Task
Supervised Classification on mc1

Supervised Classification on mc1

Task 4612 Supervised Classification mc1 196 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.9929, kappa: 0.4067, kb_relative_information_score: -203569.3111, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9935, predictive_accuracy: 0.9943, prior_entropy: 0.0622, recall: 0.9943, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.8743, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.9904, kappa: 0.1582, kb_relative_information_score: -833542.9167, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9902, predictive_accuracy: 0.9929, prior_entropy: 0.0622, recall: 0.9929, relative_absolute_error: 1.8055, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.088, root_relative_squared_error: 1.0415, scimark_benchmark: 972.587, usercpu_time_millis: 1710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.9927, kappa: 0.3921, kb_relative_information_score: -289474.9568, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9928, predictive_accuracy: 0.994, prior_entropy: 0.0622, recall: 0.994, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.8925, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9928, kappa: 0.4023, kb_relative_information_score: -190553.7675, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9929, predictive_accuracy: 0.9941, prior_entropy: 0.0622, recall: 0.9941, relative_absolute_error: 0.6837, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.8749, scimark_benchmark: 908.6124, usercpu_time_millis: 6280550, usercpu_time_millis_testing: 31710, usercpu_time_millis_training: 6248840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.9937, kappa: 0.4776, kb_relative_information_score: 37994.6901, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9944, predictive_accuracy: 0.9949, prior_entropy: 0.0622, recall: 0.9949, relative_absolute_error: 0.3574, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.8485, scimark_benchmark: 941.3142, usercpu_time_millis: 25780, usercpu_time_millis_testing: 5940, usercpu_time_millis_training: 19840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.9937, kappa: 0.4776, kb_relative_information_score: 37994.6901, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9944, predictive_accuracy: 0.9949, prior_entropy: 0.0622, recall: 0.9949, relative_absolute_error: 0.3574, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.8485, scimark_benchmark: 904.0772, usercpu_time_millis: 22860, usercpu_time_millis_testing: 5270, usercpu_time_millis_training: 17590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9854, kappa: 0.2139, kb_relative_information_score: -544130.0835, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9893, predictive_accuracy: 0.9821, prior_entropy: 0.0622, recall: 0.9821, relative_absolute_error: 1.7674, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.117, root_relative_squared_error: 1.3848, scimark_benchmark: 941.6675, usercpu_time_millis: 410, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.9928, kappa: 0.3857, kb_relative_information_score: -205058.5122, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9935, predictive_accuracy: 0.9943, prior_entropy: 0.0622, recall: 0.9943, relative_absolute_error: 0.7097, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0719, root_relative_squared_error: 0.8511, scimark_benchmark: 938.191, usercpu_time_millis: 1710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.9934, kappa: 0.4721, kb_relative_information_score: -270906.3997, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9935, predictive_accuracy: 0.9944, prior_entropy: 0.0622, recall: 0.9944, relative_absolute_error: 0.7053, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.8729, scimark_benchmark: 944.1067, usercpu_time_millis: 11700, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 11630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.9937, kappa: 0.4776, kb_relative_information_score: 37994.6901, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9944, predictive_accuracy: 0.9949, prior_entropy: 0.0622, recall: 0.9949, relative_absolute_error: 0.3574, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.8485, scimark_benchmark: 938.5498, usercpu_time_millis: 28910, usercpu_time_millis_testing: 5750, usercpu_time_millis_training: 23160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.9937, kappa: 0.4776, kb_relative_information_score: 37994.6901, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9944, predictive_accuracy: 0.9949, prior_entropy: 0.0622, recall: 0.9949, relative_absolute_error: 0.3574, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.8485, scimark_benchmark: 941.3847, usercpu_time_millis: 42460, usercpu_time_millis_testing: 5950, usercpu_time_millis_training: 36510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.9941, kappa: 0.5269, kb_relative_information_score: -145420.9333, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9944, predictive_accuracy: 0.995, prior_entropy: 0.0622, recall: 0.995, relative_absolute_error: 0.568, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.065, root_relative_squared_error: 0.7702, scimark_benchmark: 943.1009, usercpu_time_millis: 2510, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 2280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.9929, kappa: 0.4067, kb_relative_information_score: -203569.3111, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9935, predictive_accuracy: 0.9943, prior_entropy: 0.0622, recall: 0.9943, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.8743, scimark_benchmark: 942.2392, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9928, kappa: 0.4023, kb_relative_information_score: -190553.7675, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9929, predictive_accuracy: 0.9941, prior_entropy: 0.0622, recall: 0.9941, relative_absolute_error: 0.6837, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.8749, scimark_benchmark: 936.3373, usercpu_time_millis: 6123070, usercpu_time_millis_testing: 30320, usercpu_time_millis_training: 6092750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.9904, kappa: 0.1582, kb_relative_information_score: -833542.9167, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9902, predictive_accuracy: 0.9929, prior_entropy: 0.0622, recall: 0.9929, relative_absolute_error: 1.8055, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.088, root_relative_squared_error: 1.0415, scimark_benchmark: 901.6243, usercpu_time_millis: 1340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.9927, kappa: 0.3921, kb_relative_information_score: -289474.9568, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9928, predictive_accuracy: 0.994, prior_entropy: 0.0622, recall: 0.994, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.8925, scimark_benchmark: 944.0133, usercpu_time_millis: 5510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.9937, kappa: 0.4776, kb_relative_information_score: 37994.6901, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9944, predictive_accuracy: 0.9949, prior_entropy: 0.0622, recall: 0.9949, relative_absolute_error: 0.3574, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.8485, scimark_benchmark: 932.438, usercpu_time_millis: 21000, usercpu_time_millis_testing: 5040, usercpu_time_millis_training: 15960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9854, kappa: 0.2139, kb_relative_information_score: -544130.0835, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9893, predictive_accuracy: 0.9821, prior_entropy: 0.0622, recall: 0.9821, relative_absolute_error: 1.7674, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.117, root_relative_squared_error: 1.3848, scimark_benchmark: 938.1282, usercpu_time_millis: 390, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9854, kappa: 0.2139, kb_relative_information_score: -544130.0835, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9893, predictive_accuracy: 0.9821, prior_entropy: 0.0622, recall: 0.9821, relative_absolute_error: 1.7674, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.117, root_relative_squared_error: 1.3848, scimark_benchmark: 930.404, usercpu_time_millis: 390, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9854, kappa: 0.2139, kb_relative_information_score: -544130.0835, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9893, predictive_accuracy: 0.9821, prior_entropy: 0.0622, recall: 0.9821, relative_absolute_error: 1.7674, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.117, root_relative_squared_error: 1.3848, scimark_benchmark: 933.3455, usercpu_time_millis: 370, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.9928, kappa: 0.3857, kb_relative_information_score: -205058.5122, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9935, predictive_accuracy: 0.9943, prior_entropy: 0.0622, recall: 0.9943, relative_absolute_error: 0.7097, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0719, root_relative_squared_error: 0.8511, scimark_benchmark: 933.3455, usercpu_time_millis: 1580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9854, kappa: 0.2139, kb_relative_information_score: -544130.0835, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9893, predictive_accuracy: 0.9821, prior_entropy: 0.0622, recall: 0.9821, relative_absolute_error: 1.7674, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.117, root_relative_squared_error: 1.3848, scimark_benchmark: 936.9595, usercpu_time_millis: 400, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.9934, kappa: 0.4721, kb_relative_information_score: -270906.3997, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9935, predictive_accuracy: 0.9944, prior_entropy: 0.0622, recall: 0.9944, relative_absolute_error: 0.7053, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.8729, scimark_benchmark: 941.3057, usercpu_time_millis: 12940, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 12860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.9941, kappa: 0.5269, kb_relative_information_score: -145420.9333, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9944, predictive_accuracy: 0.995, prior_entropy: 0.0622, recall: 0.995, relative_absolute_error: 0.568, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.065, root_relative_squared_error: 0.7702, scimark_benchmark: 936.3213, usercpu_time_millis: 2980, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 2740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9927, kappa: 0.3839, kb_relative_information_score: -81130.7411, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9935, predictive_accuracy: 0.9943, prior_entropy: 0.0622, recall: 0.9943, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.8498, scimark_benchmark: 1171.0303, usercpu_time_millis: 473920, usercpu_time_millis_testing: 124170, usercpu_time_millis_training: 349750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.9927, kappa: 0.3844, kb_relative_information_score: -79940.913, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9936, predictive_accuracy: 0.9943, prior_entropy: 0.0622, recall: 0.9943, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.8503, scimark_benchmark: 737.6064, usercpu_time_millis: 240180, usercpu_time_millis_testing: 55690, usercpu_time_millis_training: 184490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.9927, kappa: 0.3839, kb_relative_information_score: -77569.7082, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9935, predictive_accuracy: 0.9943, prior_entropy: 0.0622, recall: 0.9943, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.8504, scimark_benchmark: 926.5462, usercpu_time_millis: 50010, usercpu_time_millis_testing: 15760, usercpu_time_millis_training: 34250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.9927, kappa: 0.3835, kb_relative_information_score: -69725.1871, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9935, predictive_accuracy: 0.9943, prior_entropy: 0.0622, recall: 0.9943, relative_absolute_error: 0.7092, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0722, root_relative_squared_error: 0.8544, scimark_benchmark: 930.2337, usercpu_time_millis: 36440, usercpu_time_millis_testing: 4490, usercpu_time_millis_training: 31950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.9927, kappa: 0.3826, kb_relative_information_score: -72297.1628, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9934, predictive_accuracy: 0.9943, prior_entropy: 0.0622, recall: 0.9943, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.8603, scimark_benchmark: 933.9243, usercpu_time_millis: 10480, usercpu_time_millis_testing: 1770, usercpu_time_millis_training: 8710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.9893, kappa: 0.0087, kb_relative_information_score: -484445.8194, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9929, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 1.0745, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.9909, scimark_benchmark: 926.5859, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.9893, kappa: 0.0087, kb_relative_information_score: -484445.8194, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9929, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 1.0745, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.9909, scimark_benchmark: 938.3115, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.9893, kappa: 0.0087, kb_relative_information_score: -484445.8194, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9929, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 1.0745, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.9909, scimark_benchmark: 936.7184, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.9893, kappa: 0.0087, kb_relative_information_score: -484445.8194, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9929, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 1.0745, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.9909, scimark_benchmark: 941.9549, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.9908, kappa: 0.2255, kb_relative_information_score: -397248.5638, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.99, predictive_accuracy: 0.9926, prior_entropy: 0.0622, recall: 0.9926, relative_absolute_error: 1.0105, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.988, scimark_benchmark: 941.9549, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.9238, kappa: 0.07, kb_relative_information_score: -1372932.4771, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9916, predictive_accuracy: 0.8697, prior_entropy: 0.0622, recall: 0.8697, relative_absolute_error: 9.0503, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.3567, root_relative_squared_error: 4.2237, scimark_benchmark: 1338.5214, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.9937, kappa: 0.4776, kb_relative_information_score: 37994.6901, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9944, predictive_accuracy: 0.9949, prior_entropy: 0.0622, recall: 0.9949, relative_absolute_error: 0.3574, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.8485, scimark_benchmark: 1338.6772, usercpu_time_millis: 49070, usercpu_time_millis_testing: 9150, usercpu_time_millis_training: 39920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.9238, kappa: 0.07, kb_relative_information_score: -1372932.4771, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9916, predictive_accuracy: 0.8697, prior_entropy: 0.0622, recall: 0.8697, relative_absolute_error: 9.0503, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.3567, root_relative_squared_error: 4.2237, scimark_benchmark: 1342.8584, usercpu_time_millis: 190, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9854, kappa: 0.2139, kb_relative_information_score: -544130.0835, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9893, predictive_accuracy: 0.9821, prior_entropy: 0.0622, recall: 0.9821, relative_absolute_error: 1.7674, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.117, root_relative_squared_error: 1.3848, scimark_benchmark: 1343.3311, usercpu_time_millis: 260, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.9929, kappa: 0.4067, kb_relative_information_score: -203569.3111, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9935, predictive_accuracy: 0.9943, prior_entropy: 0.0622, recall: 0.9943, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.8743, scimark_benchmark: 1330.9181, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.9927, kappa: 0.4048, kb_relative_information_score: -264534.9891, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9926, predictive_accuracy: 0.9939, prior_entropy: 0.0622, recall: 0.9939, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.9109, scimark_benchmark: 1343.3311, usercpu_time_millis: 304550, usercpu_time_millis_testing: 9880, usercpu_time_millis_training: 294670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9854, kappa: 0.2139, kb_relative_information_score: -544130.0835, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9893, predictive_accuracy: 0.9821, prior_entropy: 0.0622, recall: 0.9821, relative_absolute_error: 1.7674, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.117, root_relative_squared_error: 1.3848, scimark_benchmark: 1331.1314, usercpu_time_millis: 220, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.9934, kappa: 0.4721, kb_relative_information_score: -270906.3997, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9935, predictive_accuracy: 0.9944, prior_entropy: 0.0622, recall: 0.9944, relative_absolute_error: 0.7053, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.8729, scimark_benchmark: 1315.9287, usercpu_time_millis: 12800, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 12610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9854, kappa: 0.2139, kb_relative_information_score: -544130.0835, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9893, predictive_accuracy: 0.9821, prior_entropy: 0.0622, recall: 0.9821, relative_absolute_error: 1.7674, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.117, root_relative_squared_error: 1.3848, scimark_benchmark: 1313.11, usercpu_time_millis: 240, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.9941, kappa: 0.5269, kb_relative_information_score: -145420.9333, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9944, predictive_accuracy: 0.995, prior_entropy: 0.0622, recall: 0.995, relative_absolute_error: 0.568, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.065, root_relative_squared_error: 0.7702, scimark_benchmark: 1322.1893, usercpu_time_millis: 1700, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.9927, kappa: 0.3921, kb_relative_information_score: -289474.9568, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9928, predictive_accuracy: 0.994, prior_entropy: 0.0622, recall: 0.994, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.8925, scimark_benchmark: 1253.0071, usercpu_time_millis: 3630, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.9937, kappa: 0.4776, kb_relative_information_score: 37994.6901, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9944, predictive_accuracy: 0.9949, prior_entropy: 0.0622, recall: 0.9949, relative_absolute_error: 0.3574, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.8485, scimark_benchmark: 1327.6635, usercpu_time_millis: 54800, usercpu_time_millis_testing: 11490, usercpu_time_millis_training: 43310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.9937, kappa: 0.4776, kb_relative_information_score: 37994.6901, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9944, predictive_accuracy: 0.9949, prior_entropy: 0.0622, recall: 0.9949, relative_absolute_error: 0.3574, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.8485, scimark_benchmark: 1347.7267, usercpu_time_millis: 54800, usercpu_time_millis_testing: 14050, usercpu_time_millis_training: 40750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.9238, kappa: 0.07, kb_relative_information_score: -1372932.4771, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9916, predictive_accuracy: 0.8697, prior_entropy: 0.0622, recall: 0.8697, relative_absolute_error: 9.0503, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.3567, root_relative_squared_error: 4.2237, scimark_benchmark: 1342.6744, usercpu_time_millis: 170, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9854, kappa: 0.2139, kb_relative_information_score: -544130.0835, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9893, predictive_accuracy: 0.9821, prior_entropy: 0.0622, recall: 0.9821, relative_absolute_error: 1.7674, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.117, root_relative_squared_error: 1.3848, scimark_benchmark: 1325.6322, usercpu_time_millis: 270, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.9928, kappa: 0.3857, kb_relative_information_score: -205058.5122, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9935, predictive_accuracy: 0.9943, prior_entropy: 0.0622, recall: 0.9943, relative_absolute_error: 0.7097, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0719, root_relative_squared_error: 0.8511, scimark_benchmark: 1321.8321, usercpu_time_millis: 810, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9854, kappa: 0.2139, kb_relative_information_score: -544130.0835, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9893, predictive_accuracy: 0.9821, prior_entropy: 0.0622, recall: 0.9821, relative_absolute_error: 1.7674, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.117, root_relative_squared_error: 1.3848, scimark_benchmark: 1336.4564, usercpu_time_millis: 210, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.9941, kappa: 0.5269, kb_relative_information_score: -145420.9333, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9944, predictive_accuracy: 0.995, prior_entropy: 0.0622, recall: 0.995, relative_absolute_error: 0.568, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.065, root_relative_squared_error: 0.7702, scimark_benchmark: 1347.7267, usercpu_time_millis: 1900, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.9937, kappa: 0.4776, kb_relative_information_score: 37994.6901, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9944, predictive_accuracy: 0.9949, prior_entropy: 0.0622, recall: 0.9949, relative_absolute_error: 0.3574, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.8485, scimark_benchmark: 1348.2804, usercpu_time_millis: 51390, usercpu_time_millis_testing: 11380, usercpu_time_millis_training: 40010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9854, kappa: 0.2139, kb_relative_information_score: -544130.0835, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9893, predictive_accuracy: 0.9821, prior_entropy: 0.0622, recall: 0.9821, relative_absolute_error: 1.7674, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.117, root_relative_squared_error: 1.3848, scimark_benchmark: 1347.1763, usercpu_time_millis: 220, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9854, kappa: 0.2139, kb_relative_information_score: -544130.0835, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9893, predictive_accuracy: 0.9821, prior_entropy: 0.0622, recall: 0.9821, relative_absolute_error: 1.7674, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.117, root_relative_squared_error: 1.3848, scimark_benchmark: 1260.1387, usercpu_time_millis: 220, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.9934, kappa: 0.4721, kb_relative_information_score: -270906.3997, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9935, predictive_accuracy: 0.9944, prior_entropy: 0.0622, recall: 0.9944, relative_absolute_error: 0.7053, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.8729, scimark_benchmark: 1344.4042, usercpu_time_millis: 13980, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 13800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.9941, kappa: 0.5269, kb_relative_information_score: -145420.9333, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9944, predictive_accuracy: 0.995, prior_entropy: 0.0622, recall: 0.995, relative_absolute_error: 0.568, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.065, root_relative_squared_error: 0.7702, scimark_benchmark: 1322.7257, usercpu_time_millis: 1650, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9936, kappa: 0.4748, kb_relative_information_score: -127807.1349, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.994, predictive_accuracy: 0.9947, prior_entropy: 0.0622, recall: 0.9947, relative_absolute_error: 0.5925, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0691, root_relative_squared_error: 0.8187, scimark_benchmark: 942.9708, usercpu_time_millis: 10910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.9929, kappa: 0.4067, kb_relative_information_score: -203569.3111, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9935, predictive_accuracy: 0.9943, prior_entropy: 0.0622, recall: 0.9943, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.8743, scimark_benchmark: 1384.4422, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9854, kappa: 0.2139, kb_relative_information_score: -544130.0835, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9893, predictive_accuracy: 0.9821, prior_entropy: 0.0622, recall: 0.9821, relative_absolute_error: 1.7674, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.117, root_relative_squared_error: 1.3848, scimark_benchmark: 1341.5795, usercpu_time_millis: 250, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.9238, kappa: 0.07, kb_relative_information_score: -1372932.4771, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9916, predictive_accuracy: 0.8697, prior_entropy: 0.0622, recall: 0.8697, relative_absolute_error: 9.0503, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.3567, root_relative_squared_error: 4.2237, scimark_benchmark: 938.0414, usercpu_time_millis: 220, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9854, kappa: 0.2139, kb_relative_information_score: -544130.0835, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9893, predictive_accuracy: 0.9821, prior_entropy: 0.0622, recall: 0.9821, relative_absolute_error: 1.7674, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.117, root_relative_squared_error: 1.3848, scimark_benchmark: 938.0414, usercpu_time_millis: 400, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9854, kappa: 0.2139, kb_relative_information_score: -544130.0835, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9893, predictive_accuracy: 0.9821, prior_entropy: 0.0622, recall: 0.9821, relative_absolute_error: 1.7674, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.117, root_relative_squared_error: 1.3848, scimark_benchmark: 1288.1375, usercpu_time_millis: 280, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9927, kappa: 0.3844, kb_relative_information_score: -248936.5903, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9936, predictive_accuracy: 0.9943, prior_entropy: 0.0622, recall: 0.9943, relative_absolute_error: 0.7672, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.8637, scimark_benchmark: 1345.7204, usercpu_time_millis: 10120, usercpu_time_millis_testing: 690, usercpu_time_millis_training: 9430,

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