Task
Supervised Classification on pendigits

Supervised Classification on pendigits

Task 32 Supervised Classification pendigits 23515 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.7536, kappa: 0.7303, kb_relative_information_score: 6731.7749, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7623, predictive_accuracy: 0.7574, prior_entropy: 3.3208, recall: 0.7574, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6742, scimark_benchmark: 1370.8362, usercpu_time_millis: 4070, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.7536, kappa: 0.7303, kb_relative_information_score: 6731.7749, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7623, predictive_accuracy: 0.7574, prior_entropy: 3.3208, recall: 0.7574, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6742, scimark_benchmark: 1251.195, usercpu_time_millis: 3790, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.7536, kappa: 0.7303, kb_relative_information_score: 6731.7749, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7623, predictive_accuracy: 0.7574, prior_entropy: 3.3208, recall: 0.7574, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6742, scimark_benchmark: 1293.2689, usercpu_time_millis: 4220, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.7536, kappa: 0.7303, kb_relative_information_score: 6731.7749, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7623, predictive_accuracy: 0.7574, prior_entropy: 3.3208, recall: 0.7574, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6742, scimark_benchmark: 1222.4402, usercpu_time_millis: 4470, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.7536, kappa: 0.7303, kb_relative_information_score: 6731.7749, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7623, predictive_accuracy: 0.7574, prior_entropy: 3.3208, recall: 0.7574, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6742, scimark_benchmark: 1268.3957, usercpu_time_millis: 4350, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.7536, kappa: 0.7303, kb_relative_information_score: 6731.7749, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7623, predictive_accuracy: 0.7574, prior_entropy: 3.3208, recall: 0.7574, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6742, scimark_benchmark: 1332.6972, usercpu_time_millis: 3580, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.7536, kappa: 0.7303, kb_relative_information_score: 6731.7749, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7623, predictive_accuracy: 0.7574, prior_entropy: 3.3208, recall: 0.7574, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6742, scimark_benchmark: 1293.9007, usercpu_time_millis: 3790, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.7536, kappa: 0.7303, kb_relative_information_score: 6731.7749, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7623, predictive_accuracy: 0.7574, prior_entropy: 3.3208, recall: 0.7574, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6742, scimark_benchmark: 1298.0345, usercpu_time_millis: 3740, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.7536, kappa: 0.7303, kb_relative_information_score: 6731.7749, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7623, predictive_accuracy: 0.7574, prior_entropy: 3.3208, recall: 0.7574, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6742, scimark_benchmark: 1388.8024, usercpu_time_millis: 3710, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.7536, kappa: 0.7303, kb_relative_information_score: 6731.7749, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7623, predictive_accuracy: 0.7574, prior_entropy: 3.3208, recall: 0.7574, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6742, scimark_benchmark: 1500.3198, usercpu_time_millis: 3660, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.7536, kappa: 0.7303, kb_relative_information_score: 6731.7749, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7623, predictive_accuracy: 0.7574, prior_entropy: 3.3208, recall: 0.7574, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6742, scimark_benchmark: 1338.8046, usercpu_time_millis: 4180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.7536, kappa: 0.7303, kb_relative_information_score: 6731.7749, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7623, predictive_accuracy: 0.7574, prior_entropy: 3.3208, recall: 0.7574, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6742, scimark_benchmark: 1538.5801, usercpu_time_millis: 3900, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.7536, kappa: 0.7303, kb_relative_information_score: 6731.7749, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7623, predictive_accuracy: 0.7574, prior_entropy: 3.3208, recall: 0.7574, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6742, scimark_benchmark: 1271.6723, usercpu_time_millis: 3650, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.7536, kappa: 0.7303, kb_relative_information_score: 6731.7749, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7623, predictive_accuracy: 0.7574, prior_entropy: 3.3208, recall: 0.7574, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6742, scimark_benchmark: 1262.5133, usercpu_time_millis: 4190, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.7536, kappa: 0.7303, kb_relative_information_score: 6731.7749, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7623, predictive_accuracy: 0.7574, prior_entropy: 3.3208, recall: 0.7574, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6742, scimark_benchmark: 1440.3063, usercpu_time_millis: 3600, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.7536, kappa: 0.7303, kb_relative_information_score: 6731.7749, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7623, predictive_accuracy: 0.7574, prior_entropy: 3.3208, recall: 0.7574, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6742, scimark_benchmark: 1404.8193, usercpu_time_millis: 3530, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.7536, kappa: 0.7303, kb_relative_information_score: 6731.7749, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7623, predictive_accuracy: 0.7574, prior_entropy: 3.3208, recall: 0.7574, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6742, scimark_benchmark: 1409.5179, usercpu_time_millis: 3650, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.7536, kappa: 0.7303, kb_relative_information_score: 6731.7749, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7623, predictive_accuracy: 0.7574, prior_entropy: 3.3208, recall: 0.7574, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6742, scimark_benchmark: 1339.4038, usercpu_time_millis: 3170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.7536, kappa: 0.7303, kb_relative_information_score: 6731.7749, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7623, predictive_accuracy: 0.7574, prior_entropy: 3.3208, recall: 0.7574, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6742, scimark_benchmark: 1368.5389, usercpu_time_millis: 3310, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.0355, kappa: -0.0004, kb_relative_information_score: 0.9757, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.0216, predictive_accuracy: 0.1037, prior_entropy: 3.3208, recall: 0.1037, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1526.6329, usercpu_time_millis: 420, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6605, f_measure: 0.3566, kappa: 0.3211, kb_relative_information_score: 3959.6087, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.3661, predictive_accuracy: 0.39, prior_entropy: 3.3208, recall: 0.39, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3493, root_relative_squared_error: 1.1644, scimark_benchmark: 1428.0496, usercpu_time_millis: 420, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.0722, kappa: 0.1117, kb_relative_information_score: 2439.2433, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.0442, predictive_accuracy: 0.2041, prior_entropy: 3.3208, recall: 0.2041, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.9608, scimark_benchmark: 1359.8417, usercpu_time_millis: 500, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.975, kappa: 0.9722, kb_relative_information_score: 10521.968, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.975, predictive_accuracy: 0.975, prior_entropy: 3.3208, recall: 0.975, relative_absolute_error: 0.0785, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0683, root_relative_squared_error: 0.2276, scimark_benchmark: 1424.6178, usercpu_time_millis: 1350, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.7536, kappa: 0.7303, kb_relative_information_score: 6731.7749, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7623, predictive_accuracy: 0.7574, prior_entropy: 3.3208, recall: 0.7574, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6742, scimark_benchmark: 1463.8487, usercpu_time_millis: 2930, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.8765, kappa: 0.8645, kb_relative_information_score: 9679.4125, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.883, predictive_accuracy: 0.8781, prior_entropy: 3.3208, recall: 0.8781, relative_absolute_error: 0.144, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.4749, scimark_benchmark: 1368.6989, usercpu_time_millis: 550, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9693, kappa: 0.9659, kb_relative_information_score: 3279.2003, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9693, predictive_accuracy: 0.9693, prior_entropy: 3.3208, recall: 0.9693, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.9071, scimark_benchmark: 1444.1115, usercpu_time_millis: 1380, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.8944, kappa: 0.8841, kb_relative_information_score: 3207.5478, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8991, predictive_accuracy: 0.8957, prior_entropy: 3.3208, recall: 0.8957, relative_absolute_error: 0.8931, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.911, scimark_benchmark: 1411.7584, usercpu_time_millis: 84730, usercpu_time_millis_testing: 36530, usercpu_time_millis_training: 48200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9573, kappa: 0.9526, kb_relative_information_score: 10457.2467, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9574, predictive_accuracy: 0.9573, prior_entropy: 3.3208, recall: 0.9573, relative_absolute_error: 0.0586, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.301, scimark_benchmark: 1302.6113, usercpu_time_millis: 5860, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 5830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9746, kappa: 0.9718, kb_relative_information_score: 10717.4646, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9748, predictive_accuracy: 0.9746, prior_entropy: 3.3208, recall: 0.9746, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.062, root_relative_squared_error: 0.2068, scimark_benchmark: 1351.3544, usercpu_time_millis: 630, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9916, kappa: 0.9907, kb_relative_information_score: 10891.4433, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 3.3208, recall: 0.9916, relative_absolute_error: 0.0103, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0409, root_relative_squared_error: 0.1363, scimark_benchmark: 1333.6246, usercpu_time_millis: 14720, usercpu_time_millis_testing: 7470, usercpu_time_millis_training: 7250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.989, kappa: 0.9878, kb_relative_information_score: 10871.4869, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 3.3208, recall: 0.989, relative_absolute_error: 0.0124, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.045, root_relative_squared_error: 0.1501, scimark_benchmark: 1387.0168, usercpu_time_millis: 3980, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 3800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8299, kappa: 0.8162, kb_relative_information_score: 6459.4331, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8344, predictive_accuracy: 0.8346, prior_entropy: 3.3208, recall: 0.8346, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6741, scimark_benchmark: 1566.1572, usercpu_time_millis: 7500, usercpu_time_millis_testing: 2180, usercpu_time_millis_training: 5320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.3605, kappa: 0.3161, kb_relative_information_score: 3910.044, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.3674, predictive_accuracy: 0.3854, prior_entropy: 3.3208, recall: 0.3854, relative_absolute_error: 0.683, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3506, root_relative_squared_error: 1.1688, scimark_benchmark: 1528.5237, usercpu_time_millis: 430, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 420,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9919, kappa: 0.991, kb_relative_information_score: 10903.7591, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 3.3208, recall: 0.9919, relative_absolute_error: 0.009, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0383, root_relative_squared_error: 0.1278, scimark_benchmark: 1612.9751, usercpu_time_millis: 923480, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 923220,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9939, kappa: 0.9932, kb_relative_information_score: 10917.6087, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 3.3208, recall: 0.9939, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0349, root_relative_squared_error: 0.1163, scimark_benchmark: 1361.2024, usercpu_time_millis: 7730, usercpu_time_millis_testing: 7730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9649, kappa: 0.961, kb_relative_information_score: 10548.673, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 3.3208, recall: 0.9649, relative_absolute_error: 0.0491, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.082, root_relative_squared_error: 0.2734, scimark_benchmark: 1394.3661, usercpu_time_millis: 5920, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9914, kappa: 0.9905, kb_relative_information_score: 10677.7635, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9915, predictive_accuracy: 0.9914, prior_entropy: 3.3208, recall: 0.9914, relative_absolute_error: 0.0594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.163, scimark_benchmark: 1610.5405, usercpu_time_millis: 4260, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 3890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9808, kappa: 0.9787, kb_relative_information_score: 10783.685, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9809, predictive_accuracy: 0.9808, prior_entropy: 3.3208, recall: 0.9808, relative_absolute_error: 0.0262, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.1823, scimark_benchmark: 1449.7978, usercpu_time_millis: 340, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9939, kappa: 0.9932, kb_relative_information_score: 10917.6087, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 3.3208, recall: 0.9939, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0349, root_relative_squared_error: 0.1163, scimark_benchmark: 1504.2964, usercpu_time_millis: 13590, usercpu_time_millis_testing: 6750, usercpu_time_millis_training: 6840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9895, kappa: 0.9884, kb_relative_information_score: 10880.6264, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9896, predictive_accuracy: 0.9895, prior_entropy: 3.3208, recall: 0.9895, relative_absolute_error: 0.0114, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0433, root_relative_squared_error: 0.1443, scimark_benchmark: 1358.3031, usercpu_time_millis: 4620, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 4410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.994, kappa: 0.9933, kb_relative_information_score: 10923.1262, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 3.3208, recall: 0.994, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0339, root_relative_squared_error: 0.1131, scimark_benchmark: 1427.3023, usercpu_time_millis: 1189320, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 1189010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8545, kappa: 0.8417, kb_relative_information_score: 6979.5186, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8639, predictive_accuracy: 0.8575, prior_entropy: 3.3208, recall: 0.8575, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.6294, scimark_benchmark: 1391.6209, usercpu_time_millis: 10970, usercpu_time_millis_testing: 3250, usercpu_time_millis_training: 7720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.3605, kappa: 0.3161, kb_relative_information_score: 3910.044, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.3674, predictive_accuracy: 0.3854, prior_entropy: 3.3208, recall: 0.3854, relative_absolute_error: 0.683, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3506, root_relative_squared_error: 1.1688, scimark_benchmark: 1472.9755, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9574, kappa: 0.9526, kb_relative_information_score: 10502.3769, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9574, predictive_accuracy: 0.9573, prior_entropy: 3.3208, recall: 0.9573, relative_absolute_error: 0.0474, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.308, scimark_benchmark: 1423.0557, usercpu_time_millis: 180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9889, kappa: 0.9877, kb_relative_information_score: 10866.7399, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 3.3208, recall: 0.9889, relative_absolute_error: 0.0137, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0444, root_relative_squared_error: 0.1481, scimark_benchmark: 1484.8126, usercpu_time_millis: 1490, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7154, f_measure: 0.0755, kappa: 0.1135, kb_relative_information_score: 2438.3167, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.0554, predictive_accuracy: 0.2057, prior_entropy: 3.3208, recall: 0.2057, relative_absolute_error: 0.9226, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.288, root_relative_squared_error: 0.9601, scimark_benchmark: 1443.8974, usercpu_time_millis: 400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9937, kappa: 0.993, kb_relative_information_score: 10923.2127, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 3.3208, recall: 0.9937, relative_absolute_error: 0.0088, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0316, root_relative_squared_error: 0.1055, scimark_benchmark: 1424.5693, usercpu_time_millis: 80170, usercpu_time_millis_testing: 80140, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9795, kappa: 0.9773, kb_relative_information_score: 10672.1253, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9796, predictive_accuracy: 0.9795, prior_entropy: 3.3208, recall: 0.9795, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0594, root_relative_squared_error: 0.1981, scimark_benchmark: 1489.5871, usercpu_time_millis: 2990, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 2860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9843, kappa: 0.9826, kb_relative_information_score: 10664.3978, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9844, predictive_accuracy: 0.9844, prior_entropy: 3.3208, recall: 0.9844, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1863, scimark_benchmark: 1529.4751, usercpu_time_millis: 48390, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 48240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9897, kappa: 0.9886, kb_relative_information_score: 10855.6768, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 3.3208, recall: 0.9897, relative_absolute_error: 0.0202, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0406, root_relative_squared_error: 0.1354, scimark_benchmark: 1447.8647, usercpu_time_millis: 1278530, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 1278200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.5944, kappa: 0.6086, kb_relative_information_score: 4902.3166, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7066, predictive_accuracy: 0.6482, prior_entropy: 3.3208, recall: 0.6482, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.8319, scimark_benchmark: 1483.5806, usercpu_time_millis: 3185200, usercpu_time_millis_testing: 3185190, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.854, kappa: 0.8412, kb_relative_information_score: 9393.5169, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8638, predictive_accuracy: 0.8571, prior_entropy: 3.3208, recall: 0.8571, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.5313, scimark_benchmark: 1327.8727, usercpu_time_millis: 5860, usercpu_time_millis_testing: 5600, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.3661, kappa: 0.3352, kb_relative_information_score: 4650.7295, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.3802, predictive_accuracy: 0.4027, prior_entropy: 3.3208, recall: 0.4027, relative_absolute_error: 0.6825, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3016, root_relative_squared_error: 1.0055, scimark_benchmark: 1388.0638, usercpu_time_millis: 270, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9881, kappa: 0.9868, kb_relative_information_score: 10654.9036, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 3.3208, recall: 0.9881, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0564, root_relative_squared_error: 0.1881, scimark_benchmark: 1384.2091, usercpu_time_millis: 790, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8545, kappa: 0.8417, kb_relative_information_score: 9388.8661, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8639, predictive_accuracy: 0.8575, prior_entropy: 3.3208, recall: 0.8575, relative_absolute_error: 0.1689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.5336, scimark_benchmark: 1324.3551, usercpu_time_millis: 550, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9911, kb_relative_information_score: 10905.139, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 3.3208, recall: 0.992, relative_absolute_error: 0.0107, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0359, root_relative_squared_error: 0.1196, scimark_benchmark: 1431.8204, usercpu_time_millis: 520780, usercpu_time_millis_testing: 520770, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.5936, kappa: 0.6071, kb_relative_information_score: 4865.64, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7274, predictive_accuracy: 0.6468, prior_entropy: 3.3208, recall: 0.6468, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.251, root_relative_squared_error: 0.8369, scimark_benchmark: 1404.2576, usercpu_time_millis: 339660, usercpu_time_millis_testing: 339660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9691, kappa: 0.9656, kb_relative_information_score: 10625.773, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9691, predictive_accuracy: 0.9691, prior_entropy: 3.3208, recall: 0.9691, relative_absolute_error: 0.038, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0773, root_relative_squared_error: 0.2578, scimark_benchmark: 1418.3156, usercpu_time_millis: 3720790, usercpu_time_millis_testing: 3720790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9565, kappa: 0.9516, kb_relative_information_score: 10491.8973, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9565, predictive_accuracy: 0.9564, prior_entropy: 3.3208, recall: 0.9564, relative_absolute_error: 0.0484, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.3109, scimark_benchmark: 1385.8002, usercpu_time_millis: 959200, usercpu_time_millis_testing: 959200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.98, kappa: 0.9778, kb_relative_information_score: 10584.4843, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 3.3208, recall: 0.98, relative_absolute_error: 0.0702, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0633, root_relative_squared_error: 0.2109, scimark_benchmark: 1367.179, usercpu_time_millis: 3950, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 3840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.0355, kappa: -0.0004, kb_relative_information_score: 0.9757, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.0216, predictive_accuracy: 0.1037, prior_entropy: 3.3208, recall: 0.1037, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1354.966, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9772, kappa: 0.9747, kb_relative_information_score: 10213.8883, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9774, predictive_accuracy: 0.9773, prior_entropy: 3.3208, recall: 0.9773, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.2628, scimark_benchmark: 1318.9933, usercpu_time_millis: 720, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.8948, kappa: 0.8837, kb_relative_information_score: 9857.3815, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8994, predictive_accuracy: 0.8954, prior_entropy: 3.3208, recall: 0.8954, relative_absolute_error: 0.1265, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.4388, scimark_benchmark: 1383.6082, usercpu_time_millis: 76090, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 75820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 10626.9058, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9696, predictive_accuracy: 0.9696, prior_entropy: 3.3208, recall: 0.9696, relative_absolute_error: 0.0375, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.2565, scimark_benchmark: 1294.4274, usercpu_time_millis: 1230, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.0722, kappa: 0.1117, kb_relative_information_score: 2439.2433, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.0442, predictive_accuracy: 0.2041, prior_entropy: 3.3208, recall: 0.2041, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.9608, scimark_benchmark: 1328.7918, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,

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