OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131682 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: 0.8271, f_measure: 0.7556, kappa: 0.4533, kb_relative_information_score: 230.168, mean_absolute_error: 0.325, 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: 0.715, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8362, scimark_benchmark: 1870.2804, usercpu_time_millis: 0.181, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.7612, kappa: 0.4689, kb_relative_information_score: 241.8855, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.76, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6984, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8304, scimark_benchmark: 1861.3236, usercpu_time_millis: 8.209, usercpu_time_millis_testing: 0.96, usercpu_time_millis_training: 7.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7341, kappa: 0.4063, kb_relative_information_score: 175.6134, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7329, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.7862, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.872, scimark_benchmark: 1870.742, usercpu_time_millis: 0.919, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 0.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, f_measure: 0.7366, kappa: 0.4065, kb_relative_information_score: 133.3984, mean_absolute_error: 0.3859, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.751, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8845, scimark_benchmark: 1853.4984, usercpu_time_millis: 0.984, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.7618, kappa: 0.4695, kb_relative_information_score: 228.3122, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7609, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7176, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8328, scimark_benchmark: 1857.5664, usercpu_time_millis: 8.338, usercpu_time_millis_testing: 1.141, usercpu_time_millis_training: 7.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.7343, kappa: 0.4014, kb_relative_information_score: 136.7594, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7474, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8814, scimark_benchmark: 1873.5293, usercpu_time_millis: 1.469, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 1.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.7702, kappa: 0.4857, kb_relative_information_score: 206.6935, mean_absolute_error: 0.3409, 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: 0.75, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8371, scimark_benchmark: 1870.742, usercpu_time_millis: 1.548, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 1.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7648, kappa: 0.4738, kb_relative_information_score: 224.8199, mean_absolute_error: 0.3295, 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: 0.7249, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.8292, scimark_benchmark: 1865.8853, usercpu_time_millis: 1.96, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 1.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.5968, kappa: 0.1367, kb_relative_information_score: 85.2919, mean_absolute_error: 0.4129, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7427, predictive_accuracy: 0.6862, prior_entropy: 0.9335, recall: 0.6862, relative_absolute_error: 0.9084, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9204, scimark_benchmark: 1850.6792, usercpu_time_millis: 0.65, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 0.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.6742, kappa: 0.2777, kb_relative_information_score: 112.7634, mean_absolute_error: 0.3966, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7454, predictive_accuracy: 0.7227, prior_entropy: 0.9335, recall: 0.7227, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8957, scimark_benchmark: 1872.5609, usercpu_time_millis: 2.017, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 1.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.7428, kappa: 0.4232, kb_relative_information_score: 181.6597, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7442, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8584, scimark_benchmark: 1868.1832, usercpu_time_millis: 2.021, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 1.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.7396, kappa: 0.4139, kb_relative_information_score: 164.6813, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7466, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.8085, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8628, scimark_benchmark: 1870.1619, usercpu_time_millis: 0.413, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.731, kappa: 0.3943, kb_relative_information_score: 147.5496, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7377, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.8311, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8761, scimark_benchmark: 1864.9731, usercpu_time_millis: 2.082, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 1.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.77, kappa: 0.4881, kb_relative_information_score: 245.1385, mean_absolute_error: 0.3156, 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: 0.6943, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.393, root_relative_squared_error: 0.8244, scimark_benchmark: 1869.6309, usercpu_time_millis: 2.402, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 2.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7561, kappa: 0.4539, kb_relative_information_score: 220.824, mean_absolute_error: 0.3316, 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: 0.7296, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8348, scimark_benchmark: 1869.1029, usercpu_time_millis: 2.735, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 2.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.768, kappa: 0.4828, kb_relative_information_score: 223.2215, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7674, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7263, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8313, scimark_benchmark: 1873.4078, usercpu_time_millis: 3.985, usercpu_time_millis_testing: 0.604, usercpu_time_millis_training: 3.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.5134, kb_relative_information_score: 0.1768, 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: 1819.3372, usercpu_time_millis: 0.523, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7541, kappa: 0.4468, kb_relative_information_score: 165.9758, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.761, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.8041, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8576, scimark_benchmark: 1810.6069, usercpu_time_millis: 2.795, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 2.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.7619, kappa: 0.4739, kb_relative_information_score: 253.8098, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7611, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.675, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8417, scimark_benchmark: 1869.6309, usercpu_time_millis: 5.748, usercpu_time_millis_testing: 0.763, usercpu_time_millis_training: 4.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.7417, kappa: 0.42, kb_relative_information_score: 181.9385, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7442, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8553, scimark_benchmark: 1853.9121, usercpu_time_millis: 2.67, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 2.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.7643, kappa: 0.4766, kb_relative_information_score: 249.0962, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7632, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.8262, scimark_benchmark: 1861.5675, usercpu_time_millis: 6.324, usercpu_time_millis_testing: 0.739, usercpu_time_millis_training: 5.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7627, kappa: 0.4745, kb_relative_information_score: 252.4798, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7616, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6801, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8335, scimark_benchmark: 1870.4029, usercpu_time_millis: 5.102, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 4.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7722, kappa: 0.491, kb_relative_information_score: 222.1315, mean_absolute_error: 0.3309, 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: 0.728, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8302, scimark_benchmark: 1831.4324, usercpu_time_millis: 6.238, usercpu_time_millis_testing: 0.888, usercpu_time_millis_training: 5.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.7681, kappa: 0.4849, kb_relative_information_score: 240.6003, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7671, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6996, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8318, scimark_benchmark: 1869.6309, usercpu_time_millis: 5.732, usercpu_time_millis_testing: 0.716, usercpu_time_millis_training: 5.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.5134, kb_relative_information_score: 0.0844, 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: 1840.05, usercpu_time_millis: 0.951, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 0.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1236, 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: 1847.1538, usercpu_time_millis: 0.83, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 0.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7619, kappa: 0.4717, kb_relative_information_score: 249.1846, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7608, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8302, scimark_benchmark: 1829.3937, usercpu_time_millis: 7.861, usercpu_time_millis_testing: 0.831, usercpu_time_millis_training: 7.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7595, kappa: 0.4618, kb_relative_information_score: 221.936, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7599, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7285, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8314, scimark_benchmark: 1868.2531, usercpu_time_millis: 0.317, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.5134, kb_relative_information_score: -0.0606, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1869.6309, usercpu_time_millis: 1.147, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.6773, kappa: 0.2857, kb_relative_information_score: 108.4095, mean_absolute_error: 0.399, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7561, predictive_accuracy: 0.7266, prior_entropy: 0.9335, recall: 0.7266, relative_absolute_error: 0.8778, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8995, scimark_benchmark: 1873.5991, usercpu_time_millis: 1.728, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 1.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7627, kappa: 0.471, kb_relative_information_score: 236.469, mean_absolute_error: 0.3211, 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: 0.7064, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8337, scimark_benchmark: 1869.6309, usercpu_time_millis: 0.65, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7681, kappa: 0.4816, kb_relative_information_score: 200.5133, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7683, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.7566, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8418, scimark_benchmark: 1868.6447, usercpu_time_millis: 1.08, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0836, 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: 1869.6309, usercpu_time_millis: 0.938, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 0.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7453, kappa: 0.4262, kb_relative_information_score: 140.3933, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7666, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.8409, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8751, scimark_benchmark: 1129.7595, usercpu_time_millis: 3.226, usercpu_time_millis_testing: 0.54, usercpu_time_millis_training: 2.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7619, kappa: 0.4682, kb_relative_information_score: 232.41, mean_absolute_error: 0.3242, 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: 0.7132, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.831, scimark_benchmark: 1864.0755, usercpu_time_millis: 3.05, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 2.69,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.763, kappa: 0.4693, kb_relative_information_score: 214.2956, mean_absolute_error: 0.3358, 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: 0.7388, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8364, scimark_benchmark: 1875.0498, usercpu_time_millis: 1.052, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7646, kappa: 0.4775, kb_relative_information_score: 249.5408, mean_absolute_error: 0.3111, 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: 0.6845, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8331, scimark_benchmark: 1871.7311, usercpu_time_millis: 2.332, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 2.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.712, kappa: 0.3532, kb_relative_information_score: 144.1292, mean_absolute_error: 0.3786, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7126, predictive_accuracy: 0.7227, prior_entropy: 0.9335, recall: 0.7227, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.8873, scimark_benchmark: 1875.5079, usercpu_time_millis: 2.032, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 1.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7511, kappa: 0.4429, kb_relative_information_score: 232.4156, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7515, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7099, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8319, scimark_benchmark: 1873.5293, usercpu_time_millis: 3.881, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 3.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7601, kappa: 0.4651, kb_relative_information_score: 201.0748, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7592, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8462, scimark_benchmark: 1868.1832, usercpu_time_millis: 1.459, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 1.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5134, kb_relative_information_score: 0.0102, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1, scimark_benchmark: 1870.8114, usercpu_time_millis: 0.192, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7593, kappa: 0.4604, kb_relative_information_score: 200.5122, mean_absolute_error: 0.3447, 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: 0.7583, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.839, scimark_benchmark: 1869.6309, usercpu_time_millis: 1.026, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7617, kappa: 0.4708, kb_relative_information_score: 246.8231, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7605, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.8292, scimark_benchmark: 1867.725, usercpu_time_millis: 1.872, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 1.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7629, kappa: 0.4754, kb_relative_information_score: 258.8867, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7619, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6652, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8506, scimark_benchmark: 1869.6309, usercpu_time_millis: 1.108, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7565, kappa: 0.4549, kb_relative_information_score: 218.7247, mean_absolute_error: 0.3323, 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: 0.7311, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.84, scimark_benchmark: 1863.87, usercpu_time_millis: 4.493, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 4.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7542, kappa: 0.4513, kb_relative_information_score: 238.1662, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7535, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.7046, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.827, scimark_benchmark: 1869.7037, usercpu_time_millis: 4.445, usercpu_time_millis_testing: 0.503, usercpu_time_millis_training: 3.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7471, kappa: 0.4309, kb_relative_information_score: 180.0914, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7537, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.7862, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8497, scimark_benchmark: 1867.1999, usercpu_time_millis: 1.645, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 1.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7554, kappa: 0.4538, kb_relative_information_score: 220.1369, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7548, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7307, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8345, scimark_benchmark: 1873.4078, usercpu_time_millis: 3.313, usercpu_time_millis_testing: 0.478, usercpu_time_millis_training: 2.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7606, kappa: 0.4643, kb_relative_information_score: 199.2638, mean_absolute_error: 0.3447, 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: 0.7584, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8418, scimark_benchmark: 1774.0867, usercpu_time_millis: 5.55, usercpu_time_millis_testing: 0.759, usercpu_time_millis_training: 4.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.7658, kappa: 0.48, kb_relative_information_score: 246.6481, mean_absolute_error: 0.314, 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: 0.6908, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8314, scimark_benchmark: 1863.4543, usercpu_time_millis: 6.146, usercpu_time_millis_testing: 0.805, usercpu_time_millis_training: 5.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7635, kappa: 0.4738, kb_relative_information_score: 249.1726, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7625, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6868, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.8271, scimark_benchmark: 1869.8223, usercpu_time_millis: 3.183, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 2.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7553, kappa: 0.4552, kb_relative_information_score: 234.3737, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.709, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8304, scimark_benchmark: 1873.5991, usercpu_time_millis: 4.62, usercpu_time_millis_testing: 0.627, usercpu_time_millis_training: 3.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7643, kappa: 0.4766, kb_relative_information_score: 251.723, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7632, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6811, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8333, scimark_benchmark: 1870.2804, usercpu_time_millis: 4.737, usercpu_time_millis_testing: 0.466, usercpu_time_millis_training: 4.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7642, kappa: 0.4744, kb_relative_information_score: 204.2819, mean_absolute_error: 0.3409, 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: 0.75, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8426, scimark_benchmark: 1865.4965, usercpu_time_millis: 6.81, usercpu_time_millis_testing: 1.066, usercpu_time_millis_training: 5.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.761, kappa: 0.4702, kb_relative_information_score: 249.4889, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7599, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6838, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8349, scimark_benchmark: 1867.7991, usercpu_time_millis: 7.461, usercpu_time_millis_testing: 0.666, usercpu_time_millis_training: 6.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.6544, kappa: 0.2407, kb_relative_information_score: 103.6995, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7473, predictive_accuracy: 0.7135, prior_entropy: 0.9335, recall: 0.7135, relative_absolute_error: 0.883, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.904, scimark_benchmark: 1866.5286, usercpu_time_millis: 0.615, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7602, kappa: 0.4674, kb_relative_information_score: 242.6737, mean_absolute_error: 0.3159, 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: 0.6951, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8343, scimark_benchmark: 1870.6721, usercpu_time_millis: 5.004, usercpu_time_millis_testing: 0.663, usercpu_time_millis_training: 4.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.7541, kappa: 0.4479, kb_relative_information_score: 193.0137, mean_absolute_error: 0.3495, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7571, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.769, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8429, scimark_benchmark: 1851.7065, usercpu_time_millis: 0.898, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 0.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7522, kappa: 0.4428, kb_relative_information_score: 182.7349, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7577, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8489, scimark_benchmark: 1866.6959, usercpu_time_millis: 1.349, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 1.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.7422, kappa: 0.4191, kb_relative_information_score: 141.0427, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7573, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.8415, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8793, scimark_benchmark: 1868.772, usercpu_time_millis: 1.346, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 1.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.6953, kappa: 0.3176, kb_relative_information_score: 126.076, mean_absolute_error: 0.3897, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7375, predictive_accuracy: 0.7305, prior_entropy: 0.9335, recall: 0.7305, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.8864, scimark_benchmark: 1858.4861, usercpu_time_millis: 1.642, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 1.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.77, kappa: 0.4881, kb_relative_information_score: 228.5941, mean_absolute_error: 0.3258, 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: 0.7168, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8318, scimark_benchmark: 1855.4944, usercpu_time_millis: 9.788, usercpu_time_millis_testing: 1.44, usercpu_time_millis_training: 8.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7662, kappa: 0.4797, kb_relative_information_score: 229.195, mean_absolute_error: 0.3253, 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: 0.7158, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8319, scimark_benchmark: 1867.3942, usercpu_time_millis: 1.704, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 1.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7624, kappa: 0.4701, kb_relative_information_score: 223.8105, mean_absolute_error: 0.3297, 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: 0.7255, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8346, scimark_benchmark: 1868.9276, usercpu_time_millis: 1.706, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 1.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.7617, kappa: 0.4708, kb_relative_information_score: 246.5828, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7605, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8285, scimark_benchmark: 1869.8223, usercpu_time_millis: 7.104, usercpu_time_millis_testing: 0.785, usercpu_time_millis_training: 6.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7633, kappa: 0.4703, kb_relative_information_score: 231.2501, mean_absolute_error: 0.3247, 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: 0.7145, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1862.1704, usercpu_time_millis: 1.379, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 1.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.7629, kappa: 0.4732, kb_relative_information_score: 238.8529, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7617, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6994, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.8361, scimark_benchmark: 1871.2001, usercpu_time_millis: 1.61, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 1.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.7472, kappa: 0.4406, kb_relative_information_score: 252.8197, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7461, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8604, scimark_benchmark: 1869.1029, usercpu_time_millis: 9.317, usercpu_time_millis_testing: 0.896, usercpu_time_millis_training: 8.421,

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