.8788, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.9146, scimark_benchmark: 739.5628, usercpu_time_millis: 54.176, usercpu_time_millis_testing: 0.978, usercpu_time_millis_training: 53.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1408.7056, mean_absolute_error: 0.106, 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: 0.8938, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.9329, scimark_benchmark: 1723.5031, usercpu_time_millis: 72.246, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 71.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.9157, kappa: 0.1175, kb_relative_information_score: -932.4353, mean_absolute_error: 0.0985, 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: 0.83, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.8754, scimark_benchmark: 1729.3908, usercpu_time_millis: 61.646, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 60.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.9164, kappa: 0.1263, kb_relative_information_score: -827.4935, mean_absolute_error: 0.096, 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: 0.8093, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.8724, scimark_benchmark: 1734.6706, usercpu_time_millis: 29.145, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 28.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.9253, kappa: 0.232, kb_relative_information_score: -809.8687, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9394, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.8051, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.8662, scimark_benchmark: 1683.3779, usercpu_time_millis: 31.326, usercpu_time_millis_testing: 0.951, usercpu_time_millis_training: 30.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.9265, kappa: 0.2515, kb_relative_information_score: -745.9506, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7873, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8536, scimark_benchmark: 1730.591, usercpu_time_millis: 34.481, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 33.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.9131, kappa: 0.0861, kb_relative_information_score: -839.727, mean_absolute_error: 0.099, 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: 0.8348, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.8752, scimark_benchmark: 1731.9625, usercpu_time_millis: 13.996, usercpu_time_millis_testing: 0.9, usercpu_time_millis_training: 13.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.9063, kb_relative_information_score: -1446.0453, mean_absolute_error: 0.1116, 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: 0.9409, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.9677, scimark_benchmark: 1723.0479, usercpu_time_millis: 4.237, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 3.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -911.4074, mean_absolute_error: 0.0983, 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: 0.8289, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.215, root_relative_squared_error: 0.8838, scimark_benchmark: 1738.3274, usercpu_time_millis: 3.762, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 3.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.9106, kappa: 0.0549, kb_relative_information_score: -1234.7997, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9245, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.9033, scimark_benchmark: 1735.1328, usercpu_time_millis: 3.034, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 2.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9063, kb_relative_information_score: 3.4104, 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: 1727.9533, usercpu_time_millis: 1.395, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 1.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.916, kappa: 0.1188, kb_relative_information_score: -612.7005, mean_absolute_error: 0.0947, 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: 0.7985, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.8616, scimark_benchmark: 1724.4096, usercpu_time_millis: 7.951, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 7.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.9264, kappa: 0.2547, kb_relative_information_score: -697.4462, mean_absolute_error: 0.0924, 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: 0.7793, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.854, scimark_benchmark: 1730.3001, usercpu_time_millis: 21.557, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 21.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.9063, kb_relative_information_score: -1157.3621, 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: 0.9253, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.9518, scimark_benchmark: 1723.8599, usercpu_time_millis: 3.664, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 3.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.9063, kb_relative_information_score: -1166.4468, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9307, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.9489, scimark_benchmark: 1728.3071, usercpu_time_millis: 6.634, usercpu_time_millis_testing: 0.774, usercpu_time_millis_training: 5.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.9063, kb_relative_information_score: -1182.8816, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9122, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.9385, scimark_benchmark: 1724.9287, usercpu_time_millis: 3.187, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 2.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.9063, kb_relative_information_score: -1315.0156, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9026, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.9306, scimark_benchmark: 1723.9607, usercpu_time_millis: 16.2, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 15.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7695, f_measure: 0.9063, kb_relative_information_score: -1281.1997, mean_absolute_error: 0.1114, 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: 0.9394, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.9643, scimark_benchmark: 1735.1328, usercpu_time_millis: 8.95, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 8.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: 2.0772, 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: 0.9958, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1723.8599, usercpu_time_millis: 0.829, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.9316, kappa: 0.3331, kb_relative_information_score: -713.4697, mean_absolute_error: 0.0905, 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: 0.7629, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8638, scimark_benchmark: 738.8337, usercpu_time_millis: 193.769, usercpu_time_millis_testing: 1.658, usercpu_time_millis_training: 192.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.9192, kappa: 0.1822, kb_relative_information_score: -800.8821, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9175, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.8797, scimark_benchmark: 1729.3292, usercpu_time_millis: 113.584, usercpu_time_millis_testing: 1.096, usercpu_time_millis_training: 112.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.9063, kb_relative_information_score: -1512.8817, 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: 0.2305, root_relative_squared_error: 0.9478, scimark_benchmark: 1712.075, usercpu_time_millis: 112.006, usercpu_time_millis_testing: 1.83, usercpu_time_millis_training: 110.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -853.0041, mean_absolute_error: 0.0963, 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: 0.8122, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.8631, scimark_benchmark: 1734.6706, usercpu_time_millis: 94.908, usercpu_time_millis_testing: 1.309, usercpu_time_millis_training: 93.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.9248, kappa: 0.2408, kb_relative_information_score: -676.3453, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9276, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8564, scimark_benchmark: 1736.4936, usercpu_time_millis: 87.156, usercpu_time_millis_testing: 1.392, usercpu_time_millis_training: 85.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.9063, kb_relative_information_score: -1438.4447, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.9437, scimark_benchmark: 1707.6472, usercpu_time_millis: 63.911, usercpu_time_millis_testing: 1.649, usercpu_time_millis_training: 62.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.9069, kappa: 0.01, kb_relative_information_score: -1016.3287, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8991, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.219, root_relative_squared_error: 0.9002, scimark_benchmark: 1734.6706, usercpu_time_millis: 58.121, usercpu_time_millis_testing: 0.839, usercpu_time_millis_training: 57.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.9063, kb_relative_information_score: -1550.461, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9142, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.23, root_relative_squared_error: 0.9456, scimark_benchmark: 1725.3223, usercpu_time_millis: 53.789, usercpu_time_millis_testing: 0.907, usercpu_time_millis_training: 52.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.9224, kappa: 0.2009, kb_relative_information_score: -786.042, mean_absolute_error: 0.0953, 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: 0.8037, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8587, scimark_benchmark: 1733.7613, usercpu_time_millis: 37.002, usercpu_time_millis_testing: 0.819, usercpu_time_millis_training: 36.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1836.8691, mean_absolute_error: 0.1101, 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: 0.9286, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.9638, scimark_benchmark: 1731.6389, usercpu_time_millis: 31.798, usercpu_time_millis_testing: 0.532, usercpu_time_millis_training: 31.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.9063, kb_relative_information_score: -1202.0249, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.9437, scimark_benchmark: 1712.847, usercpu_time_millis: 16.952, usercpu_time_millis_testing: 0.827, usercpu_time_millis_training: 16.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.9262, kappa: 0.2497, kb_relative_information_score: -678.5514, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8513, scimark_benchmark: 2125.3118, usercpu_time_millis: 22.87, usercpu_time_millis_testing: 0.723, usercpu_time_millis_training: 22.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.9063, kb_relative_information_score: -907.1223, mean_absolute_error: 0.1125, 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: 0.9484, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.9607, scimark_benchmark: 738.3058, usercpu_time_millis: 10.667, usercpu_time_millis_testing: 1.04, usercpu_time_millis_training: 9.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.9063, kb_relative_information_score: -1430.9229, 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: 0.9229, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.9506, scimark_benchmark: 1733.7613, usercpu_time_millis: 12.348, usercpu_time_millis_testing: 0.649, usercpu_time_millis_training: 11.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.9131, kappa: 0.0861, kb_relative_information_score: -970.631, mean_absolute_error: 0.1008, 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: 0.8496, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.8842, scimark_benchmark: 1720.8342, usercpu_time_millis: 16.629, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 15.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -922.9405, mean_absolute_error: 0.099, 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: 0.8349, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.8831, scimark_benchmark: 1727.6138, usercpu_time_millis: 10.882, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 10.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -831.9189, mean_absolute_error: 0.1022, 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: 0.8613, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.218, root_relative_squared_error: 0.8965, scimark_benchmark: 1721.8903, usercpu_time_millis: 8.637, usercpu_time_millis_testing: 1.036, usercpu_time_millis_training: 7.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.9063, kb_relative_information_score: 3.744, 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: 1731.1084, usercpu_time_millis: 1.409, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 1.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.9265, kappa: 0.2515, kb_relative_information_score: -812.3284, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.79, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.8604, scimark_benchmark: 1731.5618, usercpu_time_millis: 5.844, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 5.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.9063, kb_relative_information_score: -1065.0163, 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: 0.9253, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.9516, scimark_benchmark: 1737.8652, usercpu_time_millis: 3.231, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 3.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.9246, kappa: 0.2357, kb_relative_information_score: -758.8558, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9289, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.787, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8558, scimark_benchmark: 1811.5068, usercpu_time_millis: 99.58, usercpu_time_millis_testing: 0.993, usercpu_time_millis_training: 98.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.9059, kappa: -0.0016, kb_relative_information_score: -1215.2879, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9361, prior_entropy: 0.3411, recall: 0.9361, relative_absolute_error: 0.8665, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.9258, scimark_benchmark: 1886.1709, usercpu_time_millis: 95.871, usercpu_time_millis_testing: 0.991, usercpu_time_millis_training: 94.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.9271, kappa: 0.2632, kb_relative_information_score: -701.6727, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9326, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.8482, scimark_benchmark: 1782.9959, usercpu_time_millis: 62.969, usercpu_time_millis_testing: 1.308, usercpu_time_millis_training: 61.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.9251, kappa: 0.2426, kb_relative_information_score: -763.0609, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9286, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7841, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.8632, scimark_benchmark: 1812.4912, usercpu_time_millis: 57.498, usercpu_time_millis_testing: 0.427, usercpu_time_millis_training: 57.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.9219, kappa: 0.1977, kb_relative_information_score: -760.7784, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9296, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.8692, scimark_benchmark: 1807.1936, usercpu_time_millis: 39.619, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 39.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.9265, kappa: 0.2671, kb_relative_information_score: -642.9465, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9273, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8515, scimark_benchmark: 1808.0518, usercpu_time_millis: 33.131, usercpu_time_millis_testing: 0.573, usercpu_time_millis_training: 32.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.9122, kappa: 0.0755, kb_relative_information_score: -1104.0712, mean_absolute_error: 0.1026, 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: 0.8654, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.8914, scimark_benchmark: 1780.1109, usercpu_time_millis: 23.435, usercpu_time_millis_testing: 0.621, usercpu_time_millis_training: 22.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.9189, kappa: 0.1563, kb_relative_information_score: -800.7912, mean_absolute_error: 0.0955, 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: 0.8055, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8666, scimark_benchmark: 1749.1556, usercpu_time_millis: 46.646, usercpu_time_millis_testing: 1.181, usercpu_time_millis_training: 45.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1742.7457, mean_absolute_error: 0.1106, 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: 0.9321, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.9647, scimark_benchmark: 1804.847, usercpu_time_millis: 8.658, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 8.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.9166, kappa: 0.1277, kb_relative_information_score: -766.7236, mean_absolute_error: 0.0972, 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: 0.8195, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.8686, scimark_benchmark: 1776.0627, usercpu_time_millis: 8.813, usercpu_time_millis_testing: 0.552, usercpu_time_millis_training: 8.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.9268, kappa: 0.2533, kb_relative_information_score: -782.0881, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7909, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8577, scimark_benchmark: 1813.9678, usercpu_time_millis: 9.051, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 8.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.9063, kb_relative_information_score: -1350.8226, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9139, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.9419, scimark_benchmark: 1808.5016, usercpu_time_millis: 4.762, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 4.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -894.2129, mean_absolute_error: 0.0998, 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: 0.841, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.8901, scimark_benchmark: 1790.8736, usercpu_time_millis: 4.091, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 3.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 3.9993, 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: 0.9971, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1801.4206, usercpu_time_millis: 3.566, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 2.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.9208, kappa: 0.1773, kb_relative_information_score: -754.7393, mean_absolute_error: 0.0959, 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: 0.8082, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8637, scimark_benchmark: 1987.678, usercpu_time_millis: 11.447, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 11.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.9063, kb_relative_information_score: -1275.2444, 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: 0.9249, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.9527, scimark_benchmark: 1848.0712, usercpu_time_millis: 11.252, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 10.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.9122, kappa: 0.0755, kb_relative_information_score: -1028.9027, mean_absolute_error: 0.1013, 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: 0.8537, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.8844, scimark_benchmark: 1891.3062, usercpu_time_millis: 10.202, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 9.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.9059, kappa: -0.0016, kb_relative_information_score: -1209.7657, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9361, prior_entropy: 0.3411, recall: 0.9361, relative_absolute_error: 0.8627, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.226, root_relative_squared_error: 0.9291, scimark_benchmark: 1748.9171, usercpu_time_millis: 27.321, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 26.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.9063, kb_relative_information_score: -1478.6411, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9185, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.9512, scimark_benchmark: 1680.2754, usercpu_time_millis: 1.278, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 1.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: -5.3533, 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: 0.9983, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1754.0803, usercpu_time_millis: 4.593, usercpu_time_millis_testing: 0.645, usercpu_time_millis_training: 3.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.9093, kappa: 0.0419, kb_relative_information_score: -961.2288, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9106, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8219, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.8954, scimark_benchmark: 1748.8883, usercpu_time_millis: 87.911, usercpu_time_millis_testing: 1.693, usercpu_time_millis_training: 86.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9181, kappa: 0.1464, kb_relative_information_score: -633.1245, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9316, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.7961, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8589, scimark_benchmark: 1760.011, usercpu_time_millis: 23.371, usercpu_time_millis_testing: 1.888, usercpu_time_millis_training: 21.483,

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