Task
Supervised Classification on ailerons

Supervised Classification on ailerons

Task 4305 Supervised Classification ailerons 200 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8575, kappa: 0.7081, kb_relative_information_score: 83845.1388, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8574, predictive_accuracy: 0.8575, prior_entropy: 0.9832, recall: 0.8575, relative_absolute_error: 0.4144, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.6796, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8566, kappa: 0.7062, kb_relative_information_score: 65852.8465, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8566, predictive_accuracy: 0.8568, prior_entropy: 0.9832, recall: 0.8568, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6776, scimark_benchmark: 972.587, usercpu_time_millis: 7510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8526, kappa: 0.6976, kb_relative_information_score: 80064.7366, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8526, predictive_accuracy: 0.853, prior_entropy: 0.9832, recall: 0.853, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.6471, scimark_benchmark: 934.3687, usercpu_time_millis: 10190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.7039, kappa: 0.3911, kb_relative_information_score: 55838.1487, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.7138, predictive_accuracy: 0.7129, prior_entropy: 0.9832, recall: 0.7129, relative_absolute_error: 0.5878, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.0843, scimark_benchmark: 931.771, usercpu_time_millis: 253670, usercpu_time_millis_testing: 67910, usercpu_time_millis_training: 185760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.7039, kappa: 0.3911, kb_relative_information_score: 55838.1487, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.7138, predictive_accuracy: 0.7129, prior_entropy: 0.9832, recall: 0.7129, relative_absolute_error: 0.5878, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.0843, scimark_benchmark: 944.1067, usercpu_time_millis: 261870, usercpu_time_millis_testing: 73000, usercpu_time_millis_training: 188870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8256, kappa: 0.6419, kb_relative_information_score: 79204.9276, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8256, predictive_accuracy: 0.8262, prior_entropy: 0.9832, recall: 0.8262, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7096, scimark_benchmark: 941.6675, usercpu_time_millis: 690, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.882, kappa: 0.7585, kb_relative_information_score: 92188.0052, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8821, predictive_accuracy: 0.882, prior_entropy: 0.9832, recall: 0.882, relative_absolute_error: 0.348, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5885, scimark_benchmark: 941.6675, usercpu_time_millis: 5760, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 5720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.7833, kappa: 0.5558, kb_relative_information_score: 73002.1833, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.7831, predictive_accuracy: 0.7835, prior_entropy: 0.9832, recall: 0.7835, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.8978, scimark_benchmark: 927.2917, usercpu_time_millis: 40940, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 40810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.7039, kappa: 0.3911, kb_relative_information_score: 55838.1487, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.7138, predictive_accuracy: 0.7129, prior_entropy: 0.9832, recall: 0.7129, relative_absolute_error: 0.5878, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.0843, scimark_benchmark: 938.5498, usercpu_time_millis: 241840, usercpu_time_millis_testing: 59770, usercpu_time_millis_training: 182070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.7039, kappa: 0.3911, kb_relative_information_score: 55838.1487, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.7138, predictive_accuracy: 0.7129, prior_entropy: 0.9832, recall: 0.7129, relative_absolute_error: 0.5878, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.0843, scimark_benchmark: 947.1781, usercpu_time_millis: 255010, usercpu_time_millis_testing: 76130, usercpu_time_millis_training: 178880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.742, kappa: 0.4729, kb_relative_information_score: 63870.9072, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.7427, predictive_accuracy: 0.7416, prior_entropy: 0.9832, recall: 0.7416, relative_absolute_error: 0.5304, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9953, scimark_benchmark: 941.3847, usercpu_time_millis: 330, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8256, kappa: 0.6419, kb_relative_information_score: 79204.9276, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8256, predictive_accuracy: 0.8262, prior_entropy: 0.9832, recall: 0.8262, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7096, scimark_benchmark: 932.438, usercpu_time_millis: 600, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8752, kappa: 0.7444, kb_relative_information_score: 83489.8078, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8751, predictive_accuracy: 0.8752, prior_entropy: 0.9832, recall: 0.8752, relative_absolute_error: 0.4207, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.6076, scimark_benchmark: 937.5117, usercpu_time_millis: 9810, usercpu_time_millis_testing: 860, usercpu_time_millis_training: 8950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.8692, kappa: 0.7316, kb_relative_information_score: 90057.2697, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8691, predictive_accuracy: 0.8694, prior_entropy: 0.9832, recall: 0.8694, relative_absolute_error: 0.3606, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6204, scimark_benchmark: 932.438, usercpu_time_millis: 2540, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8575, kappa: 0.7081, kb_relative_information_score: 83845.1388, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8574, predictive_accuracy: 0.8575, prior_entropy: 0.9832, recall: 0.8575, relative_absolute_error: 0.4144, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.6796, scimark_benchmark: 942.2392, usercpu_time_millis: 440, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8566, kappa: 0.7062, kb_relative_information_score: 65852.8465, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8566, predictive_accuracy: 0.8568, prior_entropy: 0.9832, recall: 0.8568, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6776, scimark_benchmark: 908.9569, usercpu_time_millis: 8160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 8140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8526, kappa: 0.6976, kb_relative_information_score: 80064.7366, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8526, predictive_accuracy: 0.853, prior_entropy: 0.9832, recall: 0.853, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.6471, scimark_benchmark: 936.2574, usercpu_time_millis: 10840, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.8823, kappa: 0.7588, kb_relative_information_score: 93914.1689, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8823, predictive_accuracy: 0.8824, prior_entropy: 0.9832, recall: 0.8824, relative_absolute_error: 0.3328, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.5844, scimark_benchmark: 1051.249, usercpu_time_millis: 3620130, usercpu_time_millis_testing: 48710, usercpu_time_millis_training: 3571420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.7039, kappa: 0.3911, kb_relative_information_score: 55838.1487, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.7138, predictive_accuracy: 0.7129, prior_entropy: 0.9832, recall: 0.7129, relative_absolute_error: 0.5878, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.0843, scimark_benchmark: 931.7096, usercpu_time_millis: 254650, usercpu_time_millis_testing: 66240, usercpu_time_millis_training: 188410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.7039, kappa: 0.3911, kb_relative_information_score: 55838.1487, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.7138, predictive_accuracy: 0.7129, prior_entropy: 0.9832, recall: 0.7129, relative_absolute_error: 0.5878, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.0843, scimark_benchmark: 930.404, usercpu_time_millis: 267040, usercpu_time_millis_testing: 60770, usercpu_time_millis_training: 206270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8256, kappa: 0.6419, kb_relative_information_score: 79204.9276, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8256, predictive_accuracy: 0.8262, prior_entropy: 0.9832, recall: 0.8262, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7096, scimark_benchmark: 930.404, usercpu_time_millis: 670, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8256, kappa: 0.6419, kb_relative_information_score: 79204.9276, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8256, predictive_accuracy: 0.8262, prior_entropy: 0.9832, recall: 0.8262, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7096, scimark_benchmark: 903.2737, usercpu_time_millis: 700, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8256, kappa: 0.6419, kb_relative_information_score: 79204.9276, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8256, predictive_accuracy: 0.8262, prior_entropy: 0.9832, recall: 0.8262, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7096, scimark_benchmark: 930.404, usercpu_time_millis: 660, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.882, kappa: 0.7585, kb_relative_information_score: 92188.0052, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8821, predictive_accuracy: 0.882, prior_entropy: 0.9832, recall: 0.882, relative_absolute_error: 0.348, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5885, scimark_benchmark: 903.2737, usercpu_time_millis: 5200, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 5150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8256, kappa: 0.6419, kb_relative_information_score: 79204.9276, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8256, predictive_accuracy: 0.8262, prior_entropy: 0.9832, recall: 0.8262, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7096, scimark_benchmark: 945.6228, usercpu_time_millis: 620, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8752, kappa: 0.7444, kb_relative_information_score: 83489.8078, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8751, predictive_accuracy: 0.8752, prior_entropy: 0.9832, recall: 0.8752, relative_absolute_error: 0.4207, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.6076, scimark_benchmark: 941.4991, usercpu_time_millis: 10620, usercpu_time_millis_testing: 930, usercpu_time_millis_training: 9690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.8891, kappa: 0.7729, kb_relative_information_score: 91913.4289, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8891, predictive_accuracy: 0.8891, prior_entropy: 0.9832, recall: 0.8891, relative_absolute_error: 0.3541, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.2825, root_relative_squared_error: 0.5716, scimark_benchmark: 870.2101, usercpu_time_millis: 828000, usercpu_time_millis_testing: 172970, usercpu_time_millis_training: 655030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.8878, kappa: 0.7703, kb_relative_information_score: 91872.7309, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8878, predictive_accuracy: 0.8879, prior_entropy: 0.9832, recall: 0.8879, relative_absolute_error: 0.3541, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.5729, scimark_benchmark: 933.4823, usercpu_time_millis: 260500, usercpu_time_millis_testing: 63040, usercpu_time_millis_training: 197460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8865, kappa: 0.7676, kb_relative_information_score: 91829.9509, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8865, predictive_accuracy: 0.8866, prior_entropy: 0.9832, recall: 0.8866, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.5754, scimark_benchmark: 921.466, usercpu_time_millis: 100740, usercpu_time_millis_testing: 15650, usercpu_time_millis_training: 85090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.8847, kappa: 0.7638, kb_relative_information_score: 91699.1865, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8847, predictive_accuracy: 0.8847, prior_entropy: 0.9832, recall: 0.8847, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.5805, scimark_benchmark: 930.2337, usercpu_time_millis: 50920, usercpu_time_millis_testing: 5860, usercpu_time_millis_training: 45060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.882, kappa: 0.7583, kb_relative_information_score: 91580.9641, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.882, predictive_accuracy: 0.8821, prior_entropy: 0.9832, recall: 0.8821, relative_absolute_error: 0.3534, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.5892, scimark_benchmark: 932.4744, usercpu_time_millis: 27640, usercpu_time_millis_testing: 2890, usercpu_time_millis_training: 24750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.8692, kappa: 0.7316, kb_relative_information_score: 90057.2697, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8691, predictive_accuracy: 0.8694, prior_entropy: 0.9832, recall: 0.8694, relative_absolute_error: 0.3606, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6204, scimark_benchmark: 929.0296, usercpu_time_millis: 2600, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.8692, kappa: 0.7316, kb_relative_information_score: 90057.2697, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8691, predictive_accuracy: 0.8694, prior_entropy: 0.9832, recall: 0.8694, relative_absolute_error: 0.3606, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6204, scimark_benchmark: 930.0565, usercpu_time_millis: 3110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3080,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.8692, kappa: 0.7316, kb_relative_information_score: 90057.2697, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8691, predictive_accuracy: 0.8694, prior_entropy: 0.9832, recall: 0.8694, relative_absolute_error: 0.3606, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6204, scimark_benchmark: 941.9549, usercpu_time_millis: 2170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8256, kappa: 0.6419, kb_relative_information_score: 79204.9276, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8256, predictive_accuracy: 0.8262, prior_entropy: 0.9832, recall: 0.8262, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7096, scimark_benchmark: 1336.0954, usercpu_time_millis: 510, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.742, kappa: 0.4729, kb_relative_information_score: 63870.9072, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.7427, predictive_accuracy: 0.7416, prior_entropy: 0.9832, recall: 0.7416, relative_absolute_error: 0.5304, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9953, scimark_benchmark: 929.0363, usercpu_time_millis: 350, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8256, kappa: 0.6419, kb_relative_information_score: 79204.9276, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8256, predictive_accuracy: 0.8262, prior_entropy: 0.9832, recall: 0.8262, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7096, scimark_benchmark: 1324.7884, usercpu_time_millis: 470, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8256, kappa: 0.6419, kb_relative_information_score: 79204.9276, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8256, predictive_accuracy: 0.8262, prior_entropy: 0.9832, recall: 0.8262, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7096, scimark_benchmark: 1303.5632, usercpu_time_millis: 380, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8256, kappa: 0.6419, kb_relative_information_score: 79204.9276, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8256, predictive_accuracy: 0.8262, prior_entropy: 0.9832, recall: 0.8262, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7096, scimark_benchmark: 1347.6543, usercpu_time_millis: 390, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8752, kappa: 0.7444, kb_relative_information_score: 83489.8078, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8751, predictive_accuracy: 0.8752, prior_entropy: 0.9832, recall: 0.8752, relative_absolute_error: 0.4207, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.6076, scimark_benchmark: 1393.8432, usercpu_time_millis: 10750, usercpu_time_millis_testing: 820, usercpu_time_millis_training: 9930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8256, kappa: 0.6419, kb_relative_information_score: 79204.9276, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8256, predictive_accuracy: 0.8262, prior_entropy: 0.9832, recall: 0.8262, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7096, scimark_benchmark: 1340.9749, usercpu_time_millis: 400, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.882, kappa: 0.7585, kb_relative_information_score: 92188.0052, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8821, predictive_accuracy: 0.882, prior_entropy: 0.9832, recall: 0.882, relative_absolute_error: 0.348, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5885, scimark_benchmark: 1340.9749, usercpu_time_millis: 3790, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.8823, kappa: 0.7588, kb_relative_information_score: 93914.1689, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8823, predictive_accuracy: 0.8824, prior_entropy: 0.9832, recall: 0.8824, relative_absolute_error: 0.3328, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.5844, scimark_benchmark: 1278.9821, usercpu_time_millis: 2662240, usercpu_time_millis_testing: 59310, usercpu_time_millis_training: 2602930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.742, kappa: 0.4729, kb_relative_information_score: 63870.9072, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.7427, predictive_accuracy: 0.7416, prior_entropy: 0.9832, recall: 0.7416, relative_absolute_error: 0.5304, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9953, scimark_benchmark: 1306.9281, usercpu_time_millis: 280, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8256, kappa: 0.6419, kb_relative_information_score: 79204.9276, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8256, predictive_accuracy: 0.8262, prior_entropy: 0.9832, recall: 0.8262, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7096, scimark_benchmark: 1366.7181, usercpu_time_millis: 420, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8256, kappa: 0.6419, kb_relative_information_score: 79204.9276, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8256, predictive_accuracy: 0.8262, prior_entropy: 0.9832, recall: 0.8262, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7096, scimark_benchmark: 1350.2591, usercpu_time_millis: 470, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8752, kappa: 0.7444, kb_relative_information_score: 83489.8078, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8751, predictive_accuracy: 0.8752, prior_entropy: 0.9832, recall: 0.8752, relative_absolute_error: 0.4207, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.6076, scimark_benchmark: 1316.5668, usercpu_time_millis: 12210, usercpu_time_millis_testing: 2370, usercpu_time_millis_training: 9840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8256, kappa: 0.6419, kb_relative_information_score: 79204.9276, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8256, predictive_accuracy: 0.8262, prior_entropy: 0.9832, recall: 0.8262, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7096, scimark_benchmark: 1337.9552, usercpu_time_millis: 440, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8256, kappa: 0.6419, kb_relative_information_score: 79204.9276, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8256, predictive_accuracy: 0.8262, prior_entropy: 0.9832, recall: 0.8262, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7096, scimark_benchmark: 1339.2472, usercpu_time_millis: 390, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8752, kappa: 0.7444, kb_relative_information_score: 83489.8078, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8751, predictive_accuracy: 0.8752, prior_entropy: 0.9832, recall: 0.8752, relative_absolute_error: 0.4207, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.6076, scimark_benchmark: 1316.5396, usercpu_time_millis: 8930, usercpu_time_millis_testing: 1520, usercpu_time_millis_training: 7410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8256, kappa: 0.6419, kb_relative_information_score: 79204.9276, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8256, predictive_accuracy: 0.8262, prior_entropy: 0.9832, recall: 0.8262, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7096, scimark_benchmark: 1325.4787, usercpu_time_millis: 400, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8256, kappa: 0.6419, kb_relative_information_score: 79204.9276, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8256, predictive_accuracy: 0.8262, prior_entropy: 0.9832, recall: 0.8262, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7096, scimark_benchmark: 1326.2019, usercpu_time_millis: 380, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8256, kappa: 0.6419, kb_relative_information_score: 79204.9276, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8256, predictive_accuracy: 0.8262, prior_entropy: 0.9832, recall: 0.8262, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7096, scimark_benchmark: 1327.3335, usercpu_time_millis: 480, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.882, kappa: 0.7585, kb_relative_information_score: 92188.0052, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8821, predictive_accuracy: 0.882, prior_entropy: 0.9832, recall: 0.882, relative_absolute_error: 0.348, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5885, scimark_benchmark: 1332.7986, usercpu_time_millis: 4020, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.7833, kappa: 0.5558, kb_relative_information_score: 73002.1833, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.7831, predictive_accuracy: 0.7835, prior_entropy: 0.9832, recall: 0.7835, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.8978, scimark_benchmark: 1335.3312, usercpu_time_millis: 46940, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 46650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8752, kappa: 0.7444, kb_relative_information_score: 83489.8078, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8751, predictive_accuracy: 0.8752, prior_entropy: 0.9832, recall: 0.8752, relative_absolute_error: 0.4207, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.6076, scimark_benchmark: 1330.9181, usercpu_time_millis: 9970, usercpu_time_millis_testing: 1850, usercpu_time_millis_training: 8120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8639, kappa: 0.7212, kb_relative_information_score: 93341.0259, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8639, predictive_accuracy: 0.8639, prior_entropy: 0.9832, recall: 0.8639, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.7003, scimark_benchmark: 1322.0065, usercpu_time_millis: 2570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8526, kappa: 0.6976, kb_relative_information_score: 80064.7366, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8526, predictive_accuracy: 0.853, prior_entropy: 0.9832, recall: 0.853, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.6471, scimark_benchmark: 1318.4315, usercpu_time_millis: 8060, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8814, kappa: 0.757, kb_relative_information_score: 93167.5884, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8813, predictive_accuracy: 0.8814, prior_entropy: 0.9832, recall: 0.8814, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.5865, scimark_benchmark: 1317.7919, usercpu_time_millis: 27840, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 27810,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8256, kappa: 0.6419, kb_relative_information_score: 79204.9276, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8256, predictive_accuracy: 0.8262, prior_entropy: 0.9832, recall: 0.8262, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7096, scimark_benchmark: 1367.3264, usercpu_time_millis: 340, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.882, kappa: 0.7585, kb_relative_information_score: 92188.0052, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8821, predictive_accuracy: 0.882, prior_entropy: 0.9832, recall: 0.882, relative_absolute_error: 0.348, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5885, scimark_benchmark: 1320.1171, usercpu_time_millis: 3520, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8256, kappa: 0.6419, kb_relative_information_score: 79204.9276, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8256, predictive_accuracy: 0.8262, prior_entropy: 0.9832, recall: 0.8262, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7096, scimark_benchmark: 1292.1745, usercpu_time_millis: 500, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8256, kappa: 0.6419, kb_relative_information_score: 79204.9276, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8256, predictive_accuracy: 0.8262, prior_entropy: 0.9832, recall: 0.8262, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7096, scimark_benchmark: 1331.2559, usercpu_time_millis: 390, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8575, kappa: 0.7081, kb_relative_information_score: 83845.1388, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8574, predictive_accuracy: 0.8575, prior_entropy: 0.9832, recall: 0.8575, relative_absolute_error: 0.4144, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.6796, scimark_benchmark: 1344.0499, usercpu_time_millis: 280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8566, kappa: 0.7062, kb_relative_information_score: 65852.8465, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.8566, predictive_accuracy: 0.8568, prior_entropy: 0.9832, recall: 0.8568, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6776, scimark_benchmark: 1364.991, usercpu_time_millis: 3740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.7833, kappa: 0.5558, kb_relative_information_score: 73002.1833, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4884, number_of_instances: 137500, precision: 0.7831, predictive_accuracy: 0.7835, prior_entropy: 0.9832, recall: 0.7835, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.8978, scimark_benchmark: 1318.4315, usercpu_time_millis: 52350, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 52040,

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