OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 133465 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: 0.8353, f_measure: 0.7602, kappa: 0.4674, kb_relative_information_score: 248.0359, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.759, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6879, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.827, scimark_benchmark: 1863.3902, usercpu_time_millis: 6.626, usercpu_time_millis_testing: 0.681, usercpu_time_millis_training: 5.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.761, kappa: 0.4666, kb_relative_information_score: 238.9404, mean_absolute_error: 0.3196, 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: 0.7032, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.8299, scimark_benchmark: 1866.6776, usercpu_time_millis: 6.077, usercpu_time_millis_testing: 0.67, usercpu_time_millis_training: 5.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7592, kappa: 0.4622, kb_relative_information_score: 200.9377, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7588, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7532, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8476, scimark_benchmark: 1866.6261, usercpu_time_millis: 0.609, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.5134, kb_relative_information_score: 0.1085, 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: 1817.5127, usercpu_time_millis: 0.296, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.5134, kb_relative_information_score: 0.1342, 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: 0.9996, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1841.9681, usercpu_time_millis: 0.386, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8106, f_measure: 0.7316, kappa: 0.3963, kb_relative_information_score: 159.2293, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7357, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8717, scimark_benchmark: 1834.1813, usercpu_time_millis: 0.617, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7614, kappa: 0.4698, kb_relative_information_score: 247.4128, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7603, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.8324, scimark_benchmark: 1808.721, usercpu_time_millis: 3.052, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 2.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7574, kappa: 0.4592, kb_relative_information_score: 201.9211, mean_absolute_error: 0.3421, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7565, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7526, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8441, scimark_benchmark: 1864.8321, usercpu_time_millis: 2.159, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 1.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7606, kappa: 0.467, kb_relative_information_score: 252.2267, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7596, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.825, scimark_benchmark: 1838.6946, usercpu_time_millis: 5.521, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 4.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.7598, kappa: 0.4642, kb_relative_information_score: 222.4831, mean_absolute_error: 0.3305, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7591, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8339, scimark_benchmark: 1834.6283, usercpu_time_millis: 3.936, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 3.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.7509, kappa: 0.4413, kb_relative_information_score: 198.2467, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7527, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8445, scimark_benchmark: 1841.1111, usercpu_time_millis: 4.803, usercpu_time_millis_testing: 0.754, usercpu_time_millis_training: 4.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7645, kappa: 0.4754, kb_relative_information_score: 243.1199, mean_absolute_error: 0.3165, 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: 0.6963, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8265, scimark_benchmark: 1792.5506, usercpu_time_millis: 3.455, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 3.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.7529, kappa: 0.4474, kb_relative_information_score: 206.1093, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.753, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.7471, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8483, scimark_benchmark: 1869.1727, usercpu_time_millis: 0.937, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7734, kappa: 0.4935, kb_relative_information_score: 224.5913, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7738, predictive_accuracy: 0.7786, prior_entropy: 0.9335, recall: 0.7786, relative_absolute_error: 0.725, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8297, scimark_benchmark: 1862.5505, usercpu_time_millis: 1.065, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 0.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5134, kb_relative_information_score: 0.064, 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: 1864.4376, usercpu_time_millis: 0.327, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1542, 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: 1826.1793, usercpu_time_millis: 0.491, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7624, kappa: 0.4701, kb_relative_information_score: 244.4553, mean_absolute_error: 0.3158, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7618, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6949, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8264, scimark_benchmark: 1851.1818, usercpu_time_millis: 3.954, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 3.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.7619, kappa: 0.4717, kb_relative_information_score: 249.1696, mean_absolute_error: 0.3099, 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: 0.6818, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8434, scimark_benchmark: 1865.5787, usercpu_time_millis: 0.626, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.5134, kb_relative_information_score: 0.0392, 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: 1843.8706, usercpu_time_millis: 1.41, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 1.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7588, kappa: 0.4599, kb_relative_information_score: 223.0595, mean_absolute_error: 0.3307, 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: 0.7275, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8304, scimark_benchmark: 1865.5787, usercpu_time_millis: 1.77, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 1.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.7553, kappa: 0.4494, kb_relative_information_score: 171.7342, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7626, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8552, scimark_benchmark: 1848.9608, usercpu_time_millis: 1.848, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 1.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.7663, kappa: 0.4818, kb_relative_information_score: 256.7996, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7652, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8333, scimark_benchmark: 1860.2646, usercpu_time_millis: 10.129, usercpu_time_millis_testing: 1.162, usercpu_time_millis_training: 8.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.6834, kappa: 0.2934, kb_relative_information_score: 121.3173, mean_absolute_error: 0.3925, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7338, predictive_accuracy: 0.724, prior_entropy: 0.9335, recall: 0.724, relative_absolute_error: 0.8636, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8898, scimark_benchmark: 1842.8599, usercpu_time_millis: 2.21, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 1.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1678, 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: 1846.6923, usercpu_time_millis: 0.662, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 0.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7633, kappa: 0.4703, kb_relative_information_score: 196.4019, mean_absolute_error: 0.3464, 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: 0.7622, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8432, scimark_benchmark: 1852.6084, usercpu_time_millis: 2.071, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 1.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7653, kappa: 0.4803, kb_relative_information_score: 254.0358, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7643, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8387, scimark_benchmark: 1815.9833, usercpu_time_millis: 12.194, usercpu_time_millis_testing: 1.405, usercpu_time_millis_training: 10.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7477, kappa: 0.4318, kb_relative_information_score: 166.2972, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.758, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.8029, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8591, scimark_benchmark: 1832.0698, usercpu_time_millis: 4.404, usercpu_time_millis_testing: 0.634, usercpu_time_millis_training: 3.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.7562, kappa: 0.4581, kb_relative_information_score: 237.0099, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7549, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8338, scimark_benchmark: 1845.7061, usercpu_time_millis: 0.965, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 0.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.7607, kappa: 0.4657, kb_relative_information_score: 241.9025, mean_absolute_error: 0.3173, 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: 0.6981, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.8301, scimark_benchmark: 1847.7988, usercpu_time_millis: 0.338, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.7616, kappa: 0.4672, kb_relative_information_score: 229.333, mean_absolute_error: 0.3261, 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: 0.7174, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8329, scimark_benchmark: 1843.1016, usercpu_time_millis: 0.52, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.7543, kappa: 0.4494, kb_relative_information_score: 198.3364, mean_absolute_error: 0.3451, 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: 0.7594, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8432, scimark_benchmark: 1867.6581, usercpu_time_millis: 6.808, usercpu_time_millis_testing: 1.08, usercpu_time_millis_training: 5.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0801, 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: 1845.181, usercpu_time_millis: 0.977, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 0.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7648, kappa: 0.4785, kb_relative_information_score: 243.8871, mean_absolute_error: 0.3151, 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: 0.6933, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8353, scimark_benchmark: 1843.6693, usercpu_time_millis: 2.999, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 2.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7505, kappa: 0.4408, kb_relative_information_score: 214.6783, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7514, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.8358, scimark_benchmark: 1846.6923, usercpu_time_millis: 3.375, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 2.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7662, kappa: 0.4797, kb_relative_information_score: 241.0514, mean_absolute_error: 0.3184, 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: 0.7005, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.8276, scimark_benchmark: 1872.0299, usercpu_time_millis: 1.032, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.937,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.7543, kappa: 0.4494, kb_relative_information_score: 213.2516, mean_absolute_error: 0.3368, 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: 0.7411, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8362, scimark_benchmark: 1865.4271, usercpu_time_millis: 1.712, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 1.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7658, kappa: 0.48, kb_relative_information_score: 230.3636, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7646, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7143, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8347, scimark_benchmark: 1834.5617, usercpu_time_millis: 0.489, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7464, kappa: 0.4294, kb_relative_information_score: 182.1313, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.752, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7828, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8491, scimark_benchmark: 1856.2273, usercpu_time_millis: 1.563, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 1.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.7619, kappa: 0.4717, kb_relative_information_score: 249.2592, mean_absolute_error: 0.3116, 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: 0.6856, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.83, scimark_benchmark: 1840.8934, usercpu_time_millis: 3.474, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 3.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7548, kappa: 0.4518, kb_relative_information_score: 241.4652, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7545, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.8271, scimark_benchmark: 1823.9279, usercpu_time_millis: 3.742, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 3.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7684, kappa: 0.4859, kb_relative_information_score: 257.4862, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7673, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.8281, scimark_benchmark: 1821.6726, usercpu_time_millis: 5.6, usercpu_time_millis_testing: 0.587, usercpu_time_millis_training: 5.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7624, kappa: 0.4701, kb_relative_information_score: 223.9469, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7618, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7205, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8391, scimark_benchmark: 1856.2273, usercpu_time_millis: 0.169, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.7341, kappa: 0.4011, kb_relative_information_score: 138.8241, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7567, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.8383, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8768, scimark_benchmark: 1867.5457, usercpu_time_millis: 0.785, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7642, kappa: 0.4744, kb_relative_information_score: 227.8602, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7634, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8313, scimark_benchmark: 1826.5209, usercpu_time_millis: 6.947, usercpu_time_millis_testing: 0.989, usercpu_time_millis_training: 5.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: -0.0026, 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: 1822.9014, usercpu_time_millis: 0.995, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 0.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7675, kappa: 0.4798, kb_relative_information_score: 214.594, mean_absolute_error: 0.335, 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: 0.737, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8407, scimark_benchmark: 1836.5917, usercpu_time_millis: 1.1, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.5635, kappa: 0.0772, kb_relative_information_score: 80.8701, mean_absolute_error: 0.4143, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7094, predictive_accuracy: 0.6693, prior_entropy: 0.9335, recall: 0.6693, relative_absolute_error: 0.9115, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.9236, scimark_benchmark: 1851.4233, usercpu_time_millis: 1.267, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.5635, kappa: 0.0772, kb_relative_information_score: 80.162, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7094, predictive_accuracy: 0.6693, prior_entropy: 0.9335, recall: 0.6693, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.9244, scimark_benchmark: 1864.5227, usercpu_time_millis: 0.232, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.766, kappa: 0.4809, kb_relative_information_score: 256.6203, mean_absolute_error: 0.3055, 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: 0.6721, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.8359, scimark_benchmark: 1807.542, usercpu_time_millis: 1.165, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 1.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.7496, kappa: 0.4394, kb_relative_information_score: 176.8808, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.75, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7836, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8637, scimark_benchmark: 1806.2121, usercpu_time_millis: 0.102, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5134, kb_relative_information_score: 0.1347, 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: 1815.5122, usercpu_time_millis: 0.61, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 0.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -0.2281, 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: 1845.2111, usercpu_time_millis: 0.28, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.7471, kappa: 0.4328, kb_relative_information_score: 196.3686, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7485, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.7628, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8497, scimark_benchmark: 1842.3488, usercpu_time_millis: 2.343, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 2.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7636, kappa: 0.4726, kb_relative_information_score: 238.7797, mean_absolute_error: 0.3197, 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: 0.7035, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.8292, scimark_benchmark: 1838.1863, usercpu_time_millis: 3.859, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 3.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7621, kappa: 0.4704, kb_relative_information_score: 240.2889, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7611, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.8275, scimark_benchmark: 1847.2077, usercpu_time_millis: 5.924, usercpu_time_millis_testing: 0.731, usercpu_time_millis_training: 5.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7645, kappa: 0.4754, kb_relative_information_score: 230.7128, mean_absolute_error: 0.3251, 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: 0.7154, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.83, scimark_benchmark: 1831.2156, usercpu_time_millis: 5.956, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 5.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0457, 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: 1868.7112, usercpu_time_millis: 0.584, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 0.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.7646, kappa: 0.4775, kb_relative_information_score: 255.9709, mean_absolute_error: 0.3067, 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: 0.6749, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8305, scimark_benchmark: 1812.5296, usercpu_time_millis: 9.701, usercpu_time_millis_testing: 1.155, usercpu_time_millis_training: 8.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.7104, kappa: 0.3496, kb_relative_information_score: 139.5165, mean_absolute_error: 0.3813, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7111, predictive_accuracy: 0.7214, prior_entropy: 0.9335, recall: 0.7214, relative_absolute_error: 0.8391, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.8907, scimark_benchmark: 1825.2596, usercpu_time_millis: 1.362, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 1.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.7704, kappa: 0.4878, kb_relative_information_score: 202.3362, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.77, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8431, scimark_benchmark: 1815.5122, usercpu_time_millis: 10.78, usercpu_time_millis_testing: 1.823, usercpu_time_millis_training: 8.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7679, kappa: 0.484, kb_relative_information_score: 239.502, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7668, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7006, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8334, scimark_benchmark: 1860.9838, usercpu_time_millis: 4.244, usercpu_time_millis_testing: 0.573, usercpu_time_millis_training: 3.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7456, kappa: 0.4347, kb_relative_information_score: 260.7795, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7442, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8437, scimark_benchmark: 1844.3816, usercpu_time_millis: 1.965, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 1.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.5134, kb_relative_information_score: -0.541, 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: 1, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1, scimark_benchmark: 1831.4747, usercpu_time_millis: 0.221, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1613, 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: 1809.5861, usercpu_time_millis: 1.011, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 0.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.7154, kappa: 0.3609, kb_relative_information_score: 116.6258, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7528, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8975, scimark_benchmark: 1823.9279, usercpu_time_millis: 1.31, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 1.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7559, kappa: 0.4543, kb_relative_information_score: 229.4135, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7558, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.716, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.834, scimark_benchmark: 1867.6581, usercpu_time_millis: 0.698, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.7717, kappa: 0.4924, kb_relative_information_score: 224.9913, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7708, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.7231, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8309, scimark_benchmark: 1849.4065, usercpu_time_millis: 7.283, usercpu_time_millis_testing: 1.133, usercpu_time_millis_training: 6.15,

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