Task
Supervised Classification on wdbc

Supervised Classification on wdbc

Task 9946 Supervised Classification wdbc 147642 runs submitted
1 likes downloaded by 2 people , 2 total downloads 0 issues
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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147642 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 0.6643, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8893, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.9526, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, unweighted_recall: 0.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.9333, kappa: 0.8574, kb_relative_information_score: 0.853, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9332, number_of_instances: 569, precision: 0.9334, predictive_accuracy: 0.9332, prior_entropy: 0.9526, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.5345, unweighted_recall: 0.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9381, kappa: 0.8668, kb_relative_information_score: 0.8659, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9385, number_of_instances: 569, precision: 0.9387, predictive_accuracy: 0.9385, prior_entropy: 0.9526, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.4914, unweighted_recall: 0.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.9335, kappa: 0.8585, kb_relative_information_score: 0.853, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9332, number_of_instances: 569, precision: 0.9344, predictive_accuracy: 0.9332, prior_entropy: 0.9526, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.5345, unweighted_recall: 0.9334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9471, kappa: 0.8866, kb_relative_information_score: 0.7891, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9473, number_of_instances: 569, precision: 0.9472, predictive_accuracy: 0.9473, prior_entropy: 0.9526, relative_absolute_error: 0.2332, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.4197, unweighted_recall: 0.9407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.9317, kappa: 0.8547, kb_relative_information_score: 0.8492, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9315, number_of_instances: 569, precision: 0.9325, predictive_accuracy: 0.9315, prior_entropy: 0.9526, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.5415, unweighted_recall: 0.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9395, kappa: 0.8694, kb_relative_information_score: 0.8096, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9402, number_of_instances: 569, precision: 0.9419, predictive_accuracy: 0.9402, prior_entropy: 0.9526, relative_absolute_error: 0.2074, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4084, unweighted_recall: 0.9256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9629, kappa: 0.9202, kb_relative_information_score: 0.8437, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9631, number_of_instances: 569, precision: 0.9635, predictive_accuracy: 0.9631, prior_entropy: 0.9526, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.381, unweighted_recall: 0.9553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9593, kappa: 0.9125, kb_relative_information_score: 0.8343, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9596, number_of_instances: 569, precision: 0.9601, predictive_accuracy: 0.9596, prior_entropy: 0.9526, relative_absolute_error: 0.1774, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.3981, unweighted_recall: 0.9505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9576, kappa: 0.9091, kb_relative_information_score: 0.8272, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9578, number_of_instances: 569, precision: 0.9579, predictive_accuracy: 0.9578, prior_entropy: 0.9526, relative_absolute_error: 0.1983, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3656, unweighted_recall: 0.9511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4905, kb_relative_information_score: 0.1742, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.8042, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6089, root_relative_squared_error: 1.2594, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9593, kappa: 0.9126, kb_relative_information_score: 0.6585, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9596, number_of_instances: 569, precision: 0.9599, predictive_accuracy: 0.9596, prior_entropy: 0.9526, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.4926, unweighted_recall: 0.9515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.708, kappa: 0.3681, kb_relative_information_score: 0.3195, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.4676, weighted_recall: 0.7329, number_of_instances: 569, precision: 0.7405, predictive_accuracy: 0.7329, prior_entropy: 0.9526, relative_absolute_error: 0.6953, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8197, unweighted_recall: 0.6664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9737, kappa: 0.9437, kb_relative_information_score: 0.9065, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9736, number_of_instances: 569, precision: 0.9737, predictive_accuracy: 0.9736, prior_entropy: 0.9526, relative_absolute_error: 0.1014, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.2972, unweighted_recall: 0.9723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9558, kappa: 0.905, kb_relative_information_score: 0.8472, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9561, number_of_instances: 569, precision: 0.9563, predictive_accuracy: 0.9561, prior_entropy: 0.9526, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.3846, unweighted_recall: 0.9477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9559, kappa: 0.9052, kb_relative_information_score: 0.845, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9561, number_of_instances: 569, precision: 0.9562, predictive_accuracy: 0.9561, prior_entropy: 0.9526, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.3963, unweighted_recall: 0.9487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9594, kappa: 0.913, kb_relative_information_score: 0.8244, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9596, number_of_instances: 569, precision: 0.9596, predictive_accuracy: 0.9596, prior_entropy: 0.9526, relative_absolute_error: 0.2004, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.3711, unweighted_recall: 0.9534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4912, kb_relative_information_score: 0.1771, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6075, root_relative_squared_error: 1.2565, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.961, kappa: 0.9162, kb_relative_information_score: 0.6539, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9613, number_of_instances: 569, precision: 0.962, predictive_accuracy: 0.9613, prior_entropy: 0.9526, relative_absolute_error: 0.4026, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.4916, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9736, kappa: 0.9433, kb_relative_information_score: 0.9409, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9736, number_of_instances: 569, precision: 0.9737, predictive_accuracy: 0.9736, prior_entropy: 0.9526, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.3154, unweighted_recall: 0.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.7386, kappa: 0.4335, kb_relative_information_score: 0.337, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4676, weighted_recall: 0.7592, number_of_instances: 569, precision: 0.7721, predictive_accuracy: 0.7592, prior_entropy: 0.9526, relative_absolute_error: 0.6829, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.7991, unweighted_recall: 0.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9737, kappa: 0.9437, kb_relative_information_score: 0.908, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9736, number_of_instances: 569, precision: 0.9737, predictive_accuracy: 0.9736, prior_entropy: 0.9526, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.143, root_relative_squared_error: 0.2958, unweighted_recall: 0.9723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9351, kappa: 0.8613, kb_relative_information_score: 0.8569, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4676, weighted_recall: 0.935, number_of_instances: 569, precision: 0.9352, predictive_accuracy: 0.935, prior_entropy: 0.9526, relative_absolute_error: 0.1391, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5274, unweighted_recall: 0.9319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1802, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.954, kappa: 0.9011, kb_relative_information_score: 0.8535, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9543, number_of_instances: 569, precision: 0.9547, predictive_accuracy: 0.9543, prior_entropy: 0.9526, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.3751, unweighted_recall: 0.9454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9701, kappa: 0.936, kb_relative_information_score: 0.919, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9701, number_of_instances: 569, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.9526, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3298, unweighted_recall: 0.9676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9614, kappa: 0.9175, kb_relative_information_score: 0.9119, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9613, number_of_instances: 569, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.9526, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.3801, unweighted_recall: 0.9596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9753, kappa: 0.9469, kb_relative_information_score: 0.872, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9754, number_of_instances: 569, precision: 0.9758, predictive_accuracy: 0.9754, prior_entropy: 0.9526, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.3167, unweighted_recall: 0.9689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9631, kappa: 0.9211, kb_relative_information_score: 0.9125, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9631, number_of_instances: 569, precision: 0.9631, predictive_accuracy: 0.9631, prior_entropy: 0.9526, relative_absolute_error: 0.0863, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.3822, unweighted_recall: 0.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9771, kappa: 0.9509, kb_relative_information_score: 0.912, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9772, number_of_instances: 569, precision: 0.9772, predictive_accuracy: 0.9772, prior_entropy: 0.9526, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.2952, unweighted_recall: 0.9732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9753, kappa: 0.9471, kb_relative_information_score: 0.9116, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9754, number_of_instances: 569, precision: 0.9755, predictive_accuracy: 0.9754, prior_entropy: 0.9526, relative_absolute_error: 0.0962, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.2961, unweighted_recall: 0.9708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9701, kappa: 0.9359, kb_relative_information_score: 0.9183, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9701, number_of_instances: 569, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.9526, relative_absolute_error: 0.0848, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.154, root_relative_squared_error: 0.3185, unweighted_recall: 0.9666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9753, kappa: 0.9471, kb_relative_information_score: 0.9116, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9754, number_of_instances: 569, precision: 0.9755, predictive_accuracy: 0.9754, prior_entropy: 0.9526, relative_absolute_error: 0.0962, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.2961, unweighted_recall: 0.9708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.95, kappa: 0.8921, kb_relative_information_score: 0.7475, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9508, number_of_instances: 569, precision: 0.9538, predictive_accuracy: 0.9508, prior_entropy: 0.9526, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4229, unweighted_recall: 0.9349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9753, kappa: 0.9469, kb_relative_information_score: 0.872, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9754, number_of_instances: 569, precision: 0.9758, predictive_accuracy: 0.9754, prior_entropy: 0.9526, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.3167, unweighted_recall: 0.9689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.951, kappa: 0.8955, kb_relative_information_score: 0.8936, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9508, number_of_instances: 569, precision: 0.9515, predictive_accuracy: 0.9508, prior_entropy: 0.9526, relative_absolute_error: 0.1029, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.4473, unweighted_recall: 0.9512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9718, kappa: 0.9396, kb_relative_information_score: 0.919, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9719, number_of_instances: 569, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.9526, relative_absolute_error: 0.0837, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.3221, unweighted_recall: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9701, kappa: 0.936, kb_relative_information_score: 0.919, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9701, number_of_instances: 569, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.9526, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3298, unweighted_recall: 0.9676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9614, kappa: 0.9175, kb_relative_information_score: 0.9119, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9613, number_of_instances: 569, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.9526, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.3801, unweighted_recall: 0.9596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9683, kappa: 0.9321, kb_relative_information_score: 0.7354, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9684, number_of_instances: 569, precision: 0.9683, predictive_accuracy: 0.9684, prior_entropy: 0.9526, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4221, unweighted_recall: 0.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9753, kappa: 0.9469, kb_relative_information_score: 0.872, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9754, number_of_instances: 569, precision: 0.9758, predictive_accuracy: 0.9754, prior_entropy: 0.9526, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.3167, unweighted_recall: 0.9689,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.95, kappa: 0.8921, kb_relative_information_score: 0.7475, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9508, number_of_instances: 569, precision: 0.9538, predictive_accuracy: 0.9508, prior_entropy: 0.9526, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4229, unweighted_recall: 0.9349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.951, kappa: 0.8955, kb_relative_information_score: 0.8937, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9508, number_of_instances: 569, precision: 0.9515, predictive_accuracy: 0.9508, prior_entropy: 0.9526, relative_absolute_error: 0.1029, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.4473, unweighted_recall: 0.9512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.951, kappa: 0.8955, kb_relative_information_score: 0.8937, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9508, number_of_instances: 569, precision: 0.9515, predictive_accuracy: 0.9508, prior_entropy: 0.9526, relative_absolute_error: 0.1029, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.4473, unweighted_recall: 0.9512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9771, kappa: 0.9509, kb_relative_information_score: 0.9119, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9772, number_of_instances: 569, precision: 0.9772, predictive_accuracy: 0.9772, prior_entropy: 0.9526, relative_absolute_error: 0.0961, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.2951, unweighted_recall: 0.9732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9771, kappa: 0.9509, kb_relative_information_score: 0.9119, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9772, number_of_instances: 569, precision: 0.9772, predictive_accuracy: 0.9772, prior_entropy: 0.9526, relative_absolute_error: 0.0961, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.2951, unweighted_recall: 0.9732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.95, kappa: 0.8921, kb_relative_information_score: 0.7475, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9508, number_of_instances: 569, precision: 0.9538, predictive_accuracy: 0.9508, prior_entropy: 0.9526, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4229, unweighted_recall: 0.9349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9683, kappa: 0.9321, kb_relative_information_score: 0.7354, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9684, number_of_instances: 569, precision: 0.9683, predictive_accuracy: 0.9684, prior_entropy: 0.9526, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4221, unweighted_recall: 0.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9771, kappa: 0.9509, kb_relative_information_score: 0.9119, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9772, number_of_instances: 569, precision: 0.9772, predictive_accuracy: 0.9772, prior_entropy: 0.9526, relative_absolute_error: 0.0961, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.2951, unweighted_recall: 0.9732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.8961, kappa: 0.7743, kb_relative_information_score: 0.4659, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8998, number_of_instances: 569, precision: 0.9111, predictive_accuracy: 0.8998, prior_entropy: 0.9526, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.6493, unweighted_recall: 0.8675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9771, kappa: 0.9509, kb_relative_information_score: 0.9119, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9772, number_of_instances: 569, precision: 0.9772, predictive_accuracy: 0.9772, prior_entropy: 0.9526, relative_absolute_error: 0.0961, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.2951, unweighted_recall: 0.9732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9771, kappa: 0.9509, kb_relative_information_score: 0.9119, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9772, number_of_instances: 569, precision: 0.9772, predictive_accuracy: 0.9772, prior_entropy: 0.9526, relative_absolute_error: 0.0961, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.2951, unweighted_recall: 0.9732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9771, kappa: 0.9509, kb_relative_information_score: 0.9119, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9772, number_of_instances: 569, precision: 0.9772, predictive_accuracy: 0.9772, prior_entropy: 0.9526, relative_absolute_error: 0.0961, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.2951, unweighted_recall: 0.9732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.951, kappa: 0.8955, kb_relative_information_score: 0.8937, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9508, number_of_instances: 569, precision: 0.9515, predictive_accuracy: 0.9508, prior_entropy: 0.9526, relative_absolute_error: 0.1029, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.4473, unweighted_recall: 0.9512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9771, kappa: 0.9509, kb_relative_information_score: 0.9119, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9772, number_of_instances: 569, precision: 0.9772, predictive_accuracy: 0.9772, prior_entropy: 0.9526, relative_absolute_error: 0.0961, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.2951, unweighted_recall: 0.9732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.8961, kappa: 0.7743, kb_relative_information_score: 0.4659, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8998, number_of_instances: 569, precision: 0.9111, predictive_accuracy: 0.8998, prior_entropy: 0.9526, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.6493, unweighted_recall: 0.8675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9771, kappa: 0.9509, kb_relative_information_score: 0.9119, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9772, number_of_instances: 569, precision: 0.9772, predictive_accuracy: 0.9772, prior_entropy: 0.9526, relative_absolute_error: 0.0961, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.2951, unweighted_recall: 0.9732,

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