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: 0.8266, f_measure: 0.7513, kappa: 0.4401, kb_relative_information_score: 158.3344, mean_absolute_error: 0.3699, 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: 0.8138, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8626, scimark_benchmark: 1866.7459, usercpu_time_millis: 1.401, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 1.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7564, kappa: 0.4529, kb_relative_information_score: 183.1558, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7601, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7802, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8495, scimark_benchmark: 1863.4543, usercpu_time_millis: 1.704, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 1.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7635, kappa: 0.4738, kb_relative_information_score: 245.7225, mean_absolute_error: 0.3147, 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: 0.6925, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.8289, scimark_benchmark: 1822.3184, usercpu_time_millis: 4.627, usercpu_time_millis_testing: 0.481, usercpu_time_millis_training: 4.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7626, kappa: 0.4723, kb_relative_information_score: 250.4747, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7615, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8264, scimark_benchmark: 1748.9636, usercpu_time_millis: 2.794, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 2.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.7631, kappa: 0.4742, kb_relative_information_score: 248.7269, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.762, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6866, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8316, scimark_benchmark: 1874.5188, usercpu_time_millis: 5.759, usercpu_time_millis_testing: 0.577, usercpu_time_millis_training: 5.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.758, kappa: 0.4597, kb_relative_information_score: 221.9979, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7575, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.398, root_relative_squared_error: 0.835, scimark_benchmark: 1745.7305, usercpu_time_millis: 3.38, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 2.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.7327, kappa: 0.3976, kb_relative_information_score: 141.1715, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.746, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.8391, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8787, scimark_benchmark: 1863.7397, usercpu_time_millis: 0.199, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7633, kappa: 0.4716, kb_relative_information_score: 201.3215, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.763, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7554, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8414, scimark_benchmark: 1870.742, usercpu_time_millis: 8.771, usercpu_time_millis_testing: 1.371, usercpu_time_millis_training: 7.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: -0.0063, 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: 1866.4162, usercpu_time_millis: 0.4, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1534, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1861.6424, usercpu_time_millis: 0.612, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.7725, kappa: 0.4919, kb_relative_information_score: 193.6668, mean_absolute_error: 0.3483, 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: 0.7664, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8429, scimark_benchmark: 1826.7102, usercpu_time_millis: 6.247, usercpu_time_millis_testing: 1.023, usercpu_time_millis_training: 5.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7701, kappa: 0.4869, kb_relative_information_score: 208.0072, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7699, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8364, scimark_benchmark: 1869.6309, usercpu_time_millis: 4.556, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 3.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.7646, kappa: 0.4775, kb_relative_information_score: 240.4196, mean_absolute_error: 0.3186, 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: 0.701, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8303, scimark_benchmark: 1858.4861, usercpu_time_millis: 0.877, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.7651, kappa: 0.476, kb_relative_information_score: 238.4439, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7645, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.8282, scimark_benchmark: 1863.9794, usercpu_time_millis: 3.96, usercpu_time_millis_testing: 0.495, usercpu_time_millis_training: 3.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.7571, kappa: 0.4596, kb_relative_information_score: 250.0271, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7559, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.8277, scimark_benchmark: 1872.9496, usercpu_time_millis: 8.052, usercpu_time_millis_testing: 0.771, usercpu_time_millis_training: 7.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7535, kappa: 0.4479, kb_relative_information_score: 219.0421, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7327, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8334, scimark_benchmark: 1861.7123, usercpu_time_millis: 1.03, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.7342, kappa: 0.4016, kb_relative_information_score: 159.5896, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7406, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8675, scimark_benchmark: 1844.8797, usercpu_time_millis: 1.51, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 1.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: -0.0421, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1867.725, usercpu_time_millis: 0.467, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0942, 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: 1873.019, usercpu_time_millis: 1.155, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7677, kappa: 0.4852, kb_relative_information_score: 247.1244, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7666, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6884, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8331, scimark_benchmark: 1862.9503, usercpu_time_millis: 8.614, usercpu_time_millis_testing: 0.895, usercpu_time_millis_training: 7.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7562, kappa: 0.4553, kb_relative_information_score: 234.8657, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.756, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.8283, scimark_benchmark: 1862.8928, usercpu_time_millis: 2.181, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 1.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7385, kappa: 0.4114, kb_relative_information_score: 166.4335, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.745, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.861, scimark_benchmark: 1868.6447, usercpu_time_millis: 2.312, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 1.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: -0.0209, 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: 1872.1673, usercpu_time_millis: 0.919, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 0.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7655, kappa: 0.4812, kb_relative_information_score: 251.57, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7646, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8338, scimark_benchmark: 1868.6447, usercpu_time_millis: 5.347, usercpu_time_millis_testing: 0.673, usercpu_time_millis_training: 4.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7613, kappa: 0.4663, kb_relative_information_score: 216.5582, mean_absolute_error: 0.3337, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7614, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7343, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.84, scimark_benchmark: 1862.1704, usercpu_time_millis: 2.629, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 2.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7679, kappa: 0.484, kb_relative_information_score: 232.6712, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7668, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7107, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8335, scimark_benchmark: 1862.3618, usercpu_time_millis: 6.676, usercpu_time_millis_testing: 0.881, usercpu_time_millis_training: 5.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.755, kappa: 0.4557, kb_relative_information_score: 244.92, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7537, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6922, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8343, scimark_benchmark: 1839.9801, usercpu_time_millis: 7.825, usercpu_time_millis_testing: 0.741, usercpu_time_millis_training: 7.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5134, kb_relative_information_score: 0.1963, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1869.1727, usercpu_time_millis: 0.888, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 0.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.7359, kappa: 0.4068, kb_relative_information_score: 178.1158, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7385, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8632, scimark_benchmark: 1866.6261, usercpu_time_millis: 1.423, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 1.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7639, kappa: 0.4735, kb_relative_information_score: 239.5892, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7632, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.8299, scimark_benchmark: 1749.9829, usercpu_time_millis: 7.032, usercpu_time_millis_testing: 0.748, usercpu_time_millis_training: 6.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7629, kappa: 0.4754, kb_relative_information_score: 255.7045, mean_absolute_error: 0.3053, 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: 0.6718, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8407, scimark_benchmark: 1865.3572, usercpu_time_millis: 10.567, usercpu_time_millis_testing: 1.071, usercpu_time_millis_training: 9.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7701, kappa: 0.4869, kb_relative_information_score: 235.1022, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7699, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.7097, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.8268, scimark_benchmark: 1869.6309, usercpu_time_millis: 2.373, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 1.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.7304, kappa: 0.3938, kb_relative_information_score: 159.0651, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7342, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8716, scimark_benchmark: 1868.7112, usercpu_time_millis: 2.225, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 1.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7508, kappa: 0.4419, kb_relative_information_score: 227.7386, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7514, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.829, scimark_benchmark: 1858.0279, usercpu_time_millis: 3.916, usercpu_time_millis_testing: 0.589, usercpu_time_millis_training: 3.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7427, kappa: 0.4239, kb_relative_information_score: 225.3421, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.743, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7234, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.831, scimark_benchmark: 1871.5019, usercpu_time_millis: 2.209, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 1.825,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5134, kb_relative_information_score: 0.1884, 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: 1869.8223, usercpu_time_millis: 0.565, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7606, kappa: 0.467, kb_relative_information_score: 223.5645, mean_absolute_error: 0.329, 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: 0.7238, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8329, scimark_benchmark: 1838.1099, usercpu_time_millis: 5.044, usercpu_time_millis_testing: 0.699, usercpu_time_millis_training: 4.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.7461, kappa: 0.4319, kb_relative_information_score: 194.6249, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.746, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.7614, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8567, scimark_benchmark: 1868.7112, usercpu_time_millis: 1.811, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 1.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7642, kappa: 0.4732, kb_relative_information_score: 199.6087, mean_absolute_error: 0.3443, 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: 0.7575, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8427, scimark_benchmark: 1857.1082, usercpu_time_millis: 5.955, usercpu_time_millis_testing: 0.833, usercpu_time_millis_training: 5.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7598, kappa: 0.4677, kb_relative_information_score: 249.7765, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7587, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.836, scimark_benchmark: 1863.8601, usercpu_time_millis: 3.38, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 3.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, f_measure: 0.7203, kappa: 0.3699, kb_relative_information_score: 120.2506, mean_absolute_error: 0.3932, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7295, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.865, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.901, scimark_benchmark: 1868.6447, usercpu_time_millis: 0.648, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7577, kappa: 0.4588, kb_relative_information_score: 233.0099, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7574, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7119, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8331, scimark_benchmark: 1868.2531, usercpu_time_millis: 0.455, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7541, kappa: 0.4499, kb_relative_information_score: 237.5341, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7543, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.829, scimark_benchmark: 1854.3038, usercpu_time_millis: 0.952, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.5975, kappa: 0.136, kb_relative_information_score: 89.161, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7288, predictive_accuracy: 0.6849, prior_entropy: 0.9335, recall: 0.6849, relative_absolute_error: 0.9011, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.9163, scimark_benchmark: 1863.2815, usercpu_time_millis: 1.583, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 1.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1121, 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: 1862.7014, usercpu_time_millis: 1.014, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 0.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.762, kappa: 0.4664, kb_relative_information_score: 212.3927, mean_absolute_error: 0.3373, 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: 0.7422, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8342, scimark_benchmark: 1868.1832, usercpu_time_millis: 1.309, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 1.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7551, kappa: 0.4543, kb_relative_information_score: 230.0589, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.754, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8423, scimark_benchmark: 1867.725, usercpu_time_millis: 0.285, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7621, kappa: 0.4678, kb_relative_information_score: 215.2826, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8362, scimark_benchmark: 1857.5664, usercpu_time_millis: 0.781, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.7334, kappa: 0.4002, kb_relative_information_score: 156.0101, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7389, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8794, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.941, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 0.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.7663, kappa: 0.4785, kb_relative_information_score: 231.8254, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7658, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8313, scimark_benchmark: 1845.6653, usercpu_time_millis: 4.357, usercpu_time_millis_testing: 0.593, usercpu_time_millis_training: 3.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1343, 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: 1865.8853, usercpu_time_millis: 1.256, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 0.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7639, kappa: 0.4735, kb_relative_information_score: 234.0805, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7632, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.711, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8298, scimark_benchmark: 1844.7531, usercpu_time_millis: 4.555, usercpu_time_millis_testing: 0.553, usercpu_time_millis_training: 4.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7521, kappa: 0.4459, kb_relative_information_score: 234.0259, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7518, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7112, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8297, scimark_benchmark: 1866.2865, usercpu_time_millis: 1.356, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 1.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.7184, kappa: 0.3668, kb_relative_information_score: 153.923, mean_absolute_error: 0.3729, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.721, predictive_accuracy: 0.7305, prior_entropy: 0.9335, recall: 0.7305, relative_absolute_error: 0.8205, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8929, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.743, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 0.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7565, kappa: 0.4549, kb_relative_information_score: 223.4533, mean_absolute_error: 0.3302, 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: 0.7265, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1872.4881, usercpu_time_millis: 2.501, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 2.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0608, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1868.2531, usercpu_time_millis: 1.042, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 0.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.5134, kb_relative_information_score: -0.2387, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1866.9963, usercpu_time_millis: 0.183, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.76, kappa: 0.4664, kb_relative_information_score: 249.5692, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7588, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6841, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8323, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.988, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7604, kappa: 0.4661, kb_relative_information_score: 243.9942, mean_absolute_error: 0.316, 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: 0.6954, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8288, scimark_benchmark: 1922.2845, usercpu_time_millis: 5.509, usercpu_time_millis_testing: 0.563, usercpu_time_millis_training: 4.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7595, kappa: 0.4632, kb_relative_information_score: 223.7872, mean_absolute_error: 0.329, 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: 0.724, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8355, scimark_benchmark: 1869.1727, usercpu_time_millis: 0.383, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.7648, kappa: 0.4751, kb_relative_information_score: 240.934, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7644, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.8269, scimark_benchmark: 1863.9794, usercpu_time_millis: 2.277, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 2.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.7618, kappa: 0.4695, kb_relative_information_score: 236.0076, mean_absolute_error: 0.3215, 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: 0.7073, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.832, scimark_benchmark: 1872.8797, usercpu_time_millis: 3.512, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 3.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 214.8847, mean_absolute_error: 0.3357, 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: 0.7387, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.8326, scimark_benchmark: 1865.075, usercpu_time_millis: 3.165, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 2.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7689, kappa: 0.4877, kb_relative_information_score: 248.6915, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7678, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8368, scimark_benchmark: 1871.8506, usercpu_time_millis: 5.838, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 5.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.6729, kappa: 0.2727, kb_relative_information_score: 113.1744, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7321, predictive_accuracy: 0.7188, prior_entropy: 0.9335, recall: 0.7188, relative_absolute_error: 0.8732, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8966, scimark_benchmark: 1857.9581, usercpu_time_millis: 0.259, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7592, kappa: 0.4636, kb_relative_information_score: 243.9157, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7582, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.832, scimark_benchmark: 1859.5273, usercpu_time_millis: 0.267, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7678, kappa: 0.4819, kb_relative_information_score: 201.4766, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7673, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7551, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8408, scimark_benchmark: 1844.0458, usercpu_time_millis: 10.531, usercpu_time_millis_testing: 1.694, usercpu_time_millis_training: 8.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.5134, kb_relative_information_score: -0.1146, 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: 1867.725, usercpu_time_millis: 0.937, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 0.755,

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