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: 0.8274, f_measure: 0.7624, kappa: 0.4674, kb_relative_information_score: 250.2318, mean_absolute_error: 0.3129, 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: 0.6884, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.834, scimark_benchmark: 1885.2131, usercpu_time_millis: 4.829, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 4.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.7598, kappa: 0.461, kb_relative_information_score: 227.6087, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8399, scimark_benchmark: 1749.9829, usercpu_time_millis: 3.26, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 3.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2923, f_measure: 0.5134, kb_relative_information_score: -73.8405, mean_absolute_error: 0.4786, 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: 1.053, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4858, root_relative_squared_error: 1.0192, scimark_benchmark: 1834.463, usercpu_time_millis: 0.083, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7657, kappa: 0.4753, kb_relative_information_score: 247.0897, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7668, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6919, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8362, scimark_benchmark: 1757.7298, usercpu_time_millis: 5.415, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 5.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6442, f_measure: 0.5405, kappa: 0.0402, kb_relative_information_score: 1.2633, mean_absolute_error: 0.4528, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.697, predictive_accuracy: 0.6602, prior_entropy: 0.9335, recall: 0.6602, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9836, scimark_benchmark: 1873.4078, usercpu_time_millis: 4.012, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 4.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.7406, kappa: 0.4223, kb_relative_information_score: 253.8899, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7392, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.6715, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8698, scimark_benchmark: 1747.1364, usercpu_time_millis: 10.747, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 10.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.7461, kappa: 0.4282, kb_relative_information_score: 157.6593, mean_absolute_error: 0.3724, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7567, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.8193, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8701, scimark_benchmark: 1752.841, usercpu_time_millis: 0.6, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.7125, kappa: 0.3652, kb_relative_information_score: 239.9299, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7116, predictive_accuracy: 0.7135, prior_entropy: 0.9335, recall: 0.7135, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9741, scimark_benchmark: 1758.2642, usercpu_time_millis: 15.93, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 15.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7587, kappa: 0.4584, kb_relative_information_score: 226.2671, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8429, scimark_benchmark: 1752.841, usercpu_time_millis: 1.605, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 1.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.7333, kappa: 0.4085, kb_relative_information_score: 248.9707, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7318, predictive_accuracy: 0.7357, prior_entropy: 0.9335, recall: 0.7357, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.9195, scimark_benchmark: 1908.9849, usercpu_time_millis: 18.542, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 18.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.753, kappa: 0.4443, kb_relative_information_score: 193.8245, mean_absolute_error: 0.3497, 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: 0.7694, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8494, scimark_benchmark: 1871.5019, usercpu_time_millis: 7.917, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 7.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 254.8993, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6827, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1927.1597, usercpu_time_millis: 4.206, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 4.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.5247, kappa: 0.0167, kb_relative_information_score: 84.1023, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7049, predictive_accuracy: 0.6549, prior_entropy: 0.9335, recall: 0.6549, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.9225, scimark_benchmark: 1754.1079, usercpu_time_millis: 12.654, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 12.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.771, kappa: 0.4861, kb_relative_information_score: 245.4052, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.774, predictive_accuracy: 0.7786, prior_entropy: 0.9335, recall: 0.7786, relative_absolute_error: 0.6973, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8317, scimark_benchmark: 1930.8787, usercpu_time_millis: 4.535, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 4.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7672, kappa: 0.4772, kb_relative_information_score: 232.2973, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7716, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8342, scimark_benchmark: 1748.6153, usercpu_time_millis: 6.009, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 6.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 253.9984, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.684, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8316, scimark_benchmark: 1880.137, usercpu_time_millis: 8.372, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 8.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 254.6074, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.683, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8317, scimark_benchmark: 1754.2126, usercpu_time_millis: 3.684, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 3.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7645, f_measure: 0.6748, kappa: 0.2757, kb_relative_information_score: 76.5295, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7291, predictive_accuracy: 0.7188, prior_entropy: 0.9335, recall: 0.7188, relative_absolute_error: 0.9173, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.9265, scimark_benchmark: 1741.8668, usercpu_time_millis: 4.737, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 4.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.5134, kb_relative_information_score: -10.4216, mean_absolute_error: 0.4576, 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: 1.0069, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0003, scimark_benchmark: 1753.7072, usercpu_time_millis: 12.353, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 12.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, 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: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049, scimark_benchmark: 1757.4543, usercpu_time_millis: 4.832, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 4.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, f_measure: 0.6425, kappa: 0.2082, kb_relative_information_score: 52.605, mean_absolute_error: 0.4279, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6978, predictive_accuracy: 0.6966, prior_entropy: 0.9335, recall: 0.6966, relative_absolute_error: 0.9414, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9477, scimark_benchmark: 1743.0189, usercpu_time_millis: 7.835, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 7.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5134, kb_relative_information_score: -101.2394, mean_absolute_error: 0.4889, 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: 1.0758, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4902, root_relative_squared_error: 1.0284, scimark_benchmark: 1754.1079, usercpu_time_millis: 6.04, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 6.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.6436, kappa: 0.2099, kb_relative_information_score: 97.9479, mean_absolute_error: 0.4034, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6966, predictive_accuracy: 0.6966, prior_entropy: 0.9335, recall: 0.6966, relative_absolute_error: 0.8875, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.9122, scimark_benchmark: 1937.7959, usercpu_time_millis: 5.815, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 5.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.7501, kappa: 0.4435, kb_relative_information_score: 247.1913, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7488, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8475, scimark_benchmark: 1753.7679, usercpu_time_millis: 14.704, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 14.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.7632, kappa: 0.469, kb_relative_information_score: 239.4394, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7655, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8388, scimark_benchmark: 1753.7679, usercpu_time_millis: 6.293, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 6.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7239, kappa: 0.3778, kb_relative_information_score: 116.9925, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7394, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.8695, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.428, root_relative_squared_error: 0.898, scimark_benchmark: 1889.1198, usercpu_time_millis: 1.474, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 1.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7624, kappa: 0.4674, kb_relative_information_score: 249.6136, mean_absolute_error: 0.3132, 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: 0.6891, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8344, scimark_benchmark: 1749.9829, usercpu_time_millis: 5.734, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 5.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7533, kappa: 0.4463, kb_relative_information_score: 216.6414, mean_absolute_error: 0.3349, 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: 0.7368, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8405, scimark_benchmark: 1753.3033, usercpu_time_millis: 1.582, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 1.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.7599, kappa: 0.4606, kb_relative_information_score: 219.4124, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7646, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7324, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8413, scimark_benchmark: 1749.3291, usercpu_time_millis: 2.96, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 2.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.6255, kappa: 0.1751, kb_relative_information_score: 39.6786, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6866, predictive_accuracy: 0.6875, prior_entropy: 0.9335, recall: 0.6875, relative_absolute_error: 0.955, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9567, scimark_benchmark: 1750.4915, usercpu_time_millis: 6.616, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 6.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7657, kappa: 0.4753, kb_relative_information_score: 247.8163, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7668, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8357, scimark_benchmark: 1749.4259, usercpu_time_millis: 0.605, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 0.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, 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: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049, scimark_benchmark: 1753.3033, usercpu_time_millis: 12.239, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 12.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7691, kappa: 0.4817, kb_relative_information_score: 237.6002, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7728, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.7091, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8328, scimark_benchmark: 1753.7072, usercpu_time_millis: 2.977, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 2.974,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.5672, kappa: 0.0812, kb_relative_information_score: 41.6817, mean_absolute_error: 0.4358, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6955, predictive_accuracy: 0.6693, prior_entropy: 0.9335, recall: 0.6693, relative_absolute_error: 0.959, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9433, scimark_benchmark: 1753.6457, usercpu_time_millis: 9.362, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 9.31,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.762, kappa: 0.4664, kb_relative_information_score: 249.8525, mean_absolute_error: 0.3132, 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: 0.6892, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8341, scimark_benchmark: 1868.7112, usercpu_time_millis: 5.043, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 5.035,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.7547, kappa: 0.4547, kb_relative_information_score: 251.7288, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7534, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6786, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8609, scimark_benchmark: 1878.3273, usercpu_time_millis: 11.074, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 11.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.7598, kappa: 0.461, kb_relative_information_score: 231.3132, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7147, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8411, scimark_benchmark: 1754.6748, usercpu_time_millis: 5.783, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 5.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7635, kappa: 0.4699, kb_relative_information_score: 250.0842, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8339, scimark_benchmark: 788.7358, usercpu_time_millis: 6.031, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 6.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.7524, kappa: 0.4484, kb_relative_information_score: 253.4975, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7513, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.6795, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.841, scimark_benchmark: 1762.4678, usercpu_time_millis: 7.601, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 7.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7316, kappa: 0.3951, kb_relative_information_score: 169.3436, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7443, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.7989, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.418, root_relative_squared_error: 0.8769, scimark_benchmark: 787.8104, usercpu_time_millis: 7.39, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 7.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7695, f_measure: 0.7239, kappa: 0.3895, kb_relative_information_score: 267.0358, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7228, predictive_accuracy: 0.7253, prior_entropy: 0.9335, recall: 0.7253, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9848, scimark_benchmark: 1877.2162, usercpu_time_millis: 13.246, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 13.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.7222, kappa: 0.3743, kb_relative_information_score: 125.8576, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7408, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.8582, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8923, scimark_benchmark: 787.5702, usercpu_time_millis: 12.945, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 12.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, 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: 1888.1756, usercpu_time_millis: 0.225, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.758, kappa: 0.4555, kb_relative_information_score: 207.2683, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7656, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7529, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8425, scimark_benchmark: 1890.337, usercpu_time_millis: 0.433, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 0.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.7538, kappa: 0.4452, kb_relative_information_score: 172.4301, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7695, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8585, scimark_benchmark: 1747.5976, usercpu_time_millis: 0.192, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 0.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, 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: 1868.7112, usercpu_time_millis: 0.355, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7656, kappa: 0.4741, kb_relative_information_score: 247.467, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7684, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6944, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8309, scimark_benchmark: 1868.6447, usercpu_time_millis: 0.575, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 0.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, 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: 1750.7876, usercpu_time_millis: 0.208, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 0.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, 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: 1753.7072, usercpu_time_millis: 0.084, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, 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: 1749.9829, usercpu_time_millis: 0.081, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, 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: 1754.1079, usercpu_time_millis: 0.079, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, 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: 1755.5434, usercpu_time_millis: 0.082, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7656, kappa: 0.4741, kb_relative_information_score: 249.5301, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7684, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6913, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8308, scimark_benchmark: 1752.1591, usercpu_time_millis: 0.205, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.5134, kb_relative_information_score: 50.7417, mean_absolute_error: 0.4313, 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: 0.949, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9541, scimark_benchmark: 1747.4929, usercpu_time_millis: 0.195, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 0.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, 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: 1737.8912, usercpu_time_millis: 0.091, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7698, kappa: 0.4836, kb_relative_information_score: 251.818, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7726, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8312, scimark_benchmark: 1747.4929, usercpu_time_millis: 0.198, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, 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: 1749.9829, usercpu_time_millis: 0.081, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.5134, kb_relative_information_score: 15.421, mean_absolute_error: 0.4477, 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: 0.9851, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9859, scimark_benchmark: 1743.3267, usercpu_time_millis: 0.209, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 0.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, 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: 1803.4277, usercpu_time_millis: 0.075, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, 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: 1746.6883, usercpu_time_millis: 0.076, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, 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: 1809.5747, usercpu_time_millis: 0.074, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, 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: 1810.4746, usercpu_time_millis: 0.075, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.6427, kappa: 0.2168, kb_relative_information_score: 87.3165, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7352, predictive_accuracy: 0.7057, prior_entropy: 0.9335, recall: 0.7057, relative_absolute_error: 0.9081, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.44, root_relative_squared_error: 0.9231, scimark_benchmark: 1811.3339, usercpu_time_millis: 0.203, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 0.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, 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: 1801.481, usercpu_time_millis: 0.084, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, 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: 1810.4746, usercpu_time_millis: 0.084, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7701, kappa: 0.4845, kb_relative_information_score: 253.5583, mean_absolute_error: 0.3113, 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: 0.6848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8313, scimark_benchmark: 1806.5109, usercpu_time_millis: 0.22, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 0.043,

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