Task
Supervised Classification on autoPrice

Supervised Classification on autoPrice

Task 3622 Supervised Classification autoPrice 585 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9621, kappa: 0.9151, kb_relative_information_score: 144.1157, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.9621, kappa: 0.9151, kb_relative_information_score: 135.8963, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.4063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 130.3279, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1918, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9623, kappa: 0.9159, kb_relative_information_score: 144.7342, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.9433, kappa: 0.8732, kb_relative_information_score: 125.7101, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.2229, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.4762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9621, kappa: 0.9151, kb_relative_information_score: 138.2365, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.4094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9438, kappa: 0.8755, kb_relative_information_score: 137.9996, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9448, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9435, kappa: 0.8744, kb_relative_information_score: 138.3651, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9437, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1231, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.4597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 135.3459, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1552, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9374, kappa: 0.861, kb_relative_information_score: 135.6997, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.938, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 138.2384, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1344, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9242, kappa: 0.8302, kb_relative_information_score: 128.0981, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9241, predictive_accuracy: 0.9245, prior_entropy: 0.9264, recall: 0.9245, relative_absolute_error: 0.1867, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9811, kappa: 0.9577, kb_relative_information_score: 148.6485, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9264, recall: 0.9811, relative_absolute_error: 0.0603, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.3162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9499, kappa: 0.8888, kb_relative_information_score: 140.1126, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9504, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.1118, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.4678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 144.507, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9554, kappa: 0.8996, kb_relative_information_score: 143.2822, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.957, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.0931, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.3967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9376, kappa: 0.8623, kb_relative_information_score: 133.8683, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9394, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.1502, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.4832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9374, kappa: 0.861, kb_relative_information_score: 134.9565, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.938, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.5028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.942, kappa: 0.8685, kb_relative_information_score: 131.4335, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9479, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1804, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9486, kappa: 0.8836, kb_relative_information_score: 139.8033, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9532, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.119, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.4043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9623, kappa: 0.9159, kb_relative_information_score: 138.4383, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.1352, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.3918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9557, kappa: 0.9005, kb_relative_information_score: 133.205, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9561, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.3472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.466, f_measure: 0.5253, kb_relative_information_score: -0.3177, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.4361, predictive_accuracy: 0.6604, prior_entropy: 0.9264, recall: 0.6604, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9361, kappa: 0.8559, kb_relative_information_score: 132.2449, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9383, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.1627, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9427, kappa: 0.8709, kb_relative_information_score: 135.231, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9441, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9295, kappa: 0.8408, kb_relative_information_score: 131.0847, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9325, predictive_accuracy: 0.9308, prior_entropy: 0.9264, recall: 0.9308, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.4638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9435, kappa: 0.8744, kb_relative_information_score: 137.6264, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9437, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.4644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9561, kappa: 0.9023, kb_relative_information_score: 140.7315, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9563, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.4328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9438, kappa: 0.8755, kb_relative_information_score: 134.6495, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9448, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9433, kappa: 0.8732, kb_relative_information_score: 135.4958, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.4906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.943, kappa: 0.8721, kb_relative_information_score: 137.7632, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9433, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.5024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.9489, kappa: 0.8847, kb_relative_information_score: 140.0869, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9513, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9433, kappa: 0.8732, kb_relative_information_score: 137.7632, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.5024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9621, kappa: 0.9151, kb_relative_information_score: 144.993, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.3707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9435, kappa: 0.8744, kb_relative_information_score: 136.1047, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9437, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1367, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 142.0513, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.1143, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9438, kappa: 0.8755, kb_relative_information_score: 134.6495, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9448, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9499, kappa: 0.8888, kb_relative_information_score: 137.2262, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9504, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 142.4106, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 142.4106, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 142.4106, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 142.4106, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 142.4106, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, f_measure: 0.6054, kappa: 0.1417, kb_relative_information_score: 13.9235, mean_absolute_error: 0.4111, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.7928, predictive_accuracy: 0.6981, prior_entropy: 0.9264, recall: 0.6981, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9685, kappa: 0.9296, kb_relative_information_score: 143.1696, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.1106, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.131, root_relative_squared_error: 0.2767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9433, kappa: 0.8732, kb_relative_information_score: 137.7632, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.5024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.9371, kappa: 0.8598, kb_relative_information_score: 135.4395, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9371, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.5295, scimark_benchmark: 1631.1992, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5253, kb_relative_information_score: 33.1976, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.4361, predictive_accuracy: 0.6604, prior_entropy: 0.9264, recall: 0.6604, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5828, root_relative_squared_error: 1.2306, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.6054, kappa: 0.1417, kb_relative_information_score: 47.1397, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.7928, predictive_accuracy: 0.6981, prior_entropy: 0.9264, recall: 0.6981, relative_absolute_error: 0.6721, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5494, root_relative_squared_error: 1.1602, scimark_benchmark: 1862.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5253, kb_relative_information_score: 33.1976, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.4361, predictive_accuracy: 0.6604, prior_entropy: 0.9264, recall: 0.6604, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5828, root_relative_squared_error: 1.2306, scimark_benchmark: 1637.5632, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.6054, kappa: 0.1417, kb_relative_information_score: 47.1397, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.7928, predictive_accuracy: 0.6981, prior_entropy: 0.9264, recall: 0.6981, relative_absolute_error: 0.6721, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5494, root_relative_squared_error: 1.1602, scimark_benchmark: 1389.4014, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.9371, kappa: 0.8598, kb_relative_information_score: 135.4395, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9371, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.5295, scimark_benchmark: 1379.498, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9561, kappa: 0.9023, kb_relative_information_score: 141.5471, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9563, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1054, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.4347, scimark_benchmark: 1908.2191, usercpu_time_millis: 546.875, usercpu_time_millis_training: 546.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9561, kappa: 0.9023, kb_relative_information_score: 140.8953, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9563, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1106, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4161, scimark_benchmark: 1908.2191, usercpu_time_millis: 484.375, usercpu_time_millis_training: 484.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9433, kappa: 0.8732, kb_relative_information_score: 137.7632, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.5024, scimark_benchmark: 1827.4462, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9561, kappa: 0.9023, kb_relative_information_score: 140.5869, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9563, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1115, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.4121, scimark_benchmark: 1346.5022, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 138.0737, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4028, scimark_benchmark: 1293.3306, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 138.0737, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4028, scimark_benchmark: 1871.4229, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9499, kappa: 0.8888, kb_relative_information_score: 137.2262, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9504, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4666, scimark_benchmark: 1190.2965, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9497, kappa: 0.8878, kb_relative_information_score: 137.6247, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9497, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.439, scimark_benchmark: 1273.8619, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 144.7342, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4102, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.9682, kappa: 0.9283, kb_relative_information_score: 147.0579, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.97, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3744, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8933, kappa: 0.7627, kb_relative_information_score: 119.4075, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.8936, predictive_accuracy: 0.8931, prior_entropy: 0.9264, recall: 0.8931, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6851, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.9433, kappa: 0.8732, kb_relative_information_score: 136.2656, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.4991, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9811, kappa: 0.9577, kb_relative_information_score: 150.5929, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9264, recall: 0.9811, relative_absolute_error: 0.0495, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.3013, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.9433, kappa: 0.8732, kb_relative_information_score: 134.0488, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.501, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.943, kappa: 0.8721, kb_relative_information_score: 129.1561, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9433, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.2018, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4928, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 141.7063, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.1131, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3193, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9438, kappa: 0.8755, kb_relative_information_score: 137.9996, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9448, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4576, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9438, kappa: 0.8755, kb_relative_information_score: 134.6495, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9448, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.493, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9499, kappa: 0.8888, kb_relative_information_score: 137.2262, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9504, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4666, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 144.7342, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4102, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.9682, kappa: 0.9283, kb_relative_information_score: 147.0579, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.97, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3744, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9497, kappa: 0.8878, kb_relative_information_score: 137.5872, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9497, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.1335, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4398, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8933, kappa: 0.7627, kb_relative_information_score: 119.4075, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.8936, predictive_accuracy: 0.8931, prior_entropy: 0.9264, recall: 0.8931, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6851, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.9433, kappa: 0.8732, kb_relative_information_score: 136.2656, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.4991, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9811, kappa: 0.9577, kb_relative_information_score: 150.5929, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9264, recall: 0.9811, relative_absolute_error: 0.0495, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.3013, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 138.6028, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.4421, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.943, kappa: 0.8721, kb_relative_information_score: 129.1561, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9433, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.2018, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4928, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 142.0832, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.315, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9438, kappa: 0.8755, kb_relative_information_score: 137.9996, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9448, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4576, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9438, kappa: 0.8755, kb_relative_information_score: 134.6495, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9448, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.493, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8933, kappa: 0.7627, kb_relative_information_score: 119.4075, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.8936, predictive_accuracy: 0.8931, prior_entropy: 0.9264, recall: 0.8931, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6851, scimark_benchmark: 1327.5254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9811, kappa: 0.9577, kb_relative_information_score: 150.5929, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9264, recall: 0.9811, relative_absolute_error: 0.0495, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.3013, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9497, kappa: 0.8878, kb_relative_information_score: 137.6012, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9497, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.1335, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.4394, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9748, kappa: 0.9439, kb_relative_information_score: 149.5954, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9748, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.0543, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3224, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 138.7142, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.4421, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9188, kappa: 0.8202, kb_relative_information_score: 127.8128, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.92, predictive_accuracy: 0.9182, prior_entropy: 0.9264, recall: 0.9182, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.25, root_relative_squared_error: 0.528, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9494, kappa: 0.8868, kb_relative_information_score: 138.6224, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9495, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.226, root_relative_squared_error: 0.4773, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.9554, kappa: 0.8996, kb_relative_information_score: 142.4106, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.957, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.443, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 144.7342, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4102, scimark_benchmark: 1472.3217, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 138.2384, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1344, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4431, scimark_benchmark: 1181.7252, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9167, kappa: 0.8118, kb_relative_information_score: 127.7894, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9194, predictive_accuracy: 0.9182, prior_entropy: 0.9264, recall: 0.9182, relative_absolute_error: 0.1984, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.4531, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.9361, kappa: 0.8559, kb_relative_information_score: 139.0501, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9383, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.1211, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.4322, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9353, kappa: 0.8532, kb_relative_information_score: 135.3257, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9426, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.142, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4244, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9353, kappa: 0.8532, kb_relative_information_score: 127.163, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9426, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.439, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9361, kappa: 0.8559, kb_relative_information_score: 131.3332, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9383, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4526, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.942, kappa: 0.8685, kb_relative_information_score: 130.118, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9479, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1846, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4455, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,

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