OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131650 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: 0.8362, f_measure: 0.7651, kappa: 0.4747, kb_relative_information_score: 230.3031, mean_absolute_error: 0.3256, 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: 0.7164, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8296, scimark_benchmark: 1311.0127, usercpu_time_millis: 34.492, usercpu_time_millis_testing: 3.349, usercpu_time_millis_training: 31.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.7521, kappa: 0.4474, kb_relative_information_score: 250.1163, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7511, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.6838, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.8279, scimark_benchmark: 1296.8616, usercpu_time_millis: 32.398, usercpu_time_millis_testing: 2.017, usercpu_time_millis_training: 30.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7621, kappa: 0.4704, kb_relative_information_score: 254.5671, mean_absolute_error: 0.3091, 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: 0.6802, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.8248, scimark_benchmark: 1305.7838, usercpu_time_millis: 26.955, usercpu_time_millis_testing: 2.296, usercpu_time_millis_training: 24.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.5134, kb_relative_information_score: -0.5858, mean_absolute_error: 0.4546, 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: 1.0002, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1306.5319, usercpu_time_millis: 0.363, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 0.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5134, kb_relative_information_score: -0.0253, 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: 1296.4531, usercpu_time_millis: 7.929, usercpu_time_millis_testing: 0.959, usercpu_time_millis_training: 6.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7588, kappa: 0.4599, kb_relative_information_score: 228.1066, mean_absolute_error: 0.3272, 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: 0.7199, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.8291, scimark_benchmark: 1287.4976, usercpu_time_millis: 5.446, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 4.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7618, kappa: 0.4695, kb_relative_information_score: 253.4321, mean_absolute_error: 0.3097, 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: 0.6813, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.825, scimark_benchmark: 1288.7085, usercpu_time_millis: 35.559, usercpu_time_millis_testing: 3.092, usercpu_time_millis_training: 32.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7627, kappa: 0.4697, kb_relative_information_score: 242.4777, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7628, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.8283, scimark_benchmark: 1280.0979, usercpu_time_millis: 31.082, usercpu_time_millis_testing: 2.547, usercpu_time_millis_training: 28.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7638, kappa: 0.4748, kb_relative_information_score: 253.1569, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6819, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8316, scimark_benchmark: 1293.1502, usercpu_time_millis: 3.903, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 3.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7642, kappa: 0.4732, kb_relative_information_score: 244.1488, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7642, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6963, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8286, scimark_benchmark: 1308.9609, usercpu_time_millis: 8.993, usercpu_time_millis_testing: 0.805, usercpu_time_millis_training: 8.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.7606, kappa: 0.467, kb_relative_information_score: 261.3667, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7596, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.8274, scimark_benchmark: 1298.3412, usercpu_time_millis: 22.655, usercpu_time_millis_testing: 1.302, usercpu_time_millis_training: 21.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7577, kappa: 0.4574, kb_relative_information_score: 225.7894, mean_absolute_error: 0.3283, 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: 0.7223, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.8359, scimark_benchmark: 1300.2126, usercpu_time_millis: 5.543, usercpu_time_millis_testing: 0.491, usercpu_time_millis_training: 5.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.767, kappa: 0.4825, kb_relative_information_score: 255.4369, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7658, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8286, scimark_benchmark: 1313.3735, usercpu_time_millis: 38.813, usercpu_time_millis_testing: 2.857, usercpu_time_millis_training: 35.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7699, kappa: 0.4848, kb_relative_information_score: 228.3799, mean_absolute_error: 0.3271, 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: 0.7196, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8296, scimark_benchmark: 1310.9246, usercpu_time_millis: 29.389, usercpu_time_millis_testing: 2.706, usercpu_time_millis_training: 26.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7705, kappa: 0.4899, kb_relative_information_score: 246.9348, mean_absolute_error: 0.3145, 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: 0.692, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.8272, scimark_benchmark: 1299.9454, usercpu_time_millis: 10.649, usercpu_time_millis_testing: 0.927, usercpu_time_millis_training: 9.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7492, kappa: 0.4348, kb_relative_information_score: 162.2654, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7623, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.8082, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.862, scimark_benchmark: 1315.316, usercpu_time_millis: 11.587, usercpu_time_millis_testing: 1.313, usercpu_time_millis_training: 10.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.7741, kappa: 0.4974, kb_relative_information_score: 239.7232, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7733, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.7009, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8322, scimark_benchmark: 1273.7609, usercpu_time_millis: 18.269, usercpu_time_millis_testing: 1.703, usercpu_time_millis_training: 16.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7633, kappa: 0.4703, kb_relative_information_score: 232.993, mean_absolute_error: 0.324, 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: 0.713, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8298, scimark_benchmark: 1306.4322, usercpu_time_millis: 12.002, usercpu_time_millis_testing: 1.139, usercpu_time_millis_training: 10.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7715, kappa: 0.4915, kb_relative_information_score: 246.9426, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7706, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.6899, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.833, scimark_benchmark: 1303.7427, usercpu_time_millis: 17.531, usercpu_time_millis_testing: 1.415, usercpu_time_millis_training: 16.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0079, 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: 1304.4445, usercpu_time_millis: 3.919, usercpu_time_millis_testing: 0.645, usercpu_time_millis_training: 3.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0983, 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: 1324.6171, usercpu_time_millis: 4.642, usercpu_time_millis_testing: 0.826, usercpu_time_millis_training: 3.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7614, kappa: 0.4645, kb_relative_information_score: 202.2111, mean_absolute_error: 0.3436, 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: 0.756, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8406, scimark_benchmark: 1303.3238, usercpu_time_millis: 4.752, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 4.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5134, kb_relative_information_score: 0.1136, 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: 1300.8935, usercpu_time_millis: 5.802, usercpu_time_millis_testing: 0.914, usercpu_time_millis_training: 4.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7553, kappa: 0.459, kb_relative_information_score: 258.7262, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7544, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8495, scimark_benchmark: 1316.8601, usercpu_time_millis: 47.362, usercpu_time_millis_testing: 3.492, usercpu_time_millis_training: 43.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7624, kappa: 0.4714, kb_relative_information_score: 250.3873, mean_absolute_error: 0.3115, 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: 0.6855, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8305, scimark_benchmark: 1317.2834, usercpu_time_millis: 23.629, usercpu_time_millis_testing: 1.757, usercpu_time_millis_training: 21.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1178, 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: 1283.1234, usercpu_time_millis: 3.594, usercpu_time_millis_testing: 0.603, usercpu_time_millis_training: 2.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.7544, kappa: 0.4508, kb_relative_information_score: 237.4712, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7544, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.828, scimark_benchmark: 1306.7513, usercpu_time_millis: 20.674, usercpu_time_millis_testing: 1.618, usercpu_time_millis_training: 19.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.5194, kappa: 0.0097, kb_relative_information_score: 60.5555, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7739, predictive_accuracy: 0.6536, prior_entropy: 0.9335, recall: 0.6536, relative_absolute_error: 0.9357, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9425, scimark_benchmark: 1297.4608, usercpu_time_millis: 4.886, usercpu_time_millis_testing: 0.841, usercpu_time_millis_training: 4.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7428, kappa: 0.4212, kb_relative_information_score: 170.4945, mean_absolute_error: 0.3641, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7494, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8586, scimark_benchmark: 1312.6737, usercpu_time_millis: 2.407, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 2.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7728, kappa: 0.4928, kb_relative_information_score: 238.5089, mean_absolute_error: 0.3196, 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: 0.7033, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8299, scimark_benchmark: 1314.6977, usercpu_time_millis: 34.837, usercpu_time_millis_testing: 3.334, usercpu_time_millis_training: 31.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.6557, kappa: 0.2412, kb_relative_information_score: 105.7118, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7379, predictive_accuracy: 0.7122, prior_entropy: 0.9335, recall: 0.7122, relative_absolute_error: 0.8829, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.9028, scimark_benchmark: 1304.4919, usercpu_time_millis: 6.176, usercpu_time_millis_testing: 0.907, usercpu_time_millis_training: 5.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1516, 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: 1296.715, usercpu_time_millis: 5.353, usercpu_time_millis_testing: 0.975, usercpu_time_millis_training: 4.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7635, kappa: 0.4682, kb_relative_information_score: 192.3096, mean_absolute_error: 0.3493, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7692, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.7686, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8454, scimark_benchmark: 1296.3506, usercpu_time_millis: 8.563, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 7.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7636, kappa: 0.476, kb_relative_information_score: 254.2734, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7625, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6741, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8466, scimark_benchmark: 1314.7432, usercpu_time_millis: 63.466, usercpu_time_millis_testing: 5.578, usercpu_time_millis_training: 57.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.7455, kappa: 0.4264, kb_relative_information_score: 159.2825, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.76, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.864, scimark_benchmark: 1313.8547, usercpu_time_millis: 7.758, usercpu_time_millis_testing: 1.101, usercpu_time_millis_training: 6.657,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6536, f_measure: 0.6922, kappa: 0.3151, kb_relative_information_score: 0.3051, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6899, predictive_accuracy: 0.6966, prior_entropy: 0.9331, recall: 0.6966, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5508, root_relative_squared_error: 1.1556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.6846, kappa: 0.3027, kb_relative_information_score: 0.2813, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6833, predictive_accuracy: 0.6862, prior_entropy: 0.9331, recall: 0.6862, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.7366, kappa: 0.4105, kb_relative_information_score: 0.4125, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7362, predictive_accuracy: 0.7435, prior_entropy: 0.9331, recall: 0.7435, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5065, root_relative_squared_error: 1.0626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.7645, kappa: 0.4712, kb_relative_information_score: 0.4811, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7687, predictive_accuracy: 0.7734, prior_entropy: 0.9331, recall: 0.7734, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.7645, kappa: 0.4712, kb_relative_information_score: 0.4811, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7687, predictive_accuracy: 0.7734, prior_entropy: 0.9331, recall: 0.7734, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, f_measure: 0.7622, kappa: 0.4661, kb_relative_information_score: 0.4751, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7657, predictive_accuracy: 0.7708, prior_entropy: 0.9331, recall: 0.7708, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.7503, kappa: 0.4381, kb_relative_information_score: 0.4542, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7565, predictive_accuracy: 0.7617, prior_entropy: 0.9331, recall: 0.7617, relative_absolute_error: 0.5243, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4881, root_relative_squared_error: 1.0241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.7376, kappa: 0.4093, kb_relative_information_score: 0.4512, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7666, predictive_accuracy: 0.7604, prior_entropy: 0.9331, recall: 0.7604, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.0269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.7474, kappa: 0.4314, kb_relative_information_score: 0.4512, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7558, predictive_accuracy: 0.7604, prior_entropy: 0.9331, recall: 0.7604, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.0269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.317, f_measure: 0.3792, kappa: -0.3657, kb_relative_information_score: -0.4226, mean_absolute_error: 0.6211, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.3794, predictive_accuracy: 0.3789, prior_entropy: 0.9331, recall: 0.3789, relative_absolute_error: 1.3666, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7881, root_relative_squared_error: 1.6534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.761, kappa: 0.4635, kb_relative_information_score: 0.4721, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7642, predictive_accuracy: 0.7695, prior_entropy: 0.9331, recall: 0.7695, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.758, kappa: 0.4551, kb_relative_information_score: 0.4751, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7682, predictive_accuracy: 0.7708, prior_entropy: 0.9331, recall: 0.7708, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7046, f_measure: 0.751, kappa: 0.4396, kb_relative_information_score: 0.4572, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7583, predictive_accuracy: 0.763, prior_entropy: 0.9331, recall: 0.763, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3434, f_measure: 0.402, kappa: -0.3109, kb_relative_information_score: -0.3749, mean_absolute_error: 0.6003, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4043, predictive_accuracy: 0.3997, prior_entropy: 0.9331, recall: 0.3997, relative_absolute_error: 1.3207, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7748, root_relative_squared_error: 1.6255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7304, f_measure: 0.771, kappa: 0.4861, kb_relative_information_score: 0.493, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.774, predictive_accuracy: 0.7786, prior_entropy: 0.9331, recall: 0.7786, relative_absolute_error: 0.487, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.7669, kappa: 0.4763, kb_relative_information_score: 0.487, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7717, predictive_accuracy: 0.776, prior_entropy: 0.9331, recall: 0.776, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.7453, kappa: 0.4321, kb_relative_information_score: 0.4274, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7442, predictive_accuracy: 0.75, prior_entropy: 0.9331, recall: 0.75, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5145, kappa: -0.0029, kb_relative_information_score: 0.1948, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5108, predictive_accuracy: 0.6484, prior_entropy: 0.9331, recall: 0.6484, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5929, root_relative_squared_error: 1.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6728, f_measure: 0.7104, kappa: 0.3551, kb_relative_information_score: 0.3469, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7083, predictive_accuracy: 0.7148, prior_entropy: 0.9331, recall: 0.7148, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.534, root_relative_squared_error: 1.1203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.7635, kappa: 0.4682, kb_relative_information_score: 0.4811, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7692, predictive_accuracy: 0.7734, prior_entropy: 0.9331, recall: 0.7734, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.7183, kappa: 0.3728, kb_relative_information_score: 0.3648, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7164, predictive_accuracy: 0.7227, prior_entropy: 0.9331, recall: 0.7227, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.1049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.7409, kappa: 0.4193, kb_relative_information_score: 0.4244, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7415, predictive_accuracy: 0.7487, prior_entropy: 0.9331, recall: 0.7487, relative_absolute_error: 0.5529, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.6832, kappa: 0.3018, kb_relative_information_score: 0.2753, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6828, predictive_accuracy: 0.6836, prior_entropy: 0.9331, recall: 0.6836, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5625, root_relative_squared_error: 1.1801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.7335, kappa: 0.4034, kb_relative_information_score: 0.4065, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7333, predictive_accuracy: 0.7409, prior_entropy: 0.9331, recall: 0.7409, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.509, root_relative_squared_error: 1.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7046, f_measure: 0.7412, kappa: 0.4227, kb_relative_information_score: 0.4184, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.74, predictive_accuracy: 0.7461, prior_entropy: 0.9331, recall: 0.7461, relative_absolute_error: 0.5587, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.0572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.6896, kappa: 0.3131, kb_relative_information_score: 0.2932, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6881, predictive_accuracy: 0.6914, prior_entropy: 0.9331, recall: 0.6914, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5555, root_relative_squared_error: 1.1655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.7634, kappa: 0.4686, kb_relative_information_score: 0.4781, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7672, predictive_accuracy: 0.7721, prior_entropy: 0.9331, recall: 0.7721, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, f_measure: 0.7362, kappa: 0.4059, kb_relative_information_score: 0.4304, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7461, predictive_accuracy: 0.7513, prior_entropy: 0.9331, recall: 0.7513, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0463,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs