Task
Supervised Classification on wdbc

Supervised Classification on wdbc

Task 9946 Supervised Classification wdbc 147945 runs submitted
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  • 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: 0.9508, 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: 0.9722, 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: 0.9774, 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: 0.9578, 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: 0.9601, 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: 0.9657, 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: 0.9736, 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: 0.975, 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: 0.9657, 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: 0.9755, 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: 0.9629, 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: 0.9502, 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: 0.5047, 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: 0.9127, 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: 0.658, 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: 0.5, 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: 0.9699, f_measure: 0.9753, kappa: 0.947, kb_relative_information_score: 0.9459, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9756, 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: 0.6108, f_measure: 0.6449, kappa: 0.2633, kb_relative_information_score: 0.3619, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8017, predictive_accuracy: 0.71, prior_entropy: 0.9526, recall: 0.71, relative_absolute_error: 0.6201, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.1138,
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: 0.9699, f_measure: 0.9753, kappa: 0.947, kb_relative_information_score: 0.9459, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9756, 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: 0.9585, 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: 0.988, f_measure: 0.956, kappa: 0.9059, kb_relative_information_score: 476.7343, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.1728, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.3921, scimark_benchmark: 1748.6032, usercpu_time_millis: 0.555, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9491, kappa: 0.8911, kb_relative_information_score: 460.0801, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9491, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.408, scimark_benchmark: 1752.3811, usercpu_time_millis: 0.712, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 438.5215, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.262, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4064, scimark_benchmark: 2150.0502, usercpu_time_millis: 3.84, usercpu_time_millis_testing: 0.668, usercpu_time_millis_training: 3.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 458.9258, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.2088, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4111, scimark_benchmark: 1863.9124, usercpu_time_millis: 2.949, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 2.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9491, kappa: 0.8911, kb_relative_information_score: 458.2884, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9491, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2098, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4108, scimark_benchmark: 1748.66, usercpu_time_millis: 2.461, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 2.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9353, kappa: 0.8624, kb_relative_information_score: 440.0586, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9363, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4456, scimark_benchmark: 1081.1936, usercpu_time_millis: 2.964, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 2.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 470.3485, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9542, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.1869, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3929, scimark_benchmark: 1748.6032, usercpu_time_millis: 5.544, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 5.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 479.6189, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1687, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3837, scimark_benchmark: 1067.5311, usercpu_time_millis: 11.345, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 10.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 478.0338, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9508, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.4036, scimark_benchmark: 1753.7527, usercpu_time_millis: 22.915, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 22.455,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, f_measure: 0.4838, kb_relative_information_score: 0.1944, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1859.4255, usercpu_time_millis: 1.24, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 1.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.956, kappa: 0.9059, kb_relative_information_score: 482.3594, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.1608, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.189, root_relative_squared_error: 0.391, scimark_benchmark: 1855.2567, usercpu_time_millis: 15.969, usercpu_time_millis_testing: 0.438, usercpu_time_millis_training: 15.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1255, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1847.4359, usercpu_time_millis: 0.887, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 0.692,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 480.8997, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.374, scimark_benchmark: 1870.9768, usercpu_time_millis: 3.992, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 3.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9631, kappa: 0.921, kb_relative_information_score: 482.534, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9631, predictive_accuracy: 0.9631, prior_entropy: 0.953, recall: 0.9631, relative_absolute_error: 0.1662, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3645, scimark_benchmark: 1734.0805, usercpu_time_millis: 6.801, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 6.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 484.4402, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.3923, scimark_benchmark: 1874.397, usercpu_time_millis: 2.613, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 2.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 434.9574, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9542, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.2694, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4123, scimark_benchmark: 1859.4255, usercpu_time_millis: 0.691, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9387, kappa: 0.8696, kb_relative_information_score: 451.5518, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9395, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.2218, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.4336, scimark_benchmark: 1757.9632, usercpu_time_millis: 2.18, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 2.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 482.4918, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.164, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.376, scimark_benchmark: 1720.6536, usercpu_time_millis: 3.365, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 3.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9404, kappa: 0.8727, kb_relative_information_score: 475.6068, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9406, predictive_accuracy: 0.9402, prior_entropy: 0.953, recall: 0.9402, relative_absolute_error: 0.1676, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4378, scimark_benchmark: 1854.8036, usercpu_time_millis: 12.219, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 11.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9579, kappa: 0.91, kb_relative_information_score: 478.8301, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9579, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1716, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.3791, scimark_benchmark: 1243.9367, usercpu_time_millis: 5.893, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 5.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9579, kappa: 0.91, kb_relative_information_score: 475.7134, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9579, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.3854, scimark_benchmark: 1863.7532, usercpu_time_millis: 10.743, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 10.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9254, kappa: 0.839, kb_relative_information_score: 388.6716, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9271, predictive_accuracy: 0.9262, prior_entropy: 0.953, recall: 0.9262, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.4836, scimark_benchmark: 1871.4349, usercpu_time_millis: 1.028, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9613, kappa: 0.9171, kb_relative_information_score: 460.739, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.3952, scimark_benchmark: 1080.5864, usercpu_time_millis: 2.043, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 1.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9352, kappa: 0.8621, kb_relative_information_score: 416.4126, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.936, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.3008, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.457, scimark_benchmark: 1259.3168, usercpu_time_millis: 2.318, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 2.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 477.8722, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1751, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.3737, scimark_benchmark: 1255.5297, usercpu_time_millis: 4.152, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 3.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 482.6391, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.3773, scimark_benchmark: 1861.4419, usercpu_time_millis: 14.354, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 13.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9455, kappa: 0.8834, kb_relative_information_score: 468.6621, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.415, scimark_benchmark: 1840.7427, usercpu_time_millis: 17.457, usercpu_time_millis_testing: 0.632, usercpu_time_millis_training: 16.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9631, kappa: 0.921, kb_relative_information_score: 478.8314, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9631, predictive_accuracy: 0.9631, prior_entropy: 0.953, recall: 0.9631, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.3707, scimark_benchmark: 1730.8101, usercpu_time_millis: 4.085, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 3.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9507, kappa: 0.8945, kb_relative_information_score: 456.0908, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9507, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.4193, scimark_benchmark: 1730.0157, usercpu_time_millis: 6.929, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 6.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4838, kb_relative_information_score: 0.1259, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1069.0033, usercpu_time_millis: 1.85, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 1.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9507, kappa: 0.8945, kb_relative_information_score: 415.1164, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9507, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.3067, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.4464, scimark_benchmark: 1075.0878, usercpu_time_millis: 2.158, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 1.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9491, kappa: 0.8911, kb_relative_information_score: 462.8004, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9491, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.198, root_relative_squared_error: 0.4096, scimark_benchmark: 1095.3149, usercpu_time_millis: 7.587, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 7.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9579, kappa: 0.91, kb_relative_information_score: 469.6277, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9579, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3889, scimark_benchmark: 1077.9789, usercpu_time_millis: 7.395, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 6.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 480.5103, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1676, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.3811, scimark_benchmark: 1094.0677, usercpu_time_millis: 7.914, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 7.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 484.7825, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1551, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.399, scimark_benchmark: 1858.9163, usercpu_time_millis: 14.077, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 13.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9352, kappa: 0.8618, kb_relative_information_score: 431.1964, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9357, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.2672, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4455, scimark_benchmark: 1073.9611, usercpu_time_millis: 4.639, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 4.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 460.19, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.4099, scimark_benchmark: 1079.9315, usercpu_time_millis: 5.066, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 4.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9421, kappa: 0.8765, kb_relative_information_score: 478.6496, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9424, predictive_accuracy: 0.942, prior_entropy: 0.953, recall: 0.942, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.205, root_relative_squared_error: 0.424, scimark_benchmark: 1860.0075, usercpu_time_millis: 18.406, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 18.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9631, kappa: 0.921, kb_relative_information_score: 483.567, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9631, predictive_accuracy: 0.9631, prior_entropy: 0.953, recall: 0.9631, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.3707, scimark_benchmark: 1245.5523, usercpu_time_millis: 8.991, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 8.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.944, kappa: 0.8806, kb_relative_information_score: 443.136, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9446, predictive_accuracy: 0.9438, prior_entropy: 0.953, recall: 0.9438, relative_absolute_error: 0.2423, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.429, scimark_benchmark: 1734.0805, usercpu_time_millis: 0.725, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9163, kappa: 0.8193, kb_relative_information_score: 396.2584, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9186, predictive_accuracy: 0.9174, prior_entropy: 0.953, recall: 0.9174, relative_absolute_error: 0.3374, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.5059, scimark_benchmark: 1861.8965, usercpu_time_millis: 0.438, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4838, kb_relative_information_score: -0.0106, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1854.4361, usercpu_time_millis: 0.995, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 0.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9239, kappa: 0.8363, kb_relative_information_score: 409.6276, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9244, predictive_accuracy: 0.9244, prior_entropy: 0.953, recall: 0.9244, relative_absolute_error: 0.3118, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.4665, scimark_benchmark: 1859.4255, usercpu_time_millis: 1.492, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 1.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9336, kappa: 0.8588, kb_relative_information_score: 444.6717, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9348, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.2375, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.4418, scimark_benchmark: 1860.4615, usercpu_time_millis: 0.432, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9631, kappa: 0.921, kb_relative_information_score: 480.3672, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9631, predictive_accuracy: 0.9631, prior_entropy: 0.953, recall: 0.9631, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.3739, scimark_benchmark: 1859.4255, usercpu_time_millis: 0.469, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 459.2555, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.2156, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.3901, scimark_benchmark: 1744.4527, usercpu_time_millis: 1.222, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 1.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9492, kappa: 0.8915, kb_relative_information_score: 460.2707, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9494, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2072, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.404, scimark_benchmark: 1865.1205, usercpu_time_millis: 0.318, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.956, kappa: 0.9058, kb_relative_information_score: 475.0211, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3875, scimark_benchmark: 1858.9163, usercpu_time_millis: 1.018, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9596, kappa: 0.9136, kb_relative_information_score: 474.6539, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9596, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.185, root_relative_squared_error: 0.3827, scimark_benchmark: 1757.4543, usercpu_time_millis: 5.71, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 5.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9473, kappa: 0.8874, kb_relative_information_score: 460.7354, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9474, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.2038, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4129, scimark_benchmark: 1075.2919, usercpu_time_millis: 2.319, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 2.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 462.1215, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9508, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.2014, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4114, scimark_benchmark: 1258.132, usercpu_time_millis: 0.84, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9336, kappa: 0.8588, kb_relative_information_score: 438.855, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9348, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.2467, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.4645, scimark_benchmark: 1079.2665, usercpu_time_millis: 6.714, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 6.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9334, kappa: 0.858, kb_relative_information_score: 478.5059, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9338, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.1586, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.4531, scimark_benchmark: 1863.066, usercpu_time_millis: 13.693, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 13.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.956, kappa: 0.9059, kb_relative_information_score: 476.8208, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.3976, scimark_benchmark: 1258.8447, usercpu_time_millis: 31.034, usercpu_time_millis_testing: 0.877, usercpu_time_millis_training: 30.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.4838, kb_relative_information_score: -0.2885, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0001, scimark_benchmark: 1752.223, usercpu_time_millis: 0.239, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4838, kb_relative_information_score: -0.1893, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0001, scimark_benchmark: 1746.9478, usercpu_time_millis: 0.237, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9473, kappa: 0.8872, kb_relative_information_score: 459.9606, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9473, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.2056, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4146, scimark_benchmark: 1865.7643, usercpu_time_millis: 1.48, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 1.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9456, kappa: 0.8838, kb_relative_information_score: 461.0978, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9457, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.2028, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4141, scimark_benchmark: 1075.3304, usercpu_time_millis: 2.565, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 2.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 475.489, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.3757, scimark_benchmark: 1851.5125, usercpu_time_millis: 6.3, usercpu_time_millis_testing: 0.617, usercpu_time_millis_training: 5.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9491, kappa: 0.8913, kb_relative_information_score: 452.578, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9492, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2229, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4159, scimark_benchmark: 1081.8038, usercpu_time_millis: 3.717, usercpu_time_millis_testing: 0.571, usercpu_time_millis_training: 3.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 478.82, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1735, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.3701, scimark_benchmark: 1869.5411, usercpu_time_millis: 6.077, usercpu_time_millis_testing: 0.543, usercpu_time_millis_training: 5.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 482.2707, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.176, root_relative_squared_error: 0.364, scimark_benchmark: 1867.1999, usercpu_time_millis: 4.138, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 3.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9421, kappa: 0.8765, kb_relative_information_score: 455.7943, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9424, predictive_accuracy: 0.942, prior_entropy: 0.953, recall: 0.942, relative_absolute_error: 0.2105, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.21, root_relative_squared_error: 0.4344, scimark_benchmark: 1871.5019, usercpu_time_millis: 0.434, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9561, kappa: 0.9063, kb_relative_information_score: 471.4372, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9562, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.3895, scimark_benchmark: 1864.7294, usercpu_time_millis: 1.299, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 1.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9596, kappa: 0.9136, kb_relative_information_score: 481.8338, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9596, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.3597, scimark_benchmark: 1865.8853, usercpu_time_millis: 1.104, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 1.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9421, kappa: 0.8763, kb_relative_information_score: 461.1086, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9422, predictive_accuracy: 0.942, prior_entropy: 0.953, recall: 0.942, relative_absolute_error: 0.2012, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4229, scimark_benchmark: 1872.0299, usercpu_time_millis: 1.356, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 1.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.931, kappa: 0.8515, kb_relative_information_score: 409.5635, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9316, predictive_accuracy: 0.9315, prior_entropy: 0.953, recall: 0.9315, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.223, root_relative_squared_error: 0.4612, scimark_benchmark: 1864.7294, usercpu_time_millis: 0.301, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9579, kappa: 0.91, kb_relative_information_score: 445.2141, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9579, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.2482, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.3975, scimark_benchmark: 1869.1856, usercpu_time_millis: 3.947, usercpu_time_millis_testing: 0.543, usercpu_time_millis_training: 3.404,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs