OpenML
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: 0.4985, f_measure: 0.5134, kb_relative_information_score: 0.0742, 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: 1822.3184, usercpu_time_millis: 0.452, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7544, kappa: 0.4489, kb_relative_information_score: 201.7394, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.757, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7568, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8389, scimark_benchmark: 1754.6933, usercpu_time_millis: 0.282, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.6935, kappa: 0.3125, kb_relative_information_score: 126.8512, mean_absolute_error: 0.3875, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7282, predictive_accuracy: 0.7266, prior_entropy: 0.9335, recall: 0.7266, relative_absolute_error: 0.8525, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8866, scimark_benchmark: 1781.949, usercpu_time_millis: 1.821, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 1.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.7359, kappa: 0.406, kb_relative_information_score: 171.4994, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7401, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8669, scimark_benchmark: 1780.6069, usercpu_time_millis: 2.304, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 1.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: -0.0467, 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: 1768.6421, usercpu_time_millis: 0.227, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5134, kb_relative_information_score: 0.152, 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: 1739.4769, usercpu_time_millis: 0.311, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.736, kappa: 0.4055, kb_relative_information_score: 159.2733, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.744, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8662, scimark_benchmark: 1766.1424, usercpu_time_millis: 1.337, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 1.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7573, kappa: 0.4564, kb_relative_information_score: 210.0477, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7584, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8388, scimark_benchmark: 1790.7619, usercpu_time_millis: 2.062, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 1.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.7648, kappa: 0.4785, kb_relative_information_score: 250.1209, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7637, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.8321, scimark_benchmark: 1776.9152, usercpu_time_millis: 6.103, usercpu_time_millis_testing: 0.895, usercpu_time_millis_training: 5.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, f_measure: 0.5986, kappa: 0.1311, kb_relative_information_score: 74.8577, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6919, predictive_accuracy: 0.6797, prior_entropy: 0.9335, recall: 0.6797, relative_absolute_error: 0.9137, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9319, scimark_benchmark: 1805.873, usercpu_time_millis: 0.05, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7633, kappa: 0.4716, kb_relative_information_score: 224.344, mean_absolute_error: 0.3292, 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: 0.7244, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8353, scimark_benchmark: 1781.9523, usercpu_time_millis: 3.968, usercpu_time_millis_testing: 0.508, usercpu_time_millis_training: 3.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7607, kappa: 0.4657, kb_relative_information_score: 202.111, mean_absolute_error: 0.3421, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7602, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7527, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8424, scimark_benchmark: 1801.7885, usercpu_time_millis: 4.773, usercpu_time_millis_testing: 0.748, usercpu_time_millis_training: 4.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7633, kappa: 0.4703, kb_relative_information_score: 189.05, mean_absolute_error: 0.3512, 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: 0.7728, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.845, scimark_benchmark: 1841.4601, usercpu_time_millis: 5.391, usercpu_time_millis_testing: 0.887, usercpu_time_millis_training: 4.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7586, kappa: 0.4603, kb_relative_information_score: 226.2746, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7586, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7228, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8302, scimark_benchmark: 1797.7243, usercpu_time_millis: 4.514, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 3.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.7633, kappa: 0.4716, kb_relative_information_score: 200.132, mean_absolute_error: 0.3436, 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: 0.756, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8426, scimark_benchmark: 1844.0564, usercpu_time_millis: 11.761, usercpu_time_millis_testing: 1.946, usercpu_time_millis_training: 9.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.7626, kappa: 0.4723, kb_relative_information_score: 250.1637, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7615, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6856, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8264, scimark_benchmark: 1797.308, usercpu_time_millis: 1.583, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 1.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.5134, kb_relative_information_score: 0.1804, 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: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1820.5775, usercpu_time_millis: 0.605, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 0.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.76, kappa: 0.4624, kb_relative_information_score: 223.1316, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7612, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.8299, scimark_benchmark: 1786.3612, usercpu_time_millis: 2.982, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 2.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7636, kappa: 0.4726, kb_relative_information_score: 237.6985, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7631, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7037, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8331, scimark_benchmark: 1777.65, usercpu_time_millis: 0.352, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.7273, kappa: 0.3858, kb_relative_information_score: 144.2747, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.735, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.8353, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.419, root_relative_squared_error: 0.879, scimark_benchmark: 1749.5985, usercpu_time_millis: 1.244, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 1.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7655, kappa: 0.4791, kb_relative_information_score: 249.4651, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7644, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.841, scimark_benchmark: 1811.6785, usercpu_time_millis: 0.614, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7488, kappa: 0.4379, kb_relative_information_score: 238.4144, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7488, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.7009, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8305, scimark_benchmark: 1804.5222, usercpu_time_millis: 3.68, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 3.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.5134, kb_relative_information_score: -0.1837, mean_absolute_error: 0.4545, 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: 1798.7138, usercpu_time_millis: 0.351, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7479, kappa: 0.4336, kb_relative_information_score: 201.8237, mean_absolute_error: 0.3441, 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: 0.7572, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8392, scimark_benchmark: 1798.2888, usercpu_time_millis: 3.491, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 3.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.7662, kappa: 0.4797, kb_relative_information_score: 248.7768, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7652, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.8263, scimark_benchmark: 1789.5192, usercpu_time_millis: 1.872, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 1.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7529, kappa: 0.4518, kb_relative_information_score: 246.8281, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7516, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.843, scimark_benchmark: 1817.7098, usercpu_time_millis: 1.049, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.7484, kappa: 0.4369, kb_relative_information_score: 199.6021, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7487, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8496, scimark_benchmark: 1797.819, usercpu_time_millis: 3.777, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 3.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7616, kappa: 0.4672, kb_relative_information_score: 199.8937, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7615, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8417, scimark_benchmark: 1826.4568, usercpu_time_millis: 9.597, usercpu_time_millis_testing: 1.479, usercpu_time_millis_training: 8.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7216, kappa: 0.3732, kb_relative_information_score: 143.3172, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7271, predictive_accuracy: 0.7357, prior_entropy: 0.9335, recall: 0.7357, relative_absolute_error: 0.8361, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8923, scimark_benchmark: 1807.7229, usercpu_time_millis: 1.002, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 0.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7529, kappa: 0.4453, kb_relative_information_score: 194.6484, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7556, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7669, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8466, scimark_benchmark: 1788.1909, usercpu_time_millis: 3.061, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 2.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5134, kb_relative_information_score: -0.2426, 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: 1808.8356, usercpu_time_millis: 0.339, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.782, kappa: 0.5132, kb_relative_information_score: 221.4348, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7821, predictive_accuracy: 0.7865, prior_entropy: 0.9335, recall: 0.7865, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8345, scimark_benchmark: 1796.6361, usercpu_time_millis: 0.502, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7604, kappa: 0.4661, kb_relative_information_score: 245.8632, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7594, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.8271, scimark_benchmark: 1800.8037, usercpu_time_millis: 1.41, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 1.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7479, kappa: 0.4336, kb_relative_information_score: 189.1753, 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: 0.4043, root_relative_squared_error: 0.8482, scimark_benchmark: 1827.8311, usercpu_time_millis: 0.555, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7692, kappa: 0.4853, kb_relative_information_score: 212.1797, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7687, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8338, scimark_benchmark: 1816.4954, usercpu_time_millis: 4.75, usercpu_time_millis_testing: 0.711, usercpu_time_millis_training: 4.039,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.7725, kappa: 0.4919, kb_relative_information_score: 216.4488, mean_absolute_error: 0.3345, 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: 0.736, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8328, scimark_benchmark: 1801.7746, usercpu_time_millis: 5.278, usercpu_time_millis_testing: 0.778, usercpu_time_millis_training: 4.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.7193, kappa: 0.3682, kb_relative_information_score: 135.5341, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7241, predictive_accuracy: 0.7331, prior_entropy: 0.9335, recall: 0.7331, relative_absolute_error: 0.8457, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.8924, scimark_benchmark: 1820.5048, usercpu_time_millis: 1.453, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 1.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.7056, kappa: 0.34, kb_relative_information_score: 126.4504, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.747, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.8584, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.8871, scimark_benchmark: 1744.9283, usercpu_time_millis: 2.05, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 1.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.7387, kappa: 0.4113, kb_relative_information_score: 138.723, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7519, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.8426, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.88, scimark_benchmark: 1813.1594, usercpu_time_millis: 2.274, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 1.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7561, kappa: 0.4539, kb_relative_information_score: 179.3972, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.757, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7865, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8485, scimark_benchmark: 1784.8693, usercpu_time_millis: 4.806, usercpu_time_millis_testing: 0.812, usercpu_time_millis_training: 3.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7619, kappa: 0.4717, kb_relative_information_score: 249.3153, mean_absolute_error: 0.3122, 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: 0.6869, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.8294, scimark_benchmark: 1788.029, usercpu_time_millis: 8.42, usercpu_time_millis_testing: 1.067, usercpu_time_millis_training: 7.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.7191, kappa: 0.3685, kb_relative_information_score: 132.3541, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7512, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8812, scimark_benchmark: 1809.3195, usercpu_time_millis: 0.901, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 0.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.768, kappa: 0.4828, kb_relative_information_score: 224.9861, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7674, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7235, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.8322, scimark_benchmark: 1785.8693, usercpu_time_millis: 3.779, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 3.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.5134, kb_relative_information_score: 0.3249, mean_absolute_error: 0.4542, 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: 0.9994, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1773.1807, usercpu_time_millis: 0.543, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5134, kb_relative_information_score: 0.1802, 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: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1767.574, usercpu_time_millis: 0.302, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 0.502, mean_absolute_error: 0.4542, 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: 0.9993, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1742.3339, usercpu_time_millis: 0.122, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.7688, kappa: 0.4856, kb_relative_information_score: 228.5974, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7679, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8329, scimark_benchmark: 1773.2509, usercpu_time_millis: 3.319, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 2.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.6788, kappa: 0.285, kb_relative_information_score: 117.2032, mean_absolute_error: 0.3948, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7366, predictive_accuracy: 0.7227, prior_entropy: 0.9335, recall: 0.7227, relative_absolute_error: 0.8687, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8934, scimark_benchmark: 1733.0143, usercpu_time_millis: 0.66, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 0.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.5134, kb_relative_information_score: 0.0008, 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: 1732.3899, usercpu_time_millis: 0.423, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.76, kappa: 0.4624, kb_relative_information_score: 196.8827, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7612, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7618, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8431, scimark_benchmark: 1781.0955, usercpu_time_millis: 5.064, usercpu_time_millis_testing: 0.782, usercpu_time_millis_training: 4.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7672, kappa: 0.4788, kb_relative_information_score: 222.6509, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7682, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8306, scimark_benchmark: 1775.7228, usercpu_time_millis: 4.571, usercpu_time_millis_testing: 0.617, usercpu_time_millis_training: 3.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7553, kappa: 0.4499, kb_relative_information_score: 182.4761, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7604, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7839, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8489, scimark_benchmark: 1735.1074, usercpu_time_millis: 2.575, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 2.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.7558, kappa: 0.4529, kb_relative_information_score: 222.9232, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.757, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7258, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8366, scimark_benchmark: 1729.0254, usercpu_time_millis: 3.706, usercpu_time_millis_testing: 0.394, usercpu_time_millis_training: 3.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.7444, kappa: 0.4248, kb_relative_information_score: 167.123, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7507, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.8057, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8589, scimark_benchmark: 1783.2646, usercpu_time_millis: 0.82, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 0.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7529, kappa: 0.4453, kb_relative_information_score: 194.4023, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7556, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7648, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8451, scimark_benchmark: 1781.7618, usercpu_time_millis: 0.894, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5134, kb_relative_information_score: 0.1102, 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: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1820.9363, usercpu_time_millis: 0.836, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 0.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7692, kappa: 0.4853, kb_relative_information_score: 199.9258, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7687, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8429, scimark_benchmark: 1770.2399, usercpu_time_millis: 4.725, usercpu_time_millis_testing: 0.747, usercpu_time_millis_training: 3.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.667, kappa: 0.2615, kb_relative_information_score: 102.099, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7323, predictive_accuracy: 0.7161, prior_entropy: 0.9335, recall: 0.7161, relative_absolute_error: 0.8883, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.9076, scimark_benchmark: 1823.6901, usercpu_time_millis: 1.545, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 1.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7425, kappa: 0.4198, kb_relative_information_score: 161.2972, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7543, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.8126, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.411, root_relative_squared_error: 0.8624, scimark_benchmark: 1856.7467, usercpu_time_millis: 1.265, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 1.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7627, kappa: 0.4697, kb_relative_information_score: 234.0925, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7628, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7098, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.829, scimark_benchmark: 1869.1029, usercpu_time_millis: 1.061, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 0.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.7429, kappa: 0.4219, kb_relative_information_score: 176.4526, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7474, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8561, scimark_benchmark: 1789.9615, usercpu_time_millis: 1.364, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 1.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7672, kappa: 0.4788, kb_relative_information_score: 218.378, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7682, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.7332, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8317, scimark_benchmark: 1818.8577, usercpu_time_millis: 2.157, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 1.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7613, kappa: 0.4676, kb_relative_information_score: 234.1403, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7605, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7098, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.8325, scimark_benchmark: 1753.6419, usercpu_time_millis: 0.413, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7751, kappa: 0.499, kb_relative_information_score: 225.1571, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7744, predictive_accuracy: 0.7786, prior_entropy: 0.9335, recall: 0.7786, relative_absolute_error: 0.7219, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8319, scimark_benchmark: 1815.3201, usercpu_time_millis: 2.879, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 2.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.7615, kappa: 0.4685, kb_relative_information_score: 237.7205, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7607, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8287, scimark_benchmark: 1780.36, usercpu_time_millis: 4.648, usercpu_time_millis_testing: 0.591, usercpu_time_millis_training: 4.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7404, kappa: 0.4154, kb_relative_information_score: 173.6308, mean_absolute_error: 0.361, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7484, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.7942, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.854, scimark_benchmark: 1756.3468, usercpu_time_millis: 1.968, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 1.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7717, kappa: 0.4944, kb_relative_information_score: 247.2524, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7707, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6839, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8439, scimark_benchmark: 1871.9601, usercpu_time_millis: 3.838, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 3.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.761, kappa: 0.4702, kb_relative_information_score: 250.6993, mean_absolute_error: 0.3109, 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: 0.684, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.8292, scimark_benchmark: 1798.6292, usercpu_time_millis: 7.942, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 7.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.7129, kappa: 0.3542, kb_relative_information_score: 119.4602, mean_absolute_error: 0.3946, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.741, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.8681, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8952, scimark_benchmark: 1862.0869, usercpu_time_millis: 0.111, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.085,

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