OpenML
Supervised Classification on mfeat-factors

Supervised Classification on mfeat-factors

Task 1776 Supervised Classification mfeat-factors 300 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8056, kappa: 0.7842, kb_relative_information_score: 7978.0777, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8061, predictive_accuracy: 0.8058, prior_entropy: 3.3219, recall: 0.8058, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.6163, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8285, kappa: 0.8101, kb_relative_information_score: 7901.9456, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8287, predictive_accuracy: 0.8291, prior_entropy: 3.3219, recall: 0.8291, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.529, scimark_benchmark: 851.2074, usercpu_time_millis: 19430, usercpu_time_millis_training: 19430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.5407, kappa: 0.4993, kb_relative_information_score: 5287.8167, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6403, predictive_accuracy: 0.5494, prior_entropy: 3.3219, recall: 0.5494, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0007, scimark_benchmark: 916.0735, usercpu_time_millis: 43130, usercpu_time_millis_testing: 8330, usercpu_time_millis_training: 34800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.925, kappa: 0.9166, kb_relative_information_score: 9224.1707, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9261, predictive_accuracy: 0.9249, prior_entropy: 3.3219, recall: 0.9249, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 941.6675, usercpu_time_millis: 660, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 941.6675, usercpu_time_millis: 8590, usercpu_time_millis_testing: 7420, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 938.191, usercpu_time_millis: 8940, usercpu_time_millis_testing: 7800, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9185, kappa: 0.9094, kb_relative_information_score: 8569.8054, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9188, predictive_accuracy: 0.9185, prior_entropy: 3.3219, recall: 0.9185, relative_absolute_error: 0.2451, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.4079, scimark_benchmark: 941.6675, usercpu_time_millis: 2590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 8702.0094, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.109, root_relative_squared_error: 0.3632, scimark_benchmark: 931.771, usercpu_time_millis: 1710, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.5407, kappa: 0.4993, kb_relative_information_score: 5287.8167, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6403, predictive_accuracy: 0.5494, prior_entropy: 3.3219, recall: 0.5494, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0007, scimark_benchmark: 941.3847, usercpu_time_millis: 64950, usercpu_time_millis_testing: 19640, usercpu_time_millis_training: 45310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.925, kappa: 0.9166, kb_relative_information_score: 9224.1707, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9261, predictive_accuracy: 0.9249, prior_entropy: 3.3219, recall: 0.9249, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 941.3847, usercpu_time_millis: 590, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 941.3847, usercpu_time_millis: 8400, usercpu_time_millis_testing: 7260, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8571, kappa: 0.8399, kb_relative_information_score: 8392.1055, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8628, predictive_accuracy: 0.8559, prior_entropy: 3.3219, recall: 0.8559, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.5151, scimark_benchmark: 937.5117, usercpu_time_millis: 830770, usercpu_time_millis_testing: 1510, usercpu_time_millis_training: 829260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 8702.0094, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.109, root_relative_squared_error: 0.3632, scimark_benchmark: 943.1009, usercpu_time_millis: 1780, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8056, kappa: 0.7842, kb_relative_information_score: 7978.0777, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8061, predictive_accuracy: 0.8058, prior_entropy: 3.3219, recall: 0.8058, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.6163, scimark_benchmark: 819.5729, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8285, kappa: 0.8101, kb_relative_information_score: 7901.9456, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8287, predictive_accuracy: 0.8291, prior_entropy: 3.3219, recall: 0.8291, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.529, scimark_benchmark: 608.4057, usercpu_time_millis: 19880, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 19870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.5407, kappa: 0.4993, kb_relative_information_score: 5287.8167, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6403, predictive_accuracy: 0.5494, prior_entropy: 3.3219, recall: 0.5494, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0007, scimark_benchmark: 927.2882, usercpu_time_millis: 34850, usercpu_time_millis_testing: 13040, usercpu_time_millis_training: 21810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 930.404, usercpu_time_millis: 7770, usercpu_time_millis_testing: 6720, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 930.404, usercpu_time_millis: 9970, usercpu_time_millis_testing: 8750, usercpu_time_millis_training: 1220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 903.2737, usercpu_time_millis: 8280, usercpu_time_millis_testing: 7130, usercpu_time_millis_training: 1150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 903.2737, usercpu_time_millis: 9110, usercpu_time_millis_testing: 7900, usercpu_time_millis_training: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9185, kappa: 0.9094, kb_relative_information_score: 8569.8054, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9188, predictive_accuracy: 0.9185, prior_entropy: 3.3219, recall: 0.9185, relative_absolute_error: 0.2451, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.4079, scimark_benchmark: 941.4991, usercpu_time_millis: 2650, usercpu_time_millis_training: 2650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 945.6228, usercpu_time_millis: 8050, usercpu_time_millis_testing: 7000, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8571, kappa: 0.8399, kb_relative_information_score: 8392.1055, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8628, predictive_accuracy: 0.8559, prior_entropy: 3.3219, recall: 0.8559, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.5151, scimark_benchmark: 935.5664, usercpu_time_millis: 828700, usercpu_time_millis_testing: 1660, usercpu_time_millis_training: 827040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 8702.0094, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.109, root_relative_squared_error: 0.3632, scimark_benchmark: 936.9595, usercpu_time_millis: 1890, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9723, kappa: 0.9692, kb_relative_information_score: 9111.6426, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9726, predictive_accuracy: 0.9723, prior_entropy: 3.3219, recall: 0.9723, relative_absolute_error: 0.167, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.088, root_relative_squared_error: 0.2932, scimark_benchmark: 851.2074, usercpu_time_millis: 482020, usercpu_time_millis_testing: 158820, usercpu_time_millis_training: 323200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9704, kappa: 0.9671, kb_relative_information_score: 9103.1978, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9708, predictive_accuracy: 0.9704, prior_entropy: 3.3219, recall: 0.9704, relative_absolute_error: 0.1676, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.2964, scimark_benchmark: 934.7923, usercpu_time_millis: 189970, usercpu_time_millis_testing: 56890, usercpu_time_millis_training: 133080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9683, kappa: 0.9648, kb_relative_information_score: 9098.5897, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9686, predictive_accuracy: 0.9683, prior_entropy: 3.3219, recall: 0.9683, relative_absolute_error: 0.1675, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.3004, scimark_benchmark: 935.0213, usercpu_time_millis: 94920, usercpu_time_millis_testing: 28220, usercpu_time_millis_training: 66700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9652, kappa: 0.9613, kb_relative_information_score: 9093.6332, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9654, predictive_accuracy: 0.9652, prior_entropy: 3.3219, recall: 0.9652, relative_absolute_error: 0.1665, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.3079, scimark_benchmark: 939.7883, usercpu_time_millis: 47730, usercpu_time_millis_testing: 15380, usercpu_time_millis_training: 32350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9575, kappa: 0.9528, kb_relative_information_score: 9078.6887, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9576, predictive_accuracy: 0.9575, prior_entropy: 3.3219, recall: 0.9575, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.3219, scimark_benchmark: 941.9549, usercpu_time_millis: 24310, usercpu_time_millis_testing: 7420, usercpu_time_millis_training: 16890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 929.0296, usercpu_time_millis: 920, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.1084, kappa: 0.1094, kb_relative_information_score: 2191.7933, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0787, predictive_accuracy: 0.1985, prior_entropy: 3.3219, recall: 0.1985, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.9638, scimark_benchmark: 936.1714, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.1084, kappa: 0.1094, kb_relative_information_score: 2191.7933, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0787, predictive_accuracy: 0.1985, prior_entropy: 3.3219, recall: 0.1985, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.9638, scimark_benchmark: 938.3115, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.1084, kappa: 0.1094, kb_relative_information_score: 2191.7933, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0787, predictive_accuracy: 0.1985, prior_entropy: 3.3219, recall: 0.1985, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.9638, scimark_benchmark: 940.0055, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.1084, kappa: 0.1094, kb_relative_information_score: 2191.7933, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0787, predictive_accuracy: 0.1985, prior_entropy: 3.3219, recall: 0.1985, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.9638, scimark_benchmark: 935.6052, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.1084, kappa: 0.1094, kb_relative_information_score: 2191.7933, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0787, predictive_accuracy: 0.1985, prior_entropy: 3.3219, recall: 0.1985, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.9638, scimark_benchmark: 935.6052, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 588.1826, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 8702.0094, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.109, root_relative_squared_error: 0.3632, scimark_benchmark: 1316.5668, usercpu_time_millis: 1880, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.5407, kappa: 0.4993, kb_relative_information_score: 5287.8167, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6403, predictive_accuracy: 0.5494, prior_entropy: 3.3219, recall: 0.5494, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0007, scimark_benchmark: 1313.11, usercpu_time_millis: 28090, usercpu_time_millis_testing: 16630, usercpu_time_millis_training: 11460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.925, kappa: 0.9166, kb_relative_information_score: 9224.1707, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9261, predictive_accuracy: 0.9249, prior_entropy: 3.3219, recall: 0.9249, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 1324.7884, usercpu_time_millis: 530, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1316.5668, usercpu_time_millis: 8150, usercpu_time_millis_testing: 7290, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1332.1612, usercpu_time_millis: 9090, usercpu_time_millis_testing: 7920, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.5407, kappa: 0.4993, kb_relative_information_score: 5287.8167, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6403, predictive_accuracy: 0.5494, prior_entropy: 3.3219, recall: 0.5494, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0007, scimark_benchmark: 1342.8584, usercpu_time_millis: 82890, usercpu_time_millis_testing: 30200, usercpu_time_millis_training: 52690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.5407, kappa: 0.4993, kb_relative_information_score: 5287.8167, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6403, predictive_accuracy: 0.5494, prior_entropy: 3.3219, recall: 0.5494, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0007, scimark_benchmark: 1326.2019, usercpu_time_millis: 41740, usercpu_time_millis_testing: 18490, usercpu_time_millis_training: 23250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.925, kappa: 0.9166, kb_relative_information_score: 9224.1707, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9261, predictive_accuracy: 0.9249, prior_entropy: 3.3219, recall: 0.9249, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 1313.5633, usercpu_time_millis: 560, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1337.3324, usercpu_time_millis: 7540, usercpu_time_millis_testing: 6670, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8571, kappa: 0.8399, kb_relative_information_score: 8392.1055, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8628, predictive_accuracy: 0.8559, prior_entropy: 3.3219, recall: 0.8559, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.5151, scimark_benchmark: 1323.5075, usercpu_time_millis: 1309920, usercpu_time_millis_testing: 5390, usercpu_time_millis_training: 1304530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1342.2845, usercpu_time_millis: 7980, usercpu_time_millis_testing: 6820, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9185, kappa: 0.9094, kb_relative_information_score: 8569.8054, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9188, predictive_accuracy: 0.9185, prior_entropy: 3.3219, recall: 0.9185, relative_absolute_error: 0.2451, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.4079, scimark_benchmark: 1337.3324, usercpu_time_millis: 2290, usercpu_time_millis_training: 2290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1350.7721, usercpu_time_millis: 5430, usercpu_time_millis_testing: 4850, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 8702.0094, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.109, root_relative_squared_error: 0.3632, scimark_benchmark: 1310.6554, usercpu_time_millis: 1570, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8285, kappa: 0.8101, kb_relative_information_score: 7901.9456, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8287, predictive_accuracy: 0.8291, prior_entropy: 3.3219, recall: 0.8291, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.529, scimark_benchmark: 1364.991, usercpu_time_millis: 14420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 14410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8571, kappa: 0.8399, kb_relative_information_score: 8392.1055, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8628, predictive_accuracy: 0.8559, prior_entropy: 3.3219, recall: 0.8559, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.5151, scimark_benchmark: 1306.5596, usercpu_time_millis: 1295850, usercpu_time_millis_testing: 5440, usercpu_time_millis_training: 1290410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1347.7267, usercpu_time_millis: 7340, usercpu_time_millis_testing: 6530, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1322.2005, usercpu_time_millis: 6890, usercpu_time_millis_testing: 6220, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 8702.0094, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.109, root_relative_squared_error: 0.3632, scimark_benchmark: 1310.3168, usercpu_time_millis: 2150, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 2040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8571, kappa: 0.8399, kb_relative_information_score: 8392.1055, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8628, predictive_accuracy: 0.8559, prior_entropy: 3.3219, recall: 0.8559, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.5151, scimark_benchmark: 1360.0477, usercpu_time_millis: 1242520, usercpu_time_millis_testing: 5050, usercpu_time_millis_training: 1237470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 8702.0094, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.109, root_relative_squared_error: 0.3632, scimark_benchmark: 1397.3209, usercpu_time_millis: 1890, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.5407, kappa: 0.4993, kb_relative_information_score: 5287.8167, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6403, predictive_accuracy: 0.5494, prior_entropy: 3.3219, recall: 0.5494, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0007, scimark_benchmark: 1299.9304, usercpu_time_millis: 104870, usercpu_time_millis_testing: 36640, usercpu_time_millis_training: 68230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8571, kappa: 0.8399, kb_relative_information_score: 8392.1055, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8628, predictive_accuracy: 0.8559, prior_entropy: 3.3219, recall: 0.8559, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.5151, scimark_benchmark: 1347.993, usercpu_time_millis: 1234880, usercpu_time_millis_testing: 5000, usercpu_time_millis_training: 1229880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.925, kappa: 0.9166, kb_relative_information_score: 9224.1707, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9261, predictive_accuracy: 0.9249, prior_entropy: 3.3219, recall: 0.9249, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 938.0414, usercpu_time_millis: 640, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 8702.0094, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.109, root_relative_squared_error: 0.3632, scimark_benchmark: 1326.8946, usercpu_time_millis: 1690, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8285, kappa: 0.8101, kb_relative_information_score: 7901.9456, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8287, predictive_accuracy: 0.8291, prior_entropy: 3.3219, recall: 0.8291, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.529, scimark_benchmark: 1371.9645, usercpu_time_millis: 14980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 14970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 918.0213, usercpu_time_millis: 7950, usercpu_time_millis_testing: 6860, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8571, kappa: 0.8399, kb_relative_information_score: 8392.1055, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8628, predictive_accuracy: 0.8559, prior_entropy: 3.3219, recall: 0.8559, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.5151, scimark_benchmark: 918.0213, usercpu_time_millis: 859750, usercpu_time_millis_testing: 1420, usercpu_time_millis_training: 858330,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs