Task
Supervised Classification on wdbc

Supervised Classification on wdbc

Task 9946 Supervised Classification wdbc 147945 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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147945 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9789, kappa: 0.9547, kb_relative_information_score: 0.9536, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.9526, recall: 0.9789, relative_absolute_error: 0.0451, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9788, kappa: 0.9546, kb_relative_information_score: 0.9536, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.979, predictive_accuracy: 0.9789, prior_entropy: 0.9526, recall: 0.9789, relative_absolute_error: 0.0451, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.8543, kappa: 0.6889, kb_relative_information_score: 0.679, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8546, predictive_accuracy: 0.8541, prior_entropy: 0.9526, recall: 0.8541, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.7899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.9431, kappa: 0.8771, kb_relative_information_score: 0.8763, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9455, predictive_accuracy: 0.9438, prior_entropy: 0.9526, recall: 0.9438, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.4905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.377, f_measure: 0.4171, kappa: -0.2456, kb_relative_information_score: -0.2839, mean_absolute_error: 0.5835, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.4176, predictive_accuracy: 0.4165, prior_entropy: 0.9526, recall: 0.4165, relative_absolute_error: 1.2477, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.7639, root_relative_squared_error: 1.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.943, kappa: 0.8769, kb_relative_information_score: 0.8763, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.946, predictive_accuracy: 0.9438, prior_entropy: 0.9526, recall: 0.9438, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.4905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.454, f_measure: 0.4898, kappa: -0.0922, kb_relative_information_score: -0.1215, mean_absolute_error: 0.5097, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.4894, predictive_accuracy: 0.4903, prior_entropy: 0.9526, recall: 0.4903, relative_absolute_error: 1.0899, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.7139, root_relative_squared_error: 1.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.97, kappa: 0.9358, kb_relative_information_score: 0.9343, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.9526, recall: 0.9701, relative_absolute_error: 0.0639, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.9252, kappa: 0.8421, kb_relative_information_score: 0.8337, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9295, predictive_accuracy: 0.9244, prior_entropy: 0.9526, recall: 0.9244, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, f_measure: 0.6551, kappa: 0.2808, kb_relative_information_score: 0.3735, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.7974, predictive_accuracy: 0.7153, prior_entropy: 0.9526, recall: 0.7153, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.5336, root_relative_squared_error: 1.1036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.9573, kappa: 0.9078, kb_relative_information_score: 0.9072, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.96, predictive_accuracy: 0.9578, prior_entropy: 0.9526, recall: 0.9578, relative_absolute_error: 0.0902, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.204, f_measure: 0.2555, kappa: -0.5908, kb_relative_information_score: -0.6397, mean_absolute_error: 0.7452, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.2562, predictive_accuracy: 0.2548, prior_entropy: 0.9526, recall: 0.2548, relative_absolute_error: 1.5934, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.8632, root_relative_squared_error: 1.7854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9737, kappa: 0.9437, kb_relative_information_score: 0.942, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9737, predictive_accuracy: 0.9736, prior_entropy: 0.9526, recall: 0.9736, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9753, kappa: 0.9471, kb_relative_information_score: 0.9459, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9755, predictive_accuracy: 0.9754, prior_entropy: 0.9526, recall: 0.9754, relative_absolute_error: 0.0526, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.3244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9806, kappa: 0.9585, kb_relative_information_score: 0.9575, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9807, predictive_accuracy: 0.9807, prior_entropy: 0.9526, recall: 0.9807, relative_absolute_error: 0.0413, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.139, root_relative_squared_error: 0.2876,
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, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625,
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, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.7786, kappa: 0.522, kb_relative_information_score: 0.5591, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8395, predictive_accuracy: 0.7996, prior_entropy: 0.9526, recall: 0.7996, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.9258,
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, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5684, f_measure: 0.5891, kappa: 0.1659, kb_relative_information_score: 0.2923, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.7874, predictive_accuracy: 0.6784, prior_entropy: 0.9526, recall: 0.6784, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.5671, root_relative_squared_error: 1.1729,
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, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.7005, kappa: 0.367, kb_relative_information_score: 0.4393, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8188, predictive_accuracy: 0.7452, prior_entropy: 0.9526, recall: 0.7452, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0441,
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, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.9483, kappa: 0.8883, kb_relative_information_score: 0.8879, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9517, predictive_accuracy: 0.949, prior_entropy: 0.9526, recall: 0.949, relative_absolute_error: 0.109, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9663, kappa: 0.9274, kb_relative_information_score: 0.9265, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9679, predictive_accuracy: 0.9666, prior_entropy: 0.9526, recall: 0.9666, relative_absolute_error: 0.0714, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.3779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9681, kappa: 0.9313, kb_relative_information_score: 0.9304, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9695, predictive_accuracy: 0.9684, prior_entropy: 0.9526, recall: 0.9684, relative_absolute_error: 0.0676, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9681, kappa: 0.9313, kb_relative_information_score: 0.9304, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9695, predictive_accuracy: 0.9684, prior_entropy: 0.9526, recall: 0.9684, relative_absolute_error: 0.0676, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9663, kappa: 0.9275, kb_relative_information_score: 0.9265, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9675, predictive_accuracy: 0.9666, prior_entropy: 0.9526, recall: 0.9666, relative_absolute_error: 0.0714, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.3779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9699, kappa: 0.9352, kb_relative_information_score: 0.9343, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9711, predictive_accuracy: 0.9701, prior_entropy: 0.9526, recall: 0.9701, relative_absolute_error: 0.0639, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9663, kappa: 0.9274, kb_relative_information_score: 0.9265, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9679, predictive_accuracy: 0.9666, prior_entropy: 0.9526, recall: 0.9666, relative_absolute_error: 0.0714, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.3779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9718, kappa: 0.9395, kb_relative_information_score: 0.9381, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.9526, recall: 0.9719, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.9441, kappa: 0.8813, kb_relative_information_score: 0.8763, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9456, predictive_accuracy: 0.9438, prior_entropy: 0.9526, recall: 0.9438, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.4905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.9424, kappa: 0.8777, kb_relative_information_score: 0.8724, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9441, predictive_accuracy: 0.942, prior_entropy: 0.9526, recall: 0.942, relative_absolute_error: 0.124, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.4981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.9458, kappa: 0.8849, kb_relative_information_score: 0.8801, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9472, predictive_accuracy: 0.9455, prior_entropy: 0.9526, recall: 0.9455, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9771, kappa: 0.951, kb_relative_information_score: 0.9497, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9771, predictive_accuracy: 0.9772, prior_entropy: 0.9526, recall: 0.9772, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9701, kappa: 0.936, kb_relative_information_score: 0.9343, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.9526, recall: 0.9701, relative_absolute_error: 0.0639, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9614, kappa: 0.9176, kb_relative_information_score: 0.9149, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9616, predictive_accuracy: 0.9613, prior_entropy: 0.9526, recall: 0.9613, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9718, kappa: 0.9396, kb_relative_information_score: 0.9381, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.9526, recall: 0.9719, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9789, kappa: 0.9547, kb_relative_information_score: 0.9536, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.9526, recall: 0.9789, relative_absolute_error: 0.0451, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9788, kappa: 0.9545, kb_relative_information_score: 0.9536, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9792, predictive_accuracy: 0.9789, prior_entropy: 0.9526, recall: 0.9789, relative_absolute_error: 0.0451, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.977, kappa: 0.9507, kb_relative_information_score: 0.9497, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9775, predictive_accuracy: 0.9772, prior_entropy: 0.9526, recall: 0.9772, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5212, f_measure: 0.5189, kappa: 0.0527, kb_relative_information_score: 0.215, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.7726, predictive_accuracy: 0.6432, prior_entropy: 0.9526, recall: 0.6432, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.5973, root_relative_squared_error: 1.2354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9507, kappa: 0.8943, kb_relative_information_score: 0.8917, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9507, predictive_accuracy: 0.9508, prior_entropy: 0.9526, recall: 0.9508, relative_absolute_error: 0.1052, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.4588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9579, kappa: 0.9103, kb_relative_information_score: 0.9072, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9583, predictive_accuracy: 0.9578, prior_entropy: 0.9526, recall: 0.9578, relative_absolute_error: 0.0902, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9614, kappa: 0.9178, kb_relative_information_score: 0.9149, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9618, predictive_accuracy: 0.9613, prior_entropy: 0.9526, recall: 0.9613, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9614, kappa: 0.9176, kb_relative_information_score: 0.9149, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9616, predictive_accuracy: 0.9613, prior_entropy: 0.9526, recall: 0.9613, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9597, kappa: 0.9141, kb_relative_information_score: 0.9111, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9601, predictive_accuracy: 0.9596, prior_entropy: 0.9526, recall: 0.9596, relative_absolute_error: 0.0864, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4158,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.8959, kappa: 0.7738, kb_relative_information_score: 0.7796, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9123, predictive_accuracy: 0.8998, prior_entropy: 0.9526, recall: 0.8998, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6546,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9666, kappa: 0.9284, kb_relative_information_score: 0.9265, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9666, predictive_accuracy: 0.9666, prior_entropy: 0.9526, recall: 0.9666, relative_absolute_error: 0.0714, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.3779,
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, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625,
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, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625,
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, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9632, kappa: 0.9214, kb_relative_information_score: 0.9188, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9634, predictive_accuracy: 0.9631, prior_entropy: 0.9526, recall: 0.9631, relative_absolute_error: 0.0789, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.3973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9753, kappa: 0.9471, kb_relative_information_score: 0.9459, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9755, predictive_accuracy: 0.9754, prior_entropy: 0.9526, recall: 0.9754, relative_absolute_error: 0.0526, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.3244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9806, kappa: 0.9585, kb_relative_information_score: 0.9575, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9807, predictive_accuracy: 0.9807, prior_entropy: 0.9526, recall: 0.9807, relative_absolute_error: 0.0413, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.139, root_relative_squared_error: 0.2876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9648, kappa: 0.9245, kb_relative_information_score: 0.9227, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9648, predictive_accuracy: 0.9649, prior_entropy: 0.9526, recall: 0.9649, relative_absolute_error: 0.0752, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.3878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.9295, kappa: 0.8488, kb_relative_information_score: 0.8453, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9295, predictive_accuracy: 0.9297, prior_entropy: 0.9526, recall: 0.9297, relative_absolute_error: 0.1503, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.5484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9735, kappa: 0.9432, kb_relative_information_score: 0.942, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9738, predictive_accuracy: 0.9736, prior_entropy: 0.9526, recall: 0.9736, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9663, kappa: 0.9274, kb_relative_information_score: 0.9265, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9679, predictive_accuracy: 0.9666, prior_entropy: 0.9526, recall: 0.9666, relative_absolute_error: 0.0714, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.3779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9771, kappa: 0.951, kb_relative_information_score: 0.9497, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9771, predictive_accuracy: 0.9772, prior_entropy: 0.9526, recall: 0.9772, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9493, kappa: 0.8921, kb_relative_information_score: 0.8879, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9503, predictive_accuracy: 0.949, prior_entropy: 0.9526, recall: 0.949, relative_absolute_error: 0.109, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4669,

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