Task
Supervised Classification on wdbc

Supervised Classification on wdbc

Task 9946 Supervised Classification wdbc 144284 runs submitted
1 likes downloaded by 1 people , 1 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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144284 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5708, f_measure: 0.5923, kappa: 0.1714, kb_relative_information_score: 0.2962, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.7881, predictive_accuracy: 0.6801, prior_entropy: 0.9526, recall: 0.6801, relative_absolute_error: 0.684, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.5656, root_relative_squared_error: 1.1697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9701, kappa: 0.9359, 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: 0.9605, 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: 0.9657, 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: 0.9746, 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: 0.9366, f_measure: 0.9386, kappa: 0.8691, kb_relative_information_score: 0.8647, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9389, predictive_accuracy: 0.9385, prior_entropy: 0.9526, recall: 0.9385, relative_absolute_error: 0.1315, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.248, root_relative_squared_error: 0.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.9337, kappa: 0.8564, kb_relative_information_score: 0.8569, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9395, predictive_accuracy: 0.935, prior_entropy: 0.9526, recall: 0.935, relative_absolute_error: 0.1391, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2228, f_measure: 0.2737, kappa: -0.5577, kb_relative_information_score: -0.5933, mean_absolute_error: 0.7241, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.2716, predictive_accuracy: 0.2759, prior_entropy: 0.9526, recall: 0.2759, relative_absolute_error: 1.5484, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.8509, root_relative_squared_error: 1.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5589, f_measure: 0.5829, kappa: 0.116, kb_relative_information_score: 0.0758, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.5869, predictive_accuracy: 0.58, prior_entropy: 0.9526, recall: 0.58, relative_absolute_error: 0.8982, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.212, f_measure: 0.2633, kappa: -0.5766, kb_relative_information_score: -0.6203, mean_absolute_error: 0.7364, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.2629, predictive_accuracy: 0.2636, prior_entropy: 0.9526, recall: 0.2636, relative_absolute_error: 1.5747, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.8581, root_relative_squared_error: 1.7748,
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: 0.9694, f_measure: 0.9736, kappa: 0.9433, 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: 0.9135, f_measure: 0.9224, kappa: 0.8333, kb_relative_information_score: 0.8298, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9224, predictive_accuracy: 0.9227, prior_entropy: 0.9526, recall: 0.9227, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.5751,
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: 0.5, 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: 0.9284, 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: 0.9722, f_measure: 0.9771, kappa: 0.9508, kb_relative_information_score: 0.9497, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9773, 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: 0.955, f_measure: 0.9545, kappa: 0.903, kb_relative_information_score: 0.8995, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.955, predictive_accuracy: 0.9543, prior_entropy: 0.9526, recall: 0.9543, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.4421,
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: 0.9615, 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: 0.9232, f_measure: 0.9165, kappa: 0.8243, kb_relative_information_score: 0.8144, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9219, predictive_accuracy: 0.9156, prior_entropy: 0.9526, recall: 0.9156, relative_absolute_error: 0.1804, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.6007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.4918, kappa: 0.0118, kb_relative_information_score: 0.1879, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.7676, predictive_accuracy: 0.6309, prior_entropy: 0.9526, recall: 0.6309, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6075, root_relative_squared_error: 1.2565,
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: 0.9629, 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: 0.9722, f_measure: 0.9771, kappa: 0.9508, kb_relative_information_score: 0.9497, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9773, 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: 0.9722, f_measure: 0.9771, kappa: 0.9508, kb_relative_information_score: 0.9497, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9773, 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: 0.9713, 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: 0.9422, f_measure: 0.9455, kappa: 0.8836, kb_relative_information_score: 0.8801, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9456, 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: 0.4784, f_measure: 0.5119, kappa: -0.043, kb_relative_information_score: -0.0751, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.5124, predictive_accuracy: 0.5114, prior_entropy: 0.9526, recall: 0.5114, relative_absolute_error: 1.0448, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.699, root_relative_squared_error: 1.4457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9735, kappa: 0.9431, kb_relative_information_score: 0.942, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9739, 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: 0.9671, 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: 0.9618, f_measure: 0.9699, kappa: 0.9353, kb_relative_information_score: 0.9343, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9708, 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: 0.9578, 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: 0.5047, f_measure: 0.4918, kappa: 0.0118, kb_relative_information_score: 0.1879, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.7676, predictive_accuracy: 0.6309, prior_entropy: 0.9526, recall: 0.6309, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6075, root_relative_squared_error: 1.2565,
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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9597, kappa: 0.914, kb_relative_information_score: 0.9111, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9599, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9667, kappa: 0.9288, kb_relative_information_score: 0.9265, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9668, 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: 0.9615, 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: 0.9657, f_measure: 0.9667, kappa: 0.9288, kb_relative_information_score: 0.9265, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9668, 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: 0.9601, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 0.8995, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9542, predictive_accuracy: 0.9543, prior_entropy: 0.9526, recall: 0.9543, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.4421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9667, kappa: 0.9288, kb_relative_information_score: 0.9265, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9668, 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: 0.9629, 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: 0.6509, f_measure: 0.6925, kappa: 0.3518, kb_relative_information_score: 0.4277, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8161, predictive_accuracy: 0.7399, prior_entropy: 0.9526, recall: 0.7399, relative_absolute_error: 0.5562, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.51, root_relative_squared_error: 1.0548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.951, kappa: 0.8957, kb_relative_information_score: 0.8917, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9518, 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: 0.9567, f_measure: 0.9613, kappa: 0.917, kb_relative_information_score: 0.9149, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, 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: 0.9349, f_measure: 0.95, kappa: 0.8921, kb_relative_information_score: 0.8917, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9538, 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: 0.9774, f_measure: 0.9824, kappa: 0.9621, kb_relative_information_score: 0.9613, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9827, predictive_accuracy: 0.9824, prior_entropy: 0.9526, recall: 0.9824, relative_absolute_error: 0.0376, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.2742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9736, kappa: 0.9435, kb_relative_information_score: 0.942, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9736, 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: 0.9609, 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: 0.9288, f_measure: 0.9447, kappa: 0.8804, kb_relative_information_score: 0.8801, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9486, 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: 0.9615, 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: 0.9502, f_measure: 0.9509, kappa: 0.8953, kb_relative_information_score: 0.8917, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9513, 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: 0.955, f_measure: 0.9545, kappa: 0.903, kb_relative_information_score: 0.8995, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.955, predictive_accuracy: 0.9543, prior_entropy: 0.9526, recall: 0.9543, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.4421,
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: 0.9508, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.9159, kappa: 0.8206, kb_relative_information_score: 0.8144, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9163, predictive_accuracy: 0.9156, prior_entropy: 0.9526, recall: 0.9156, relative_absolute_error: 0.1804, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.6007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9771, kappa: 0.9508, kb_relative_information_score: 0.9497, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9773, 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: 0.9736, 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: 0.8605, f_measure: 0.8684, kappa: 0.7189, kb_relative_information_score: 0.71, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8686, predictive_accuracy: 0.8682, prior_entropy: 0.9526, recall: 0.8682, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.7509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9771, kappa: 0.9508, kb_relative_information_score: 0.9497, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9773, 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: 0.975, f_measure: 0.9806, kappa: 0.9583, kb_relative_information_score: 0.9575, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.981, 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: 0.9741, 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: 0.933, f_measure: 0.9286, kappa: 0.8489, kb_relative_information_score: 0.8414, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9318, predictive_accuracy: 0.9279, prior_entropy: 0.9526, recall: 0.9279, relative_absolute_error: 0.1541, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.5552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.9562, kappa: 0.9065, kb_relative_information_score: 0.9033, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9564, predictive_accuracy: 0.9561, prior_entropy: 0.9526, recall: 0.9561, relative_absolute_error: 0.094, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.4335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9701, kappa: 0.9359, 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: 0.9708, 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: 0.9455, 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: 0.9483, f_measure: 0.9542, kappa: 0.9017, kb_relative_information_score: 0.8995, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9543, predictive_accuracy: 0.9543, prior_entropy: 0.9526, recall: 0.9543, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.4421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.9506, kappa: 0.8941, 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: 0.9445, f_measure: 0.9506, kappa: 0.8941, 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: 0.9388, f_measure: 0.9503, kappa: 0.8929, kb_relative_information_score: 0.8917, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9519, 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: 0.5, 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: 0.934, f_measure: 0.95, kappa: 0.8918, kb_relative_information_score: 0.8917, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9544, 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: 0.8042, f_measure: 0.844, kappa: 0.661, kb_relative_information_score: 0.679, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8816, 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: 0.8807, f_measure: 0.9074, kappa: 0.7988, kb_relative_information_score: 0.8028, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9204, predictive_accuracy: 0.9104, prior_entropy: 0.9526, recall: 0.9104, relative_absolute_error: 0.1917, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9632, kappa: 0.9216, kb_relative_information_score: 0.9188, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9636, 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: 0.9615, 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: 0.9653, f_measure: 0.9649, kappa: 0.9252, kb_relative_information_score: 0.9227, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9653, 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: 0.9629, 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: 0.9615, 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: 0.941, f_measure: 0.9372, kappa: 0.867, kb_relative_information_score: 0.8608, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9396, predictive_accuracy: 0.9367, prior_entropy: 0.9526, recall: 0.9367, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.5202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9476, kappa: 0.8885, kb_relative_information_score: 0.884, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9487, predictive_accuracy: 0.9473, prior_entropy: 0.9526, recall: 0.9473, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.4749,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.9183, kappa: 0.8281, kb_relative_information_score: 0.8182, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.924, predictive_accuracy: 0.9174, prior_entropy: 0.9526, recall: 0.9174, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.5944,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9736, kappa: 0.9435, kb_relative_information_score: 0.942, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9736, 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: 0.9618, f_measure: 0.9699, kappa: 0.9353, kb_relative_information_score: 0.9343, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9708, 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: 0.9538, f_measure: 0.9645, kappa: 0.9235, kb_relative_information_score: 0.9227, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9663, 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: 0.9665, f_measure: 0.9735, kappa: 0.943, kb_relative_information_score: 0.942, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9741, 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: 0.9609, 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: 0.9708, 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: 0.9722, f_measure: 0.9771, kappa: 0.9508, kb_relative_information_score: 0.9497, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9773, 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: 0.9558, f_measure: 0.9579, kappa: 0.91, kb_relative_information_score: 0.9072, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9579, 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: 0.9075, f_measure: 0.9107, kappa: 0.8096, kb_relative_information_score: 0.8028, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9112, predictive_accuracy: 0.9104, prior_entropy: 0.9526, recall: 0.9104, relative_absolute_error: 0.1917, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9735, kappa: 0.9429, kb_relative_information_score: 0.942, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9744, 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: 0.9713, 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: 0.9018, f_measure: 0.907, kappa: 0.8013, kb_relative_information_score: 0.795, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9072, predictive_accuracy: 0.9069, prior_entropy: 0.9526, recall: 0.9069, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6312,
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,

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