Task
Supervised Classification on wdbc

Supervised Classification on wdbc

Task 9946 Supervised Classification wdbc 147692 runs submitted
1 likes downloaded by 2 people , 2 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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147692 Runs

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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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9788, kappa: 0.9545, kb_relative_information_score: 0.8858, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9789, number_of_instances: 569, precision: 0.9792, predictive_accuracy: 0.9789, prior_entropy: 0.9526, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.3013, unweighted_recall: 0.9736,
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: 0.9856, f_measure: 0.9666, kappa: 0.9286, kb_relative_information_score: 0.9181, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9666, number_of_instances: 569, precision: 0.9666, predictive_accuracy: 0.9666, prior_entropy: 0.9526, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3594, unweighted_recall: 0.9648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9684, kappa: 0.9323, kb_relative_information_score: 0.9204, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9684, number_of_instances: 569, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.9526, relative_absolute_error: 0.0806, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3476, unweighted_recall: 0.9662,
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: 0.9944, 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: 0.9873, 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: 0.9899, 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: 0.9931, 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: 0.9945, 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: 0.8936, 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: 0.9899, 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: 0.9945, 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: 0.9899, 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: 0.9873, 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: 0.986, f_measure: 0.9684, kappa: 0.9323, kb_relative_information_score: 0.9204, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9684, number_of_instances: 569, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.9526, relative_absolute_error: 0.0806, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3476, unweighted_recall: 0.9662,
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,
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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: 0.912, 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: 0.9873, 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: 0.9945, 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: 0.9944, 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: 0.9873, 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: 0.9852, 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: 0.9931, 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: 0.9945, 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: 0.9899, 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,

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