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: 0.7821, build_cpu_time: 55.7425, build_memory: 436558910.0101, f_measure: 0.9926, kappa: 0.3684, kb_relative_information_score: 32856.3475, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9932, predictive_accuracy: 0.9941, prior_entropy: 0.0622, recall: 0.9941, relative_absolute_error: 0.4084, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.892, scimark_benchmark: 945.8914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, build_cpu_time: 29.0053, build_memory: 836527372.91, f_measure: 0.993, kappa: 0.412, kb_relative_information_score: 30731.6198, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9936, predictive_accuracy: 0.9944, prior_entropy: 0.0622, recall: 0.9944, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.8834, scimark_benchmark: 944.2629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, build_cpu_time: 135.8223, build_memory: 1525501423.0662, f_measure: 0.9937, kappa: 0.4795, kb_relative_information_score: 36497.8117, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9941, predictive_accuracy: 0.9948, prior_entropy: 0.0622, recall: 0.9948, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0712, root_relative_squared_error: 0.8431, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, build_cpu_time: 12.452, build_memory: 1159870987.2194, f_measure: 0.9928, kappa: 0.3925, kb_relative_information_score: -120810.2706, mean_absolute_error: 0.0095, 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: 0.6646, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.8377, scimark_benchmark: 899.1472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, build_cpu_time: 5.0865, build_memory: 239479893.8875, f_measure: 0.9928, kappa: 0.3912, kb_relative_information_score: -109196.1095, mean_absolute_error: 0.0095, 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: 0.6602, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0709, root_relative_squared_error: 0.8399, scimark_benchmark: 931.3458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, build_cpu_time: 5.4164, build_memory: 357435530.8457, f_measure: 0.9928, kappa: 0.3912, kb_relative_information_score: -109196.1095, mean_absolute_error: 0.0095, 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: 0.6602, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0709, root_relative_squared_error: 0.8399, scimark_benchmark: 947.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, build_cpu_time: 42.7274, build_memory: 163556753.8156, f_measure: 0.9928, kappa: 0.3894, kb_relative_information_score: -128113.0508, mean_absolute_error: 0.0095, 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: 0.6634, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.8349, scimark_benchmark: 943.2899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, build_cpu_time: 42.8148, build_memory: 161002936.1, f_measure: 0.9928, kappa: 0.3894, kb_relative_information_score: -128113.0508, mean_absolute_error: 0.0095, 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: 0.6634, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.8349, scimark_benchmark: 940.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, build_cpu_time: 179.3884, build_memory: 492123266.3326, f_measure: 0.9927, kappa: 0.3844, kb_relative_information_score: -72422.0677, mean_absolute_error: 0.0096, 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: 0.6667, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.8329, scimark_benchmark: 916.2035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, build_cpu_time: 19.9056, build_memory: 395962363.9653, f_measure: 0.9928, kappa: 0.3912, kb_relative_information_score: -125697.4676, mean_absolute_error: 0.0095, 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: 0.6622, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0706, root_relative_squared_error: 0.836, scimark_benchmark: 947.2614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, build_cpu_time: 75.3169, build_memory: 199366942.1141, f_measure: 0.9928, kappa: 0.388, kb_relative_information_score: -77146.809, mean_absolute_error: 0.0096, 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: 0.6653, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.8329, scimark_benchmark: 938.6405,
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: 1351.788, usercpu_time_millis: 3390, usercpu_time_millis_training: 3390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.9929, kappa: 0.4293, kb_relative_information_score: -262695.3689, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9927, predictive_accuracy: 0.9939, prior_entropy: 0.0622, recall: 0.9939, relative_absolute_error: 1.0121, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0892, root_relative_squared_error: 1.0563, scimark_benchmark: 1342.1678, usercpu_time_millis: 8120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 8100,
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: 0.9262, 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: 0.9047, 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: 0.7837, f_measure: 0.9939, kappa: 0.5484, kb_relative_information_score: -10631.5771, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9937, predictive_accuracy: 0.9943, prior_entropy: 0.0622, recall: 0.9943, relative_absolute_error: 0.4822, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.8956, scimark_benchmark: 1316.0472, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 1309.3173, usercpu_time_millis: 1870, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.993, kappa: 0.4134, kb_relative_information_score: -133555.3683, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9933, predictive_accuracy: 0.9943, prior_entropy: 0.0622, recall: 0.9943, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.8706, scimark_benchmark: 889.3151, usercpu_time_millis: 11610, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 11550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4881, f_measure: 0.9892, kb_relative_information_score: -6192.3105, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0845, root_relative_squared_error: 1, scimark_benchmark: 1358.4955, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.9894, kappa: 0.0282, kb_relative_information_score: -337361.2944, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9896, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.8622, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.9332, scimark_benchmark: 1333.5799, usercpu_time_millis: 1020, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.9909, kappa: 0.1911, kb_relative_information_score: -282915.9848, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9919, predictive_accuracy: 0.9934, prior_entropy: 0.0622, recall: 0.9934, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.9105, scimark_benchmark: 916.6405, usercpu_time_millis: 2850, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.9922, kappa: 0.3347, kb_relative_information_score: -198544.1493, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9928, predictive_accuracy: 0.9939, prior_entropy: 0.0622, recall: 0.9939, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.8906, scimark_benchmark: 1335.643, usercpu_time_millis: 4580, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.9927, kappa: 0.4363, kb_relative_information_score: -108329.5553, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9923, predictive_accuracy: 0.9934, prior_entropy: 0.0622, recall: 0.9934, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.9347, scimark_benchmark: 1337.446, usercpu_time_millis: 510, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.9927, kappa: 0.3894, kb_relative_information_score: -168479.4627, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9931, predictive_accuracy: 0.9942, prior_entropy: 0.0622, recall: 0.9942, relative_absolute_error: 0.7445, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0751, root_relative_squared_error: 0.8891, scimark_benchmark: 1073.494, usercpu_time_millis: 2050, usercpu_time_millis_training: 2050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, f_measure: 0.9927, kappa: 0.3821, kb_relative_information_score: 31251.881, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9934, predictive_accuracy: 0.9942, prior_entropy: 0.0622, recall: 0.9942, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.8985, scimark_benchmark: 1384.4418, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5753, f_measure: 0.9911, kappa: 0.2361, kb_relative_information_score: 18337.6874, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9908, predictive_accuracy: 0.993, prior_entropy: 0.0622, recall: 0.993, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.9872, scimark_benchmark: 1442.7264, usercpu_time_millis: 37250, usercpu_time_millis_testing: 6360, usercpu_time_millis_training: 30890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.9921, kappa: 0.4081, kb_relative_information_score: 13194.867, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9917, predictive_accuracy: 0.9926, prior_entropy: 0.0622, recall: 0.9926, relative_absolute_error: 0.5169, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0862, root_relative_squared_error: 1.0204, scimark_benchmark: 1353.6735, usercpu_time_millis: 7130, usercpu_time_millis_testing: 3240, usercpu_time_millis_training: 3890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, build_cpu_time: 2121.7223, build_memory: 321385220.5571, f_measure: 0.9932, kappa: 0.4405, kb_relative_information_score: -2618319.083, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9934, predictive_accuracy: 0.9944, prior_entropy: 0.0622, recall: 0.9944, relative_absolute_error: 2.4447, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.8789, scimark_benchmark: 944.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, build_cpu_time: 279.2758, build_memory: 1489546502.1081, f_measure: 0.9937, kappa: 0.4779, kb_relative_information_score: 38750.217, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9941, predictive_accuracy: 0.9948, prior_entropy: 0.0622, recall: 0.9948, relative_absolute_error: 0.3731, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.8446, scimark_benchmark: 945.2151,
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: 1321.8733, usercpu_time_millis: 780, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9927, kappa: 0.3844, kb_relative_information_score: -228862.0671, mean_absolute_error: 0.0102, 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: 0.7098, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0709, root_relative_squared_error: 0.8401, scimark_benchmark: 918.0213, usercpu_time_millis: 19290, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 19160,
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: 1354.3488, usercpu_time_millis: 1860, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1720,
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: 933.1165, usercpu_time_millis: 340, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 140,
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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: 1384.4422, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9892, kb_relative_information_score: 15823.4196, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0848, root_relative_squared_error: 1.0036, scimark_benchmark: 922.1419, usercpu_time_millis: 7100, usercpu_time_millis_testing: 1450, usercpu_time_millis_training: 5650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9892, kb_relative_information_score: 15823.4196, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0848, root_relative_squared_error: 1.0036, scimark_benchmark: 869.6028, usercpu_time_millis: 1560, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9892, kappa: -0, kb_relative_information_score: 15594.8498, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5015, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0849, root_relative_squared_error: 1.0051, scimark_benchmark: 944.5495, usercpu_time_millis: 2260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.9929, kappa: 0.4306, kb_relative_information_score: -46790.1878, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9927, predictive_accuracy: 0.9939, prior_entropy: 0.0622, recall: 0.9939, relative_absolute_error: 0.5722, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.8621, scimark_benchmark: 1318.1432, usercpu_time_millis: 19630, usercpu_time_millis_testing: 19630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.9942, kappa: 0.5567, kb_relative_information_score: -11189.2011, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9941, predictive_accuracy: 0.9948, prior_entropy: 0.0622, recall: 0.9948, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0709, root_relative_squared_error: 0.8393, scimark_benchmark: 1119.7102, usercpu_time_millis: 1183990, usercpu_time_millis_testing: 1183990,
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: 1328.941, usercpu_time_millis: 860, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.9892, kb_relative_information_score: -326209.0859, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.9799, scimark_benchmark: 1340.1351, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.9892, kb_relative_information_score: 228.5122, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0845, root_relative_squared_error: 1, scimark_benchmark: 1367.8403, usercpu_time_millis: 500, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.9803, kappa: 0.0581, kb_relative_information_score: -184975.148, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9868, predictive_accuracy: 0.9743, prior_entropy: 0.0622, recall: 0.9743, relative_absolute_error: 1.792, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.1605, root_relative_squared_error: 1.8999, scimark_benchmark: 1347.7065, usercpu_time_millis: 1860, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.9928, kappa: 0.397, kb_relative_information_score: -90835.0639, mean_absolute_error: 0.0098, 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: 0.6805, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.8812, scimark_benchmark: 932.0242, usercpu_time_millis: 480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 470,
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: 933.1165, usercpu_time_millis: 370, usercpu_time_millis_testing: 210, 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: 1393.8432, usercpu_time_millis: 220, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.9926, kappa: 0.3986, kb_relative_information_score: -257459.3258, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9925, predictive_accuracy: 0.9939, prior_entropy: 0.0622, recall: 0.9939, relative_absolute_error: 0.8034, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0778, root_relative_squared_error: 0.9215, scimark_benchmark: 1313.5726, usercpu_time_millis: 940, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.9645, kappa: 0.1189, kb_relative_information_score: -560348.5953, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9903, predictive_accuracy: 0.943, prior_entropy: 0.0622, recall: 0.943, relative_absolute_error: 3.9973, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.2373, root_relative_squared_error: 2.8099, scimark_benchmark: 1334.8495, usercpu_time_millis: 280, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 100,
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: 1334.8495, usercpu_time_millis: 180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9892, kappa: -0, kb_relative_information_score: 15594.8498, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5015, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0849, root_relative_squared_error: 1.0051, scimark_benchmark: 889.3151, usercpu_time_millis: 1170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.9634, kappa: 0.1174, kb_relative_information_score: -585590.353, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9904, predictive_accuracy: 0.9409, prior_entropy: 0.0622, recall: 0.9409, relative_absolute_error: 4.1272, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.2406, root_relative_squared_error: 2.8493, scimark_benchmark: 1358.4523, usercpu_time_millis: 220, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.9925, kappa: 0.3739, kb_relative_information_score: -1947.1622, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9925, predictive_accuracy: 0.9939, prior_entropy: 0.0622, recall: 0.9939, relative_absolute_error: 0.7779, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.9129, scimark_benchmark: 1292.1375, usercpu_time_millis: 370, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.9897, kappa: 0.2845, kb_relative_information_score: -1242634.5039, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9898, predictive_accuracy: 0.9897, prior_entropy: 0.0622, recall: 0.9897, relative_absolute_error: 2.678, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.1177, root_relative_squared_error: 1.3935, scimark_benchmark: 1330.7266, usercpu_time_millis: 174600, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 174490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.9925, kappa: 0.3739, kb_relative_information_score: -1947.1622, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9925, predictive_accuracy: 0.9939, prior_entropy: 0.0622, recall: 0.9939, relative_absolute_error: 0.7779, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.9129, scimark_benchmark: 905.1217, usercpu_time_millis: 470, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 430,
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: 0.9262, 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: 0.9248, 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: 0.9463, 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: 0.9251, 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: 0.6645, 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: 0.834, f_measure: 0.9892, kb_relative_information_score: 15782.799, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0847, root_relative_squared_error: 1.0029, scimark_benchmark: 940.0055, usercpu_time_millis: 1530, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.9892, kb_relative_information_score: 15819.8594, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 94660, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0848, root_relative_squared_error: 1.0036, scimark_benchmark: 938.3115, usercpu_time_millis: 700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 690,

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