Task
Supervised Classification on fri_c2_500_5

Supervised Classification on fri_c2_500_5

Task 3657 Supervised Classification fri_c2_500_5 569 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.7949, kappa: 0.5766, kb_relative_information_score: 159.9849, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.7969, predictive_accuracy: 0.794, prior_entropy: 0.9735, recall: 0.794, relative_absolute_error: 0.7136, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8808, kappa: 0.7508, kb_relative_information_score: 344.6102, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8829, predictive_accuracy: 0.882, prior_entropy: 0.9735, recall: 0.882, relative_absolute_error: 0.3275, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.7928, kappa: 0.5678, kb_relative_information_score: 192.8045, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.7927, predictive_accuracy: 0.794, prior_entropy: 0.9735, recall: 0.794, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.9051, kappa: 0.8018, kb_relative_information_score: 365.6664, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.907, predictive_accuracy: 0.906, prior_entropy: 0.9735, recall: 0.906, relative_absolute_error: 0.2837, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.5437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.7956, kappa: 0.5819, kb_relative_information_score: 159.4148, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8026, predictive_accuracy: 0.794, prior_entropy: 0.9735, recall: 0.794, relative_absolute_error: 0.7127, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8843, kappa: 0.7606, kb_relative_information_score: 367.3552, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8851, predictive_accuracy: 0.884, prior_entropy: 0.9735, recall: 0.884, relative_absolute_error: 0.2653, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9217, kappa: 0.8369, kb_relative_information_score: 417.4776, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.922, predictive_accuracy: 0.922, prior_entropy: 0.9735, recall: 0.922, relative_absolute_error: 0.1623, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.5325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8033, kappa: 0.5904, kb_relative_information_score: 213.9791, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8031, predictive_accuracy: 0.804, prior_entropy: 0.9735, recall: 0.804, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.8881, kappa: 0.7658, kb_relative_information_score: 322.823, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8938, predictive_accuracy: 0.89, prior_entropy: 0.9735, recall: 0.89, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9081, kappa: 0.8096, kb_relative_information_score: 356.6789, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9084, predictive_accuracy: 0.908, prior_entropy: 0.9735, recall: 0.908, relative_absolute_error: 0.3015, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.5629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7179, f_measure: 0.8093, kappa: 0.6082, kb_relative_information_score: 143.1432, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8137, predictive_accuracy: 0.808, prior_entropy: 0.9735, recall: 0.808, relative_absolute_error: 0.7511, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7179, f_measure: 0.8093, kappa: 0.6082, kb_relative_information_score: 143.1432, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8137, predictive_accuracy: 0.808, prior_entropy: 0.9735, recall: 0.808, relative_absolute_error: 0.7511, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.898, kappa: 0.788, kb_relative_information_score: 324.972, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8979, predictive_accuracy: 0.898, prior_entropy: 0.9735, recall: 0.898, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7284, kappa: 0.437, kb_relative_information_score: 206.6569, mean_absolute_error: 0.2798, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.7289, predictive_accuracy: 0.728, prior_entropy: 0.9735, recall: 0.728, relative_absolute_error: 0.5809, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4905, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9011, kappa: 0.7934, kb_relative_information_score: 370.6205, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.903, predictive_accuracy: 0.902, prior_entropy: 0.9735, recall: 0.902, relative_absolute_error: 0.2696, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8648, kappa: 0.7175, kb_relative_information_score: 254.4416, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8662, predictive_accuracy: 0.866, prior_entropy: 0.9735, recall: 0.866, relative_absolute_error: 0.5344, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4451, kb_relative_information_score: -0.0733, mean_absolute_error: 0.4817, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.3552, predictive_accuracy: 0.596, prior_entropy: 0.9735, recall: 0.596, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4907, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.889, kappa: 0.7681, kb_relative_information_score: 351.7105, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8907, predictive_accuracy: 0.89, prior_entropy: 0.9735, recall: 0.89, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.5923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.8882, kappa: 0.7682, kb_relative_information_score: 331.642, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8885, predictive_accuracy: 0.888, prior_entropy: 0.9735, recall: 0.888, relative_absolute_error: 0.3519, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.5824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.889, kappa: 0.7681, kb_relative_information_score: 351.7105, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8907, predictive_accuracy: 0.89, prior_entropy: 0.9735, recall: 0.89, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.5923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8873, kappa: 0.7648, kb_relative_information_score: 337.015, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9735, recall: 0.888, relative_absolute_error: 0.3446, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.6039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.8795, kappa: 0.7488, kb_relative_information_score: 361.0604, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8797, predictive_accuracy: 0.88, prior_entropy: 0.9735, recall: 0.88, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.6788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, f_measure: 0.8034, kappa: 0.5969, kb_relative_information_score: 156.2198, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8089, predictive_accuracy: 0.802, prior_entropy: 0.9735, recall: 0.802, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, f_measure: 0.7326, kappa: 0.4461, kb_relative_information_score: 147.6024, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.7334, predictive_accuracy: 0.732, prior_entropy: 0.9735, recall: 0.732, relative_absolute_error: 0.7281, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.8961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, f_measure: 0.8034, kappa: 0.5969, kb_relative_information_score: 156.2198, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8089, predictive_accuracy: 0.802, prior_entropy: 0.9735, recall: 0.802, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7347, kappa: 0.4507, kb_relative_information_score: 219.2936, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.7357, predictive_accuracy: 0.734, prior_entropy: 0.9735, recall: 0.734, relative_absolute_error: 0.5523, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.0511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.8795, kappa: 0.7488, kb_relative_information_score: 361.0604, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8797, predictive_accuracy: 0.88, prior_entropy: 0.9735, recall: 0.88, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.6788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.7848, kappa: 0.555, kb_relative_information_score: 272.0373, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.7862, predictive_accuracy: 0.784, prior_entropy: 0.9735, recall: 0.784, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.7913, kappa: 0.5704, kb_relative_information_score: 151.7043, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.7948, predictive_accuracy: 0.79, prior_entropy: 0.9735, recall: 0.79, relative_absolute_error: 0.7307, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.7848, kappa: 0.555, kb_relative_information_score: 272.0373, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.7862, predictive_accuracy: 0.784, prior_entropy: 0.9735, recall: 0.784, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9155, kappa: 0.8239, kb_relative_information_score: 369.1959, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9162, predictive_accuracy: 0.916, prior_entropy: 0.9735, recall: 0.916, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.25, root_relative_squared_error: 0.5095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, f_measure: 0.8034, kappa: 0.5969, kb_relative_information_score: 156.2198, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8089, predictive_accuracy: 0.802, prior_entropy: 0.9735, recall: 0.802, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.8942, kappa: 0.7808, kb_relative_information_score: 351.058, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8946, predictive_accuracy: 0.894, prior_entropy: 0.9735, recall: 0.894, relative_absolute_error: 0.3153, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.902, kappa: 0.7963, kb_relative_information_score: 349.3542, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9019, predictive_accuracy: 0.902, prior_entropy: 0.9735, recall: 0.902, relative_absolute_error: 0.321, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.5425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8802, kappa: 0.7516, kb_relative_information_score: 373.3053, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8805, predictive_accuracy: 0.88, prior_entropy: 0.9735, recall: 0.88, relative_absolute_error: 0.2491, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.7812, kappa: 0.5415, kb_relative_information_score: 276.2568, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.792, predictive_accuracy: 0.788, prior_entropy: 0.9735, recall: 0.788, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9383, scimark_benchmark: 1631.1992, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5466, f_measure: 0.5647, kappa: 0.0937, kb_relative_information_score: 42.0746, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.5636, predictive_accuracy: 0.566, prior_entropy: 0.9735, recall: 0.566, relative_absolute_error: 0.9011, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.6588, root_relative_squared_error: 1.3426, scimark_benchmark: 1697.6783, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8922, kappa: 0.7764, kb_relative_information_score: 385.9638, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8924, predictive_accuracy: 0.892, prior_entropy: 0.9735, recall: 0.892, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.6697, scimark_benchmark: 1862.8608, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5466, f_measure: 0.5647, kappa: 0.0937, kb_relative_information_score: 42.0746, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.5636, predictive_accuracy: 0.566, prior_entropy: 0.9735, recall: 0.566, relative_absolute_error: 0.9011, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.6588, root_relative_squared_error: 1.3426, scimark_benchmark: 1386.8321, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8922, kappa: 0.7764, kb_relative_information_score: 385.9638, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8924, predictive_accuracy: 0.892, prior_entropy: 0.9735, recall: 0.892, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.6697, scimark_benchmark: 1613.7251, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.7812, kappa: 0.5415, kb_relative_information_score: 276.2568, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.792, predictive_accuracy: 0.788, prior_entropy: 0.9735, recall: 0.788, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9383, scimark_benchmark: 1392.1364, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, f_measure: 0.8114, kappa: 0.6132, kb_relative_information_score: 218.5939, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8168, predictive_accuracy: 0.81, prior_entropy: 0.9735, recall: 0.81, relative_absolute_error: 0.5998, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7909, scimark_benchmark: 1908.2191, usercpu_time_millis: 1125, usercpu_time_millis_training: 1125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.7158, kappa: 0.4159, kb_relative_information_score: 113.5667, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.7202, predictive_accuracy: 0.714, prior_entropy: 0.9735, recall: 0.714, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.9058, scimark_benchmark: 1908.2191, usercpu_time_millis: 968.75, usercpu_time_millis_training: 968.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, f_measure: 0.7229, kappa: 0.4268, kb_relative_information_score: 206.6351, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.7243, predictive_accuracy: 0.722, prior_entropy: 0.9735, recall: 0.722, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.5273, root_relative_squared_error: 1.0745, scimark_benchmark: 1827.4462, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8808, kappa: 0.7508, kb_relative_information_score: 344.6102, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8829, predictive_accuracy: 0.882, prior_entropy: 0.9735, recall: 0.882, relative_absolute_error: 0.3275, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.6648, scimark_benchmark: 914.3857, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.879, kappa: 0.7472, kb_relative_information_score: 339.0335, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8803, predictive_accuracy: 0.88, prior_entropy: 0.9735, recall: 0.88, relative_absolute_error: 0.3338, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.5904, scimark_benchmark: 1447.2612, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8372, kappa: 0.6664, kb_relative_information_score: 344.7994, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.843, predictive_accuracy: 0.836, prior_entropy: 0.9735, recall: 0.836, relative_absolute_error: 0.3048, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.6845, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8375, kappa: 0.673, kb_relative_information_score: 345.8251, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8571, predictive_accuracy: 0.836, prior_entropy: 0.9735, recall: 0.836, relative_absolute_error: 0.3027, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.636, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8689, kappa: 0.731, kb_relative_information_score: 298.322, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8739, predictive_accuracy: 0.868, prior_entropy: 0.9735, recall: 0.868, relative_absolute_error: 0.4271, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.6159, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.8648, kappa: 0.7175, kb_relative_information_score: 339.3598, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8662, predictive_accuracy: 0.866, prior_entropy: 0.9735, recall: 0.866, relative_absolute_error: 0.3262, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.6245, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.8882, kappa: 0.7682, kb_relative_information_score: 331.642, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8885, predictive_accuracy: 0.888, prior_entropy: 0.9735, recall: 0.888, relative_absolute_error: 0.3519, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.5824, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8996, kappa: 0.7907, kb_relative_information_score: 394.4028, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8999, predictive_accuracy: 0.9, prior_entropy: 0.9735, recall: 0.9, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.9358, kappa: 0.8662, kb_relative_information_score: 432.3783, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9361, predictive_accuracy: 0.936, prior_entropy: 0.9735, recall: 0.936, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.9057, kappa: 0.8037, kb_relative_information_score: 400.732, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9058, predictive_accuracy: 0.906, prior_entropy: 0.9735, recall: 0.906, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, f_measure: 0.7465, kappa: 0.4747, kb_relative_information_score: 231.952, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.7471, predictive_accuracy: 0.746, prior_entropy: 0.9735, recall: 0.746, relative_absolute_error: 0.5274, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0271, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7026, f_measure: 0.7124, kappa: 0.4039, kb_relative_information_score: 196.0863, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.713, predictive_accuracy: 0.712, prior_entropy: 0.9735, recall: 0.712, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0937, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.8504, kappa: 0.6872, kb_relative_information_score: 313.9359, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8522, predictive_accuracy: 0.852, prior_entropy: 0.9735, recall: 0.852, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.6753, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8594, kappa: 0.7069, kb_relative_information_score: 322.0836, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8595, predictive_accuracy: 0.86, prior_entropy: 0.9735, recall: 0.86, relative_absolute_error: 0.372, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.6893, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.7853, kappa: 0.5585, kb_relative_information_score: 141.3525, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.7892, predictive_accuracy: 0.784, prior_entropy: 0.9735, recall: 0.784, relative_absolute_error: 0.7516, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9146, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.7956, kappa: 0.5819, kb_relative_information_score: 159.4148, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8026, predictive_accuracy: 0.794, prior_entropy: 0.9735, recall: 0.794, relative_absolute_error: 0.7127, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9114, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8707, kappa: 0.7299, kb_relative_information_score: 364.8663, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8724, predictive_accuracy: 0.872, prior_entropy: 0.9735, recall: 0.872, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.8951, kappa: 0.7809, kb_relative_information_score: 390.1833, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8967, predictive_accuracy: 0.896, prior_entropy: 0.9735, recall: 0.896, relative_absolute_error: 0.2159, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.9054, kappa: 0.8028, kb_relative_information_score: 400.732, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.9062, predictive_accuracy: 0.906, prior_entropy: 0.9735, recall: 0.906, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6248,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs