Task
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131653 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7604, kappa: 0.4647, kb_relative_information_score: 235.6658, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7601, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7091, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.8281, scimark_benchmark: 1870.1619, usercpu_time_millis: 4.857, usercpu_time_millis_testing: 0.553, usercpu_time_millis_training: 4.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5134, kb_relative_information_score: 0.2809, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1867.725, usercpu_time_millis: 0.593, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 0.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, f_measure: 0.7245, kappa: 0.3794, kb_relative_information_score: 126.973, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7447, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.8925, scimark_benchmark: 1863.5242, usercpu_time_millis: 0.662, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.7207, kappa: 0.3717, kb_relative_information_score: 151.2308, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.724, predictive_accuracy: 0.7331, prior_entropy: 0.9335, recall: 0.7331, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8947, scimark_benchmark: 1847.8034, usercpu_time_millis: 0.808, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7686, kappa: 0.4868, kb_relative_information_score: 248.1617, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7676, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8333, scimark_benchmark: 1787.7916, usercpu_time_millis: 6.715, usercpu_time_millis_testing: 0.797, usercpu_time_millis_training: 5.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7548, kappa: 0.4533, kb_relative_information_score: 235.4643, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7538, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8298, scimark_benchmark: 1872.0299, usercpu_time_millis: 3.136, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 2.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7627, kappa: 0.471, kb_relative_information_score: 237.6547, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.762, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7055, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1822.2118, usercpu_time_millis: 5.908, usercpu_time_millis_testing: 0.67, usercpu_time_millis_training: 5.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.7668, kappa: 0.4803, kb_relative_information_score: 209.2115, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7661, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8364, scimark_benchmark: 1872.3546, usercpu_time_millis: 2.592, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 2.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.7646, kappa: 0.4775, kb_relative_information_score: 250.8599, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7634, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1831.0407, usercpu_time_millis: 5.734, usercpu_time_millis_testing: 0.602, usercpu_time_millis_training: 5.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.5134, kb_relative_information_score: 0.4421, mean_absolute_error: 0.4541, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1844.0458, usercpu_time_millis: 0.125, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.7584, kappa: 0.4644, kb_relative_information_score: 241.2765, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7572, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8473, scimark_benchmark: 1827.1684, usercpu_time_millis: 0.208, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.771, kappa: 0.4885, kb_relative_information_score: 223.5275, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7711, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.8326, scimark_benchmark: 1869.6309, usercpu_time_millis: 0.49, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 0.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7619, kappa: 0.4717, kb_relative_information_score: 252.4618, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7608, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8312, scimark_benchmark: 1872.8797, usercpu_time_millis: 5.391, usercpu_time_millis_testing: 0.498, usercpu_time_millis_training: 4.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5134, kb_relative_information_score: 0.1131, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1828.5795, usercpu_time_millis: 0.541, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 0.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7639, kappa: 0.4735, kb_relative_information_score: 217.896, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7632, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7334, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8326, scimark_benchmark: 1874.4489, usercpu_time_millis: 2.236, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 1.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.766, kappa: 0.4809, kb_relative_information_score: 258.1265, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7649, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6705, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8327, scimark_benchmark: 1865.0384, usercpu_time_millis: 5.152, usercpu_time_millis_testing: 0.53, usercpu_time_millis_training: 4.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.7689, kappa: 0.4877, kb_relative_information_score: 242.8005, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7678, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.831, scimark_benchmark: 1868.7188, usercpu_time_millis: 1.486, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 1.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7586, kappa: 0.4653, kb_relative_information_score: 252.2766, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7575, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8414, scimark_benchmark: 1858.3038, usercpu_time_millis: 10.828, usercpu_time_millis_testing: 1.122, usercpu_time_millis_training: 9.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.76, kappa: 0.4664, kb_relative_information_score: 250.0844, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7588, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.8277, scimark_benchmark: 1868.7112, usercpu_time_millis: 7.125, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 6.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7633, kappa: 0.4716, kb_relative_information_score: 200.1541, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.763, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8425, scimark_benchmark: 1847.2753, usercpu_time_millis: 8.122, usercpu_time_millis_testing: 1.303, usercpu_time_millis_training: 6.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.7371, kappa: 0.4168, kb_relative_information_score: 252.2097, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7356, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.6641, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8768, scimark_benchmark: 1824.8057, usercpu_time_millis: 10.409, usercpu_time_millis_testing: 0.779, usercpu_time_millis_training: 9.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.7681, kappa: 0.4816, kb_relative_information_score: 223.704, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7683, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.7253, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8352, scimark_benchmark: 1864.9656, usercpu_time_millis: 0.528, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7591, kappa: 0.4608, kb_relative_information_score: 219.7044, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7306, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8389, scimark_benchmark: 1870.7975, usercpu_time_millis: 0.528, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7648, kappa: 0.4751, kb_relative_information_score: 221.144, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7644, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7286, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8376, scimark_benchmark: 1789.3387, usercpu_time_millis: 1.103, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7527, kappa: 0.4532, kb_relative_information_score: 250.5093, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7517, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8515, scimark_benchmark: 1867.0779, usercpu_time_millis: 1.512, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 1.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7627, kappa: 0.471, kb_relative_information_score: 237.2638, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.762, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7061, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.8269, scimark_benchmark: 1863.603, usercpu_time_millis: 6.698, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 5.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.7073, kappa: 0.3426, kb_relative_information_score: 130.0216, mean_absolute_error: 0.3859, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7406, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8836, scimark_benchmark: 1873.5991, usercpu_time_millis: 1.063, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 0.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.7722, kappa: 0.4942, kb_relative_information_score: 216.6386, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7712, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.7344, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8333, scimark_benchmark: 1814.9617, usercpu_time_millis: 0.394, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7645, kappa: 0.4754, kb_relative_information_score: 207.2755, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7482, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8365, scimark_benchmark: 1870.9768, usercpu_time_millis: 2.611, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 2.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.762, kappa: 0.4664, kb_relative_information_score: 210.1829, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.764, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.745, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8381, scimark_benchmark: 1871.9601, usercpu_time_millis: 1.105, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 0.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, f_measure: 0.7309, kappa: 0.3957, kb_relative_information_score: 165.8663, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7327, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.8043, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8719, scimark_benchmark: 1869.7037, usercpu_time_millis: 1.725, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 1.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.7152, kappa: 0.3615, kb_relative_information_score: 157.593, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7147, predictive_accuracy: 0.724, prior_entropy: 0.9335, recall: 0.724, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.8905, scimark_benchmark: 1868.1832, usercpu_time_millis: 0.34, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.5134, kb_relative_information_score: -0.0437, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1824.3558, usercpu_time_millis: 1.439, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 1.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.761, kappa: 0.4702, kb_relative_information_score: 249.6792, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7599, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6834, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8367, scimark_benchmark: 1832.1397, usercpu_time_millis: 4.196, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 3.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.7528, kappa: 0.4459, kb_relative_information_score: 217.8021, mean_absolute_error: 0.3343, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7541, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1860.5853, usercpu_time_millis: 0.891, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.813,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7494, kappa: 0.4378, kb_relative_information_score: 214.5252, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7513, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8381, scimark_benchmark: 1874.977, usercpu_time_millis: 3.451, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 3.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.5134, kb_relative_information_score: -0.8425, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.253, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.771, kappa: 0.4917, kb_relative_information_score: 241.0086, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.77, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6977, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394, scimark_benchmark: 1866.0068, usercpu_time_millis: 0.278, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7482, kappa: 0.4353, kb_relative_information_score: 209.0584, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7499, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8404, scimark_benchmark: 1867.725, usercpu_time_millis: 0.113, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.7564, kappa: 0.4591, kb_relative_information_score: 248.341, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7552, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6864, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.8358, scimark_benchmark: 1864.6227, usercpu_time_millis: 0.226, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.758, kappa: 0.4565, kb_relative_information_score: 189.6845, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7614, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7745, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8479, scimark_benchmark: 1850.2875, usercpu_time_millis: 0.353, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.766, kappa: 0.4809, kb_relative_information_score: 245.3733, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7649, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8345, scimark_benchmark: 1868.5777, usercpu_time_millis: 12.577, usercpu_time_millis_testing: 1.455, usercpu_time_millis_training: 11.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7668, kappa: 0.4866, kb_relative_information_score: 251.0925, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7667, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6799, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8353, scimark_benchmark: 1864.5074, usercpu_time_millis: 5.179, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 4.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7506, kappa: 0.4397, kb_relative_information_score: 197.3801, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7544, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.763, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8403, scimark_benchmark: 1863.9794, usercpu_time_millis: 2.331, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 1.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7666, kappa: 0.4782, kb_relative_information_score: 240.9459, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7669, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6991, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8297, scimark_benchmark: 1871.3925, usercpu_time_millis: 0.159, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7452, kappa: 0.4258, kb_relative_information_score: 145.1877, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7634, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.8342, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8728, scimark_benchmark: 1854.8318, usercpu_time_millis: 0.803, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 0.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.77, kappa: 0.4881, kb_relative_information_score: 241.7139, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7691, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6956, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.8361, scimark_benchmark: 1850.2875, usercpu_time_millis: 0.655, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 0.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0231, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1848.2615, usercpu_time_millis: 0.995, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 0.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.7619, kappa: 0.4717, kb_relative_information_score: 243.2531, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7608, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8302, scimark_benchmark: 1825.5482, usercpu_time_millis: 4.645, usercpu_time_millis_testing: 0.499, usercpu_time_millis_training: 4.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7725, kappa: 0.4919, kb_relative_information_score: 219.4729, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7725, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.7316, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8319, scimark_benchmark: 1868.2531, usercpu_time_millis: 4.374, usercpu_time_millis_testing: 0.616, usercpu_time_millis_training: 3.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.763, kappa: 0.472, kb_relative_information_score: 237.0748, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7621, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.8283, scimark_benchmark: 1845.3975, usercpu_time_millis: 0.917, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7304, kappa: 0.4017, kb_relative_information_score: 254.4824, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7288, predictive_accuracy: 0.7331, prior_entropy: 0.9335, recall: 0.7331, relative_absolute_error: 0.6599, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8749, scimark_benchmark: 1869.2942, usercpu_time_millis: 2.227, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 2.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7633, kappa: 0.4716, kb_relative_information_score: 233.6146, mean_absolute_error: 0.3233, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.763, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7114, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.8274, scimark_benchmark: 1869.1029, usercpu_time_millis: 4.728, usercpu_time_millis_testing: 0.574, usercpu_time_millis_training: 4.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7479, kappa: 0.4336, kb_relative_information_score: 188.7178, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7515, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7754, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8489, scimark_benchmark: 1870.742, usercpu_time_millis: 2.448, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 2.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -0.0769, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1867.3493, usercpu_time_millis: 0.786, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 0.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.5134, kb_relative_information_score: 0.3124, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1868.2531, usercpu_time_millis: 0.546, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.7038, kappa: 0.3335, kb_relative_information_score: 133.5108, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7276, predictive_accuracy: 0.7305, prior_entropy: 0.9335, recall: 0.7305, relative_absolute_error: 0.8468, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8826, scimark_benchmark: 1844.149, usercpu_time_millis: 0.322, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5134, kb_relative_information_score: -0.0282, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1818.4874, usercpu_time_millis: 0.55, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 0.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.7583, kappa: 0.4593, kb_relative_information_score: 213.552, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7585, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8384, scimark_benchmark: 1846.1643, usercpu_time_millis: 3.146, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 2.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.7098, kappa: 0.3472, kb_relative_information_score: 136.5008, mean_absolute_error: 0.3836, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7122, predictive_accuracy: 0.7227, prior_entropy: 0.9335, recall: 0.7227, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.9013, scimark_benchmark: 1868.2531, usercpu_time_millis: 0.852, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 0.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.7417, kappa: 0.418, kb_relative_information_score: 144.3695, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7578, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.8368, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8746, scimark_benchmark: 1872.0299, usercpu_time_millis: 2.055, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 1.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.7396, kappa: 0.4139, kb_relative_information_score: 171.0868, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7466, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8568, scimark_benchmark: 1860.7926, usercpu_time_millis: 3.131, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 2.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7576, kappa: 0.4615, kb_relative_information_score: 251.2737, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7564, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6801, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8329, scimark_benchmark: 1858.1823, usercpu_time_millis: 3.688, usercpu_time_millis_testing: 0.342, usercpu_time_millis_training: 3.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7619, kappa: 0.4717, kb_relative_information_score: 248.1215, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7608, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8345, scimark_benchmark: 1864.5074, usercpu_time_millis: 7.675, usercpu_time_millis_testing: 0.821, usercpu_time_millis_training: 6.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7489, kappa: 0.4373, kb_relative_information_score: 221.7227, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7499, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7283, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8323, scimark_benchmark: 1869.7524, usercpu_time_millis: 2.034, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 1.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.7344, kappa: 0.4032, kb_relative_information_score: 190.1843, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.737, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.7571, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8744, scimark_benchmark: 1821.6809, usercpu_time_millis: 0.068, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7712, kappa: 0.4906, kb_relative_information_score: 218.1988, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7704, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.7327, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.834, scimark_benchmark: 1855.4813, usercpu_time_millis: 2.584, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 2.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7303, kappa: 0.3929, kb_relative_information_score: 154.4398, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.736, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.8212, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.882, scimark_benchmark: 1868.6447, usercpu_time_millis: 0.396, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.343,

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