OpenML
Supervised Classification on mfeat-pixel

Supervised Classification on mfeat-pixel

Task 1900 Supervised Classification mfeat-pixel 181 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.7875, kappa: 0.7631, kb_relative_information_score: 15615.9302, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7893, predictive_accuracy: 0.7868, prior_entropy: 3.3219, recall: 0.7868, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.6279, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8315, kappa: 0.8128, kb_relative_information_score: 15484.8838, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8344, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.3516, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.5317, scimark_benchmark: 851.2074, usercpu_time_millis: 55840, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 55830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.964, kappa: 0.9598, kb_relative_information_score: 19243.9173, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9644, predictive_accuracy: 0.9639, prior_entropy: 3.3219, recall: 0.9639, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.085, root_relative_squared_error: 0.2834, scimark_benchmark: 931.771, usercpu_time_millis: 30340, usercpu_time_millis_testing: 15350, usercpu_time_millis_training: 14990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.936, kappa: 0.9288, kb_relative_information_score: 18685.4508, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9371, predictive_accuracy: 0.9359, prior_entropy: 3.3219, recall: 0.9359, relative_absolute_error: 0.0711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.111, root_relative_squared_error: 0.37, scimark_benchmark: 941.6675, usercpu_time_millis: 360, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9749, kappa: 0.9722, kb_relative_information_score: 19490.6828, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2288, scimark_benchmark: 938.191, usercpu_time_millis: 9970, usercpu_time_millis_testing: 8720, usercpu_time_millis_training: 1250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.8437, kappa: 0.8263, kb_relative_information_score: 15382.8946, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.844, predictive_accuracy: 0.8437, prior_entropy: 3.3219, recall: 0.8437, relative_absolute_error: 0.3516, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.533, scimark_benchmark: 941.6675, usercpu_time_millis: 1900, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9749, kappa: 0.9722, kb_relative_information_score: 19490.6828, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2288, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.962, kappa: 0.9578, kb_relative_information_score: 15244.4549, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9623, predictive_accuracy: 0.962, prior_entropy: 3.3219, recall: 0.962, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.4938, scimark_benchmark: 931.771, usercpu_time_millis: 910, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.964, kappa: 0.9598, kb_relative_information_score: 19243.9173, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9644, predictive_accuracy: 0.9639, prior_entropy: 3.3219, recall: 0.9639, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.085, root_relative_squared_error: 0.2834, scimark_benchmark: 941.3847, usercpu_time_millis: 33420, usercpu_time_millis_testing: 17840, usercpu_time_millis_training: 15580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9749, kappa: 0.9722, kb_relative_information_score: 19490.6828, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2288, scimark_benchmark: 941.3847, usercpu_time_millis: 9590, usercpu_time_millis_testing: 8460, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9344, kappa: 0.9271, kb_relative_information_score: 18652.7077, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9354, predictive_accuracy: 0.9344, prior_entropy: 3.3219, recall: 0.9344, relative_absolute_error: 0.073, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.3742, scimark_benchmark: 947.1781, usercpu_time_millis: 1810730, usercpu_time_millis_testing: 1780, usercpu_time_millis_training: 1808950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.962, kappa: 0.9578, kb_relative_information_score: 15244.4549, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9623, predictive_accuracy: 0.962, prior_entropy: 3.3219, recall: 0.962, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.4938, scimark_benchmark: 943.1009, usercpu_time_millis: 970, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9706, kappa: 0.9672, kb_relative_information_score: 18104.4966, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9708, predictive_accuracy: 0.9705, prior_entropy: 3.3219, recall: 0.9705, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.303, scimark_benchmark: 936.9759, usercpu_time_millis: 859070, usercpu_time_millis_testing: 310310, usercpu_time_millis_training: 548760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.7875, kappa: 0.7631, kb_relative_information_score: 15615.9302, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7893, predictive_accuracy: 0.7868, prior_entropy: 3.3219, recall: 0.7868, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.6279, scimark_benchmark: 819.5729, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.964, kappa: 0.9598, kb_relative_information_score: 19243.9173, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9644, predictive_accuracy: 0.9639, prior_entropy: 3.3219, recall: 0.9639, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.085, root_relative_squared_error: 0.2834, scimark_benchmark: 730.6551, usercpu_time_millis: 70160, usercpu_time_millis_testing: 42280, usercpu_time_millis_training: 27880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9749, kappa: 0.9722, kb_relative_information_score: 19490.6828, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2288, scimark_benchmark: 930.404, usercpu_time_millis: 9740, usercpu_time_millis_testing: 8580, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9749, kappa: 0.9722, kb_relative_information_score: 19490.6828, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2288, scimark_benchmark: 930.404, usercpu_time_millis: 9150, usercpu_time_millis_testing: 7960, usercpu_time_millis_training: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9749, kappa: 0.9722, kb_relative_information_score: 19490.6828, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2288, scimark_benchmark: 933.3455, usercpu_time_millis: 9020, usercpu_time_millis_testing: 7880, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.8437, kappa: 0.8263, kb_relative_information_score: 15382.8946, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.844, predictive_accuracy: 0.8437, prior_entropy: 3.3219, recall: 0.8437, relative_absolute_error: 0.3516, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.533, scimark_benchmark: 941.4991, usercpu_time_millis: 1700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9742, kappa: 0.9713, kb_relative_information_score: 18122.3206, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9744, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.2957, scimark_benchmark: 763.3895, usercpu_time_millis: 4074380, usercpu_time_millis_testing: 1810510, usercpu_time_millis_training: 2263870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9749, kappa: 0.9722, kb_relative_information_score: 19490.6828, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2288, scimark_benchmark: 944.0133, usercpu_time_millis: 8570, usercpu_time_millis_testing: 7300, usercpu_time_millis_training: 1270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9344, kappa: 0.9271, kb_relative_information_score: 18652.7077, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9354, predictive_accuracy: 0.9344, prior_entropy: 3.3219, recall: 0.9344, relative_absolute_error: 0.073, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.3742, scimark_benchmark: 932.438, usercpu_time_millis: 1779550, usercpu_time_millis_testing: 1880, usercpu_time_millis_training: 1777670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.962, kappa: 0.9578, kb_relative_information_score: 15244.4549, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9623, predictive_accuracy: 0.962, prior_entropy: 3.3219, recall: 0.962, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.4938, scimark_benchmark: 936.9595, usercpu_time_millis: 990, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9729, kappa: 0.9698, kb_relative_information_score: 18114.6539, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9731, predictive_accuracy: 0.9729, prior_entropy: 3.3219, recall: 0.9729, relative_absolute_error: 0.1771, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.2981, scimark_benchmark: 901.6243, usercpu_time_millis: 1819460, usercpu_time_millis_testing: 685060, usercpu_time_millis_training: 1134400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9672, kappa: 0.9636, kb_relative_information_score: 18089.2905, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9674, predictive_accuracy: 0.9672, prior_entropy: 3.3219, recall: 0.9672, relative_absolute_error: 0.1763, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.311, scimark_benchmark: 899.0468, usercpu_time_millis: 438460, usercpu_time_millis_testing: 168440, usercpu_time_millis_training: 270020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9571, kappa: 0.9523, kb_relative_information_score: 18027.1613, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9573, predictive_accuracy: 0.9571, prior_entropy: 3.3219, recall: 0.9571, relative_absolute_error: 0.1763, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.3305, scimark_benchmark: 929.0296, usercpu_time_millis: 219350, usercpu_time_millis_testing: 77340, usercpu_time_millis_training: 142010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.4733, kappa: 0.4297, kb_relative_information_score: 8577.9604, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.5159, predictive_accuracy: 0.4867, prior_entropy: 3.3219, recall: 0.4867, relative_absolute_error: 0.7795, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.8561, scimark_benchmark: 941.9549, usercpu_time_millis: 270, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.0811, kappa: 0.1038, kb_relative_information_score: 4401.5098, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0771, predictive_accuracy: 0.1935, prior_entropy: 3.3219, recall: 0.1935, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.9638, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.0811, kappa: 0.1038, kb_relative_information_score: 4401.5098, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0771, predictive_accuracy: 0.1935, prior_entropy: 3.3219, recall: 0.1935, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.9638, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.0811, kappa: 0.1038, kb_relative_information_score: 4401.5098, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0771, predictive_accuracy: 0.1935, prior_entropy: 3.3219, recall: 0.1935, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.9638, scimark_benchmark: 940.0055, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.0811, kappa: 0.1038, kb_relative_information_score: 4401.5098, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0771, predictive_accuracy: 0.1935, prior_entropy: 3.3219, recall: 0.1935, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.9638, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.0811, kappa: 0.1038, kb_relative_information_score: 4401.5098, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0771, predictive_accuracy: 0.1935, prior_entropy: 3.3219, recall: 0.1935, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.9638, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 1176.3652, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9302, kappa: 0.9224, kb_relative_information_score: 16645.8507, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9306, predictive_accuracy: 0.9302, prior_entropy: 3.3219, recall: 0.9302, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.422, scimark_benchmark: 926.5859, usercpu_time_millis: 2890, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 2610,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.2937, kappa: 0.2858, kb_relative_information_score: 4300.9829, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3642, predictive_accuracy: 0.3573, prior_entropy: 3.3219, recall: 0.3573, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.9506, scimark_benchmark: 931.7994, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.964, kappa: 0.9598, kb_relative_information_score: 19243.9173, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9644, predictive_accuracy: 0.9639, prior_entropy: 3.3219, recall: 0.9639, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.085, root_relative_squared_error: 0.2834, scimark_benchmark: 1327.3335, usercpu_time_millis: 30960, usercpu_time_millis_testing: 19200, usercpu_time_millis_training: 11760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.8326, kappa: 0.8144, kb_relative_information_score: 16516.1042, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8326, predictive_accuracy: 0.833, prior_entropy: 3.3219, recall: 0.833, relative_absolute_error: 0.1935, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.5894, scimark_benchmark: 1309.4708, usercpu_time_millis: 230340, usercpu_time_millis_testing: 21150, usercpu_time_millis_training: 209190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9749, kappa: 0.9722, kb_relative_information_score: 19490.6828, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2288, scimark_benchmark: 1313.11, usercpu_time_millis: 7400, usercpu_time_millis_testing: 6680, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9749, kappa: 0.9722, kb_relative_information_score: 19490.6828, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2288, scimark_benchmark: 1321.8321, usercpu_time_millis: 7480, usercpu_time_millis_testing: 6720, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9749, kappa: 0.9722, kb_relative_information_score: 19490.6828, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2288, scimark_benchmark: 1324.6442, usercpu_time_millis: 6500, usercpu_time_millis_testing: 5840, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9653, kappa: 0.9615, kb_relative_information_score: 19275.2901, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9656, predictive_accuracy: 0.9654, prior_entropy: 3.3219, recall: 0.9654, relative_absolute_error: 0.0385, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.2775, scimark_benchmark: 1331.0047, usercpu_time_millis: 360, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8044, kappa: 0.784, kb_relative_information_score: 15803.09, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8054, predictive_accuracy: 0.8056, prior_entropy: 3.3219, recall: 0.8056, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.631, scimark_benchmark: 1331.0047, usercpu_time_millis: 1490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8315, kappa: 0.8128, kb_relative_information_score: 15484.8838, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8344, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.3516, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.5317, scimark_benchmark: 1364.991, usercpu_time_millis: 40950, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9749, kappa: 0.9722, kb_relative_information_score: 19490.6828, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2288, scimark_benchmark: 1342.4614, usercpu_time_millis: 8370, usercpu_time_millis_testing: 7550, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9749, kappa: 0.9722, kb_relative_information_score: 19490.6828, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2288, scimark_benchmark: 1330.7859, usercpu_time_millis: 12430, usercpu_time_millis_testing: 11610, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.8437, kappa: 0.8263, kb_relative_information_score: 15382.8946, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.844, predictive_accuracy: 0.8437, prior_entropy: 3.3219, recall: 0.8437, relative_absolute_error: 0.3516, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.533, scimark_benchmark: 1331.0047, usercpu_time_millis: 2090, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9749, kappa: 0.9722, kb_relative_information_score: 19490.6828, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2288, scimark_benchmark: 1360.0477, usercpu_time_millis: 8710, usercpu_time_millis_testing: 7820, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.962, kappa: 0.9578, kb_relative_information_score: 15244.4549, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9623, predictive_accuracy: 0.962, prior_entropy: 3.3219, recall: 0.962, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.4938, scimark_benchmark: 1334.9442, usercpu_time_millis: 920, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9749, kappa: 0.9722, kb_relative_information_score: 19490.6828, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2288, scimark_benchmark: 1370.3901, usercpu_time_millis: 8940, usercpu_time_millis_testing: 8090, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.962, kappa: 0.9578, kb_relative_information_score: 15244.4549, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9623, predictive_accuracy: 0.962, prior_entropy: 3.3219, recall: 0.962, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.4938, scimark_benchmark: 1333.202, usercpu_time_millis: 730, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.964, kappa: 0.9598, kb_relative_information_score: 19243.9173, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9644, predictive_accuracy: 0.9639, prior_entropy: 3.3219, recall: 0.9639, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.085, root_relative_squared_error: 0.2834, scimark_benchmark: 1352.06, usercpu_time_millis: 22270, usercpu_time_millis_testing: 13600, usercpu_time_millis_training: 8670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.936, kappa: 0.9288, kb_relative_information_score: 18685.4508, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9371, predictive_accuracy: 0.9359, prior_entropy: 3.3219, recall: 0.9359, relative_absolute_error: 0.0711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.111, root_relative_squared_error: 0.37, scimark_benchmark: 1354.3488, usercpu_time_millis: 350, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9749, kappa: 0.9722, kb_relative_information_score: 19490.6828, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2288, scimark_benchmark: 1347.993, usercpu_time_millis: 8080, usercpu_time_millis_testing: 7280, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.962, kappa: 0.9578, kb_relative_information_score: 15244.4549, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9623, predictive_accuracy: 0.962, prior_entropy: 3.3219, recall: 0.962, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.4938, scimark_benchmark: 1326.8946, usercpu_time_millis: 1010, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9448, kappa: 0.9387, kb_relative_information_score: 18864.2193, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9452, predictive_accuracy: 0.9449, prior_entropy: 3.3219, recall: 0.9449, relative_absolute_error: 0.0615, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.3437, scimark_benchmark: 1315.933, usercpu_time_millis: 38235220, usercpu_time_millis_testing: 38235110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9344, kappa: 0.9271, kb_relative_information_score: 18652.7077, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9354, predictive_accuracy: 0.9344, prior_entropy: 3.3219, recall: 0.9344, relative_absolute_error: 0.073, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.3742, scimark_benchmark: 935.5075, usercpu_time_millis: 1811730, usercpu_time_millis_testing: 2070, usercpu_time_millis_training: 1809660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9749, kappa: 0.9722, kb_relative_information_score: 19490.6828, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2288, scimark_benchmark: 1312.2688, usercpu_time_millis: 9960, usercpu_time_millis_testing: 9030, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.936, kappa: 0.9288, kb_relative_information_score: 18685.4508, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9371, predictive_accuracy: 0.9359, prior_entropy: 3.3219, recall: 0.9359, relative_absolute_error: 0.0711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.111, root_relative_squared_error: 0.37, scimark_benchmark: 1345.7204, usercpu_time_millis: 320, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9749, kappa: 0.9722, kb_relative_information_score: 19490.6828, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2288, scimark_benchmark: 1347.917, usercpu_time_millis: 9400, usercpu_time_millis_testing: 8540, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9749, kappa: 0.9722, kb_relative_information_score: 19490.6828, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2288, scimark_benchmark: 1345.7204, usercpu_time_millis: 9920, usercpu_time_millis_testing: 9050, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.7677, kappa: 0.7542, kb_relative_information_score: 8568.0003, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8219, predictive_accuracy: 0.7788, prior_entropy: 3.3219, recall: 0.7788, relative_absolute_error: 0.7958, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.8471, scimark_benchmark: 926.6704, usercpu_time_millis: 79540, usercpu_time_millis_testing: 79540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9749, kappa: 0.9722, kb_relative_information_score: 19490.6828, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2288, scimark_benchmark: 933.1165, usercpu_time_millis: 10190, usercpu_time_millis_testing: 8960, usercpu_time_millis_training: 1230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8315, kappa: 0.8128, kb_relative_information_score: 15484.8838, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8344, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.3516, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.5317, scimark_benchmark: 1329.8902, usercpu_time_millis: 36540, usercpu_time_millis_training: 36540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9749, kappa: 0.9722, kb_relative_information_score: 19490.6828, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2288, scimark_benchmark: 1354.3488, usercpu_time_millis: 8950, usercpu_time_millis_testing: 8110, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.936, kappa: 0.9288, kb_relative_information_score: 18685.4508, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9371, predictive_accuracy: 0.9359, prior_entropy: 3.3219, recall: 0.9359, relative_absolute_error: 0.0711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.111, root_relative_squared_error: 0.37, scimark_benchmark: 933.1165, usercpu_time_millis: 350, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 50,

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