OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 145976 Supervised Classification diabetes 67074 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7605, kappa: 0.4683, kb_relative_information_score: 264.0096, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7593, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8419, scimark_benchmark: 1698.0041, usercpu_time_millis: 20.274, usercpu_time_millis_testing: 2.131, usercpu_time_millis_training: 18.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7672, kappa: 0.4834, kb_relative_information_score: 263.9213, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7661, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8415, scimark_benchmark: 770.0103, usercpu_time_millis: 26.982, usercpu_time_millis_testing: 1.287, usercpu_time_millis_training: 25.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.7193, kappa: 0.3682, kb_relative_information_score: 139.8155, mean_absolute_error: 0.3814, 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: 0.8392, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8852, scimark_benchmark: 1767.6756, usercpu_time_millis: 1.133, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 0.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7736, kappa: 0.4956, kb_relative_information_score: 236.3731, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.773, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.705, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.836, scimark_benchmark: 1781.8736, usercpu_time_millis: 3.755, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 3.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7636, kappa: 0.4713, kb_relative_information_score: 233.4875, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7641, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7112, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8288, scimark_benchmark: 1702.2615, usercpu_time_millis: 1.525, usercpu_time_millis_testing: 0.585, usercpu_time_millis_training: 0.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.7577, kappa: 0.4574, kb_relative_information_score: 210.2577, mean_absolute_error: 0.3373, 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: 0.7421, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8438, scimark_benchmark: 1809.0359, usercpu_time_millis: 7.19, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 6.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7624, kappa: 0.4714, kb_relative_information_score: 255.9303, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6767, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1736.4377, usercpu_time_millis: 8.128, usercpu_time_millis_testing: 0.606, usercpu_time_millis_training: 7.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.7604, kappa: 0.4661, kb_relative_information_score: 252.2599, mean_absolute_error: 0.3107, 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: 0.6836, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.394, root_relative_squared_error: 0.8265, scimark_benchmark: 1706.2803, usercpu_time_millis: 5.247, usercpu_time_millis_testing: 0.601, usercpu_time_millis_training: 4.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.7129, kappa: 0.3542, kb_relative_information_score: 135.4694, mean_absolute_error: 0.3829, 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: 0.8425, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8799, scimark_benchmark: 1724.0991, usercpu_time_millis: 1.637, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 1.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.7279, kappa: 0.387, kb_relative_information_score: 128.3442, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7475, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8911, scimark_benchmark: 1727.2694, usercpu_time_millis: 1.452, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 1.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7582, kappa: 0.4579, kb_relative_information_score: 224.7017, mean_absolute_error: 0.3294, 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: 0.7249, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8317, scimark_benchmark: 1695.3681, usercpu_time_millis: 1.908, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 1.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7705, kappa: 0.4899, kb_relative_information_score: 248.2716, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7695, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6888, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8304, scimark_benchmark: 1813.8325, usercpu_time_millis: 12.063, usercpu_time_millis_testing: 0.942, usercpu_time_millis_training: 11.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7662, kappa: 0.476, kb_relative_information_score: 236.3463, mean_absolute_error: 0.3217, 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: 0.7079, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8329, scimark_benchmark: 1796.3041, usercpu_time_millis: 0.465, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7583, kappa: 0.4593, kb_relative_information_score: 237.094, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7585, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8308, scimark_benchmark: 1697.4345, usercpu_time_millis: 1.564, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 1.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.7605, kappa: 0.4705, kb_relative_information_score: 261.3536, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7596, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6608, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8487, scimark_benchmark: 1741.2968, usercpu_time_millis: 14.841, usercpu_time_millis_testing: 0.943, usercpu_time_millis_training: 13.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.772, kappa: 0.4933, kb_relative_information_score: 255.4592, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8389, scimark_benchmark: 1804.6831, usercpu_time_millis: 14.293, usercpu_time_millis_testing: 0.839, usercpu_time_millis_training: 13.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.7242, kappa: 0.3802, kb_relative_information_score: 118.3005, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7594, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.8699, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.896, scimark_benchmark: 1719.2227, usercpu_time_millis: 1.857, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 1.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.7455, kappa: 0.4388, kb_relative_information_score: 258.2474, mean_absolute_error: 0.3004, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.745, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8669, scimark_benchmark: 1713.6673, usercpu_time_millis: 14.589, usercpu_time_millis_testing: 1.339, usercpu_time_millis_training: 13.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7621, kappa: 0.4704, kb_relative_information_score: 252.9695, mean_absolute_error: 0.31, 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: 0.6821, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.8278, scimark_benchmark: 778.5088, usercpu_time_millis: 20.027, usercpu_time_millis_testing: 1.298, usercpu_time_millis_training: 18.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.5134, kb_relative_information_score: 0.0675, 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: 1691.1644, usercpu_time_millis: 1.54, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 1.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7717, kappa: 0.4924, kb_relative_information_score: 253.4991, mean_absolute_error: 0.3091, 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: 0.68, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8328, scimark_benchmark: 1772.7534, usercpu_time_millis: 12.756, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 11.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7647, kappa: 0.4763, kb_relative_information_score: 251.6568, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7637, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.683, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.832, scimark_benchmark: 1737.8319, usercpu_time_millis: 9.984, usercpu_time_millis_testing: 0.705, usercpu_time_millis_training: 9.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7705, kappa: 0.4899, kb_relative_information_score: 254.722, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7695, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8365, scimark_benchmark: 1708.2818, usercpu_time_millis: 14.687, usercpu_time_millis_testing: 0.903, usercpu_time_millis_training: 13.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7671, kappa: 0.4813, kb_relative_information_score: 244.773, mean_absolute_error: 0.3158, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7663, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6949, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.8276, scimark_benchmark: 1831.785, usercpu_time_millis: 8.698, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 7.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7567, kappa: 0.4544, kb_relative_information_score: 228.4434, mean_absolute_error: 0.3269, 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: 0.7192, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8345, scimark_benchmark: 1766.7385, usercpu_time_millis: 3.746, usercpu_time_millis_testing: 0.653, usercpu_time_millis_training: 3.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.7262, kappa: 0.3849, kb_relative_information_score: 173.9748, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7284, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8705, scimark_benchmark: 1729.0586, usercpu_time_millis: 2.165, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 1.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.7604, kappa: 0.4661, kb_relative_information_score: 250.588, mean_absolute_error: 0.3116, 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: 0.6856, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.827, scimark_benchmark: 1696.3003, usercpu_time_millis: 8.199, usercpu_time_millis_testing: 0.82, usercpu_time_millis_training: 7.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7412, kappa: 0.426, kb_relative_information_score: 258.8273, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7398, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.6625, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8519, scimark_benchmark: 1740.384, usercpu_time_millis: 8.983, usercpu_time_millis_testing: 0.537, usercpu_time_millis_training: 8.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.7205, kappa: 0.3707, kb_relative_information_score: 146.3224, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7256, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8893, scimark_benchmark: 1747.7324, usercpu_time_millis: 1.695, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 1.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.7603, kappa: 0.4634, kb_relative_information_score: 224.9984, mean_absolute_error: 0.3286, 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: 0.7229, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8365, scimark_benchmark: 1763.4666, usercpu_time_millis: 4.236, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 3.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7728, kappa: 0.4917, kb_relative_information_score: 237.8017, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7737, predictive_accuracy: 0.7786, prior_entropy: 0.9335, recall: 0.7786, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8287, scimark_benchmark: 1759.041, usercpu_time_millis: 2.627, usercpu_time_millis_testing: 0.419, usercpu_time_millis_training: 2.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.5859, kappa: 0.1126, kb_relative_information_score: 86.1049, mean_absolute_error: 0.4126, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7042, predictive_accuracy: 0.6771, prior_entropy: 0.9335, recall: 0.6771, relative_absolute_error: 0.9078, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.92, scimark_benchmark: 1724.2963, usercpu_time_millis: 1.179, usercpu_time_millis_testing: 0.485, usercpu_time_millis_training: 0.694,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7627, kappa: 0.471, kb_relative_information_score: 244.9532, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.762, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6956, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.8247, scimark_benchmark: 1851.5723, usercpu_time_millis: 5.536, usercpu_time_millis_testing: 0.508, usercpu_time_millis_training: 5.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.7669, kappa: 0.4791, kb_relative_information_score: 241.5994, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.767, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.8263, scimark_benchmark: 1832.671, usercpu_time_millis: 4.099, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 3.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.6812, kappa: 0.2927, kb_relative_information_score: 113.3488, mean_absolute_error: 0.3972, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.753, predictive_accuracy: 0.7279, prior_entropy: 0.9335, recall: 0.7279, relative_absolute_error: 0.8739, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8964, scimark_benchmark: 1860.7926, usercpu_time_millis: 1.188, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 1.017,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7526, kappa: 0.4508, kb_relative_information_score: 261.7695, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7513, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8402, scimark_benchmark: 1864.9656, usercpu_time_millis: 2.98, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 2.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7595, kappa: 0.4632, kb_relative_information_score: 244.2944, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7589, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6955, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8309, scimark_benchmark: 1864.7271, usercpu_time_millis: 2.282, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 2.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.7207, kappa: 0.3725, kb_relative_information_score: 127.3366, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7568, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.8596, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8878, scimark_benchmark: 1759.5241, usercpu_time_millis: 1.365, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 1.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7672, kappa: 0.4788, kb_relative_information_score: 232.1114, mean_absolute_error: 0.3247, 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: 0.7145, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.828, scimark_benchmark: 1868.784, usercpu_time_millis: 1.485, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 1.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.5134, kb_relative_information_score: 0.2077, 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: 1864.5074, usercpu_time_millis: 1.222, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.603, kappa: 0.1442, kb_relative_information_score: 86.3688, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7213, predictive_accuracy: 0.6862, prior_entropy: 0.9335, recall: 0.6862, relative_absolute_error: 0.9073, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.9198, scimark_benchmark: 1852.1552, usercpu_time_millis: 0.656, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7588, kappa: 0.4599, kb_relative_information_score: 209.5618, mean_absolute_error: 0.3385, 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: 0.7448, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8405, scimark_benchmark: 1869.8223, usercpu_time_millis: 0.918, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 0.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.7354, kappa: 0.4049, kb_relative_information_score: 165.3382, mean_absolute_error: 0.3669, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7402, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.8073, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8698, scimark_benchmark: 1864.4376, usercpu_time_millis: 1.023, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 0.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.7436, kappa: 0.4246, kb_relative_information_score: 193.4152, mean_absolute_error: 0.3486, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7456, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.767, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8519, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.603, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1308, 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: 1760.4179, usercpu_time_millis: 1.663, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 1.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1302, 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: 1846.9557, usercpu_time_millis: 1.068, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.77, kappa: 0.4881, kb_relative_information_score: 246.6356, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7691, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6901, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.83, scimark_benchmark: 1759.4149, usercpu_time_millis: 0.553, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7484, kappa: 0.4369, kb_relative_information_score: 230.2363, mean_absolute_error: 0.3255, 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: 0.7161, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.83, scimark_benchmark: 1779.2484, usercpu_time_millis: 5.262, usercpu_time_millis_testing: 0.669, usercpu_time_millis_training: 4.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.756, kappa: 0.4595, kb_relative_information_score: 261.6276, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7549, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8483, scimark_benchmark: 1786.3685, usercpu_time_millis: 3.767, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 3.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.7456, kappa: 0.428, kb_relative_information_score: 184.8698, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7503, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8491, scimark_benchmark: 1782.3358, usercpu_time_millis: 1.659, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 1.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.7702, kappa: 0.4857, kb_relative_information_score: 232.5769, mean_absolute_error: 0.3247, 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: 0.7145, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.394, root_relative_squared_error: 0.8266, scimark_benchmark: 1781.5207, usercpu_time_millis: 2.734, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 2.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7606, kappa: 0.4643, kb_relative_information_score: 240.4557, mean_absolute_error: 0.319, 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: 0.7018, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8309, scimark_benchmark: 1783.348, usercpu_time_millis: 1.638, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 1.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5134, kb_relative_information_score: 0.1471, 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: 1743.1166, usercpu_time_millis: 1.616, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 1.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5134, kb_relative_information_score: -0.2327, 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: 1784.7759, usercpu_time_millis: 0.451, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 0.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.7698, kappa: 0.4872, kb_relative_information_score: 250.4209, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.769, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6856, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8305, scimark_benchmark: 1883.6676, usercpu_time_millis: 3.184, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 2.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7419, kappa: 0.419, kb_relative_information_score: 176.9583, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7498, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.7899, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8522, scimark_benchmark: 1883.1337, usercpu_time_millis: 3.051, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 2.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7553, kappa: 0.4524, kb_relative_information_score: 239.8949, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7557, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.8279, scimark_benchmark: 1883.6676, usercpu_time_millis: 2.528, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 2.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7713, kappa: 0.4926, kb_relative_information_score: 258.9604, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7702, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8343, scimark_benchmark: 1867.1999, usercpu_time_millis: 11.7, usercpu_time_millis_testing: 0.742, usercpu_time_millis_training: 10.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7684, kappa: 0.4859, kb_relative_information_score: 257.8447, mean_absolute_error: 0.3056, 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: 0.6724, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8346, scimark_benchmark: 1863.9794, usercpu_time_millis: 12.348, usercpu_time_millis_testing: 0.886, usercpu_time_millis_training: 11.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.7676, kappa: 0.4831, kb_relative_information_score: 252.7387, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7666, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.8275, scimark_benchmark: 2141.9383, usercpu_time_millis: 5.935, usercpu_time_millis_testing: 0.478, usercpu_time_millis_training: 5.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.7701, kappa: 0.4901, kb_relative_information_score: 257.6838, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.769, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.837, scimark_benchmark: 1862.4951, usercpu_time_millis: 3.298, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 3.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7551, kappa: 0.4509, kb_relative_information_score: 221.0469, mean_absolute_error: 0.3321, 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: 0.7307, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8316, scimark_benchmark: 1857.4263, usercpu_time_millis: 2.604, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 2.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.7586, kappa: 0.4617, kb_relative_information_score: 249.0783, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7578, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8256, scimark_benchmark: 1859.3512, usercpu_time_millis: 4.021, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 3.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.7579, kappa: 0.4648, kb_relative_information_score: 257.9581, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.757, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8511, scimark_benchmark: 1863.9794, usercpu_time_millis: 3.589, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 3.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7619, kappa: 0.4682, kb_relative_information_score: 246.3176, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7616, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.394, root_relative_squared_error: 0.8265, scimark_benchmark: 2055.0016, usercpu_time_millis: 6.007, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 5.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7693, kappa: 0.4874, kb_relative_information_score: 259.1289, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7683, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6688, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8385, scimark_benchmark: 1863.8212, usercpu_time_millis: 1.776, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 1.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7313, kappa: 0.3953, kb_relative_information_score: 139.4982, mean_absolute_error: 0.3835, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7605, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.8438, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8776, scimark_benchmark: 1863.9794, usercpu_time_millis: 0.268, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.222,

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