OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31675 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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31675 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, f_measure: 0.7789, kappa: 0.5018, kb_relative_information_score: 0.3863, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.814, predictive_accuracy: 0.769, prior_entropy: 0.863, recall: 0.769, relative_absolute_error: 0.566, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4806, root_relative_squared_error: 1.0639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.9607, kappa: 0.9034, kb_relative_information_score: 0.8958, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9606, predictive_accuracy: 0.9608, prior_entropy: 0.863, recall: 0.9608, relative_absolute_error: 0.0961, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.198, root_relative_squared_error: 0.4383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9625, kappa: 0.9077, kb_relative_information_score: 0.9006, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.0916, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.9615, kappa: 0.9054, kb_relative_information_score: 0.8979, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9616, prior_entropy: 0.863, recall: 0.9616, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.196, root_relative_squared_error: 0.4339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9636, kappa: 0.9107, kb_relative_information_score: 0.9036, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9636, predictive_accuracy: 0.9637, prior_entropy: 0.863, recall: 0.9637, relative_absolute_error: 0.0889, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.4218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.965, kappa: 0.9139, kb_relative_information_score: 0.9072, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.96, kappa: 0.9018, kb_relative_information_score: 0.8938, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.9374, kappa: 0.8478, kb_relative_information_score: 0.8325, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9383, predictive_accuracy: 0.937, prior_entropy: 0.863, recall: 0.937, relative_absolute_error: 0.1545, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.5559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.9515, kappa: 0.8815, kb_relative_information_score: 0.871, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9516, predictive_accuracy: 0.9515, prior_entropy: 0.863, recall: 0.9515, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.4878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.9654, kappa: 0.915, kb_relative_information_score: 0.9083, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.0845, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.4112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.9501, kappa: 0.8786, kb_relative_information_score: 0.8666, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9508, predictive_accuracy: 0.9498, prior_entropy: 0.863, recall: 0.9498, relative_absolute_error: 0.1231, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.4961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.9516, kappa: 0.8812, kb_relative_information_score: 0.8715, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9515, predictive_accuracy: 0.9516, prior_entropy: 0.863, recall: 0.9516, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.4869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9638, kappa: 0.9111, kb_relative_information_score: 0.904, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.9639, prior_entropy: 0.863, recall: 0.9639, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.4208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9642, kappa: 0.9122, kb_relative_information_score: 0.9052, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.4182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9585, kappa: 0.8983, kb_relative_information_score: 0.8898, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.1017, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.4509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.9502, kappa: 0.8778, kb_relative_information_score: 0.8682, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9502, predictive_accuracy: 0.9504, prior_entropy: 0.863, recall: 0.9504, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.4931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.9562, kappa: 0.8927, kb_relative_information_score: 0.8834, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9561, prior_entropy: 0.863, recall: 0.9561, relative_absolute_error: 0.1075, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.4637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.9648, kappa: 0.9135, kb_relative_information_score: 0.9066, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.0861, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9563, kappa: 0.8922, kb_relative_information_score: 0.8848, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9565, predictive_accuracy: 0.9567, prior_entropy: 0.863, recall: 0.9567, relative_absolute_error: 0.1062, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.4609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9594, kappa: 0.9004, kb_relative_information_score: 0.8921, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.0995, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.943, kappa: 0.8614, kb_relative_information_score: 0.8472, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.944, predictive_accuracy: 0.9425, prior_entropy: 0.863, recall: 0.9425, relative_absolute_error: 0.1409, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.5309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9604, kappa: 0.9027, kb_relative_information_score: 0.895, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9603, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.0968, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.9612, kappa: 0.9046, kb_relative_information_score: 0.8971, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.0949, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9639, kappa: 0.9113, kb_relative_information_score: 0.9042, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.4203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9604, kappa: 0.9027, kb_relative_information_score: 0.8952, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9604, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9625, kappa: 0.9078, kb_relative_information_score: 0.9005, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 0.8856, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 0.8856, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 0.8856, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 0.8856, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 0.8856, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 0.8856, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.9511, kappa: 0.8803, kb_relative_information_score: 0.87, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9512, predictive_accuracy: 0.9511, prior_entropy: 0.863, recall: 0.9511, relative_absolute_error: 0.1199, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.8349, kappa: 0.6136, kb_relative_information_score: 0.5475, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8501, predictive_accuracy: 0.8297, prior_entropy: 0.863, recall: 0.8297, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.9136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.9616, kappa: 0.9057, kb_relative_information_score: 0.8984, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.0937, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.964, kappa: 0.9115, kb_relative_information_score: 0.9046, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.088, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.4196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9649, kappa: 0.9137, kb_relative_information_score: 0.9069, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.0859, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.4145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.96, kappa: 0.9018, kb_relative_information_score: 0.8938, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.8966, kappa: 0.7506, kb_relative_information_score: 0.7215, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8997, predictive_accuracy: 0.8952, prior_entropy: 0.863, recall: 0.8952, relative_absolute_error: 0.2569, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.7168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9633, kappa: 0.91, kb_relative_information_score: 0.9029, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.0896, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.4233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.9515, kappa: 0.8812, kb_relative_information_score: 0.871, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9515, predictive_accuracy: 0.9515, prior_entropy: 0.863, recall: 0.9515, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.4878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9617, kappa: 0.9061, kb_relative_information_score: 0.8983, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9639, kappa: 0.9113, kb_relative_information_score: 0.9043, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.4201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8652, kappa: 0.6811, kb_relative_information_score: 0.6326, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8752, predictive_accuracy: 0.8617, prior_entropy: 0.863, recall: 0.8617, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.9576, kappa: 0.896, kb_relative_information_score: 0.8877, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9576, predictive_accuracy: 0.9577, prior_entropy: 0.863, recall: 0.9577, relative_absolute_error: 0.1036, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8897, kappa: 0.736, kb_relative_information_score: 0.7012, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8952, predictive_accuracy: 0.8875, prior_entropy: 0.863, recall: 0.8875, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.7424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.9081, kappa: 0.7791, kb_relative_information_score: 0.7518, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9119, predictive_accuracy: 0.9066, prior_entropy: 0.863, recall: 0.9066, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.6766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.9616, kappa: 0.9056, kb_relative_information_score: 0.8983, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.9466, kappa: 0.8693, kb_relative_information_score: 0.8578, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9467, predictive_accuracy: 0.9465, prior_entropy: 0.863, recall: 0.9465, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.5121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.9337, kappa: 0.839, kb_relative_information_score: 0.8225, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9348, predictive_accuracy: 0.9332, prior_entropy: 0.863, recall: 0.9332, relative_absolute_error: 0.1637, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.5723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.9595, kappa: 0.9008, kb_relative_information_score: 0.8925, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.0992, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.4454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.9287, kappa: 0.8261, kb_relative_information_score: 0.8097, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9292, predictive_accuracy: 0.9284, prior_entropy: 0.863, recall: 0.9284, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.5924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9629, kappa: 0.909, kb_relative_information_score: 0.9018, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.963, prior_entropy: 0.863, recall: 0.963, relative_absolute_error: 0.0906, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.9593, kappa: 0.9003, kb_relative_information_score: 0.8919, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9593, prior_entropy: 0.863, recall: 0.9593, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.4465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.9271, kappa: 0.8227, kb_relative_information_score: 0.8048, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9281, predictive_accuracy: 0.9265, prior_entropy: 0.863, recall: 0.9265, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.271, root_relative_squared_error: 0.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8925, kappa: 0.7431, kb_relative_information_score: 0.7087, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8983, predictive_accuracy: 0.8904, prior_entropy: 0.863, recall: 0.8904, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.7331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9642, kappa: 0.9122, kb_relative_information_score: 0.9052, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.4182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9744, kappa: 0.9372, kb_relative_information_score: 0.912, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.863, recall: 0.9744, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.3112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9723, kappa: 0.9322, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9723, predictive_accuracy: 0.9724, prior_entropy: 0.863, recall: 0.9724, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.3235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9731, kappa: 0.9339, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.973, predictive_accuracy: 0.9731, prior_entropy: 0.863, recall: 0.9731, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9727, kappa: 0.9329, kb_relative_information_score: 0.9205, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9726, predictive_accuracy: 0.9727, prior_entropy: 0.863, recall: 0.9727, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9707, kappa: 0.928, kb_relative_information_score: 0.9098, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9706, predictive_accuracy: 0.9707, prior_entropy: 0.863, recall: 0.9707, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9736, kappa: 0.9351, kb_relative_information_score: 0.9232, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9735, predictive_accuracy: 0.9736, prior_entropy: 0.863, recall: 0.9736, relative_absolute_error: 0.0735, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.3221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.9265, kappa: 0.8215, kb_relative_information_score: 0.8029, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9277, predictive_accuracy: 0.9258, prior_entropy: 0.863, recall: 0.9258, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.6029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9711, kappa: 0.929, kb_relative_information_score: 0.9107, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.971, predictive_accuracy: 0.9711, prior_entropy: 0.863, recall: 0.9711, relative_absolute_error: 0.0876, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9728, kappa: 0.9333, kb_relative_information_score: 0.9117, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9728, predictive_accuracy: 0.9728, prior_entropy: 0.863, recall: 0.9728, relative_absolute_error: 0.0884, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.3149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9749, kappa: 0.9384, kb_relative_information_score: 0.9258, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9749, predictive_accuracy: 0.9749, prior_entropy: 0.863, recall: 0.9749, relative_absolute_error: 0.0719, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.3108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9721, kappa: 0.9317, kb_relative_information_score: 0.913, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9721, predictive_accuracy: 0.9722, prior_entropy: 0.863, recall: 0.9722, relative_absolute_error: 0.0857, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.3218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9748, kappa: 0.9383, kb_relative_information_score: 0.9226, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9748, predictive_accuracy: 0.9749, prior_entropy: 0.863, recall: 0.9749, relative_absolute_error: 0.0758, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.3093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.971, kappa: 0.929, kb_relative_information_score: 0.9065, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.971, predictive_accuracy: 0.971, prior_entropy: 0.863, recall: 0.971, relative_absolute_error: 0.0928, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.3296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9712, kappa: 0.9295, kb_relative_information_score: 0.8926, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9712, predictive_accuracy: 0.9712, prior_entropy: 0.863, recall: 0.9712, relative_absolute_error: 0.1105, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.3294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9739, kappa: 0.9359, kb_relative_information_score: 0.915, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9739, predictive_accuracy: 0.9739, prior_entropy: 0.863, recall: 0.9739, relative_absolute_error: 0.0849, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.3114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9718, kappa: 0.9309, kb_relative_information_score: 0.9005, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9718, predictive_accuracy: 0.9718, prior_entropy: 0.863, recall: 0.9718, relative_absolute_error: 0.1019, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.3212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9741, kappa: 0.9366, kb_relative_information_score: 0.9136, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9741, predictive_accuracy: 0.9741, prior_entropy: 0.863, recall: 0.9741, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.3112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9725, kappa: 0.9326, kb_relative_information_score: 0.9141, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9725, predictive_accuracy: 0.9725, prior_entropy: 0.863, recall: 0.9725, relative_absolute_error: 0.0844, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.3226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9737, kappa: 0.9355, kb_relative_information_score: 0.9106, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9737, predictive_accuracy: 0.9737, prior_entropy: 0.863, recall: 0.9737, relative_absolute_error: 0.0906, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.3111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9715, kappa: 0.93, kb_relative_information_score: 0.8955, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9714, predictive_accuracy: 0.9715, prior_entropy: 0.863, recall: 0.9715, relative_absolute_error: 0.1077, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9757, kappa: 0.9405, kb_relative_information_score: 0.9305, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9757, predictive_accuracy: 0.9758, prior_entropy: 0.863, recall: 0.9758, relative_absolute_error: 0.0661, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.971, kappa: 0.929, kb_relative_information_score: 0.8959, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.971, predictive_accuracy: 0.971, prior_entropy: 0.863, recall: 0.971, relative_absolute_error: 0.1071, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.3247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9701, kappa: 0.9267, kb_relative_information_score: 0.8904, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.863, recall: 0.9701, relative_absolute_error: 0.1128, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9758, kappa: 0.9407, kb_relative_information_score: 0.933, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9758, predictive_accuracy: 0.9758, prior_entropy: 0.863, recall: 0.9758, relative_absolute_error: 0.063, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.3206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9726, kappa: 0.9328, kb_relative_information_score: 0.9025, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9726, predictive_accuracy: 0.9726, prior_entropy: 0.863, recall: 0.9726, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.143, root_relative_squared_error: 0.3167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9738, kappa: 0.9356, kb_relative_information_score: 0.9262, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9737, predictive_accuracy: 0.9738, prior_entropy: 0.863, recall: 0.9738, relative_absolute_error: 0.0702, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9756, kappa: 0.9402, kb_relative_information_score: 0.9313, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9756, predictive_accuracy: 0.9757, prior_entropy: 0.863, recall: 0.9757, relative_absolute_error: 0.0652, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.141, root_relative_squared_error: 0.3121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9753, kappa: 0.9395, kb_relative_information_score: 0.9172, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9753, predictive_accuracy: 0.9753, prior_entropy: 0.863, recall: 0.9753, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.3072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9727, kappa: 0.933, kb_relative_information_score: 0.9019, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9726, predictive_accuracy: 0.9727, prior_entropy: 0.863, recall: 0.9727, relative_absolute_error: 0.1008, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.3158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9714, kappa: 0.9297, kb_relative_information_score: 0.9194, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9713, predictive_accuracy: 0.9714, prior_entropy: 0.863, recall: 0.9714, relative_absolute_error: 0.0762, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.3366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.976, kappa: 0.9412, kb_relative_information_score: 0.9322, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.976, predictive_accuracy: 0.9761, prior_entropy: 0.863, recall: 0.9761, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.142, root_relative_squared_error: 0.3144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9738, kappa: 0.9359, kb_relative_information_score: 0.9095, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9738, predictive_accuracy: 0.9739, prior_entropy: 0.863, recall: 0.9739, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.3133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9721, kappa: 0.9316, kb_relative_information_score: 0.9031, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9721, predictive_accuracy: 0.9721, prior_entropy: 0.863, recall: 0.9721, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.3192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9307, kappa: 0.8284, kb_relative_information_score: 0.7158, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.931, predictive_accuracy: 0.9316, prior_entropy: 0.863, recall: 0.9316, relative_absolute_error: 0.3096, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.4846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9741, kappa: 0.9365, kb_relative_information_score: 0.9209, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9741, predictive_accuracy: 0.9741, prior_entropy: 0.863, recall: 0.9741, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.3139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9645, kappa: 0.9129, kb_relative_information_score: 0.8643, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.163, root_relative_squared_error: 0.3609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9674, kappa: 0.9201, kb_relative_information_score: 0.8772, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.3471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9738, kappa: 0.9357, kb_relative_information_score: 0.9249, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 0.863, recall: 0.9738, relative_absolute_error: 0.0713, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.3274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9721, kappa: 0.9314, kb_relative_information_score: 0.9191, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.972, predictive_accuracy: 0.9721, prior_entropy: 0.863, recall: 0.9721, relative_absolute_error: 0.0772, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9746, kappa: 0.9376, kb_relative_information_score: 0.9135, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9745, predictive_accuracy: 0.9746, prior_entropy: 0.863, recall: 0.9746, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.3089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.936, kappa: 0.8425, kb_relative_information_score: 0.7428, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9359, predictive_accuracy: 0.9363, prior_entropy: 0.863, recall: 0.9363, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.4811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9453, kappa: 0.8652, kb_relative_information_score: 0.766, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9452, predictive_accuracy: 0.9456, prior_entropy: 0.863, recall: 0.9456, relative_absolute_error: 0.2511, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9679, kappa: 0.9211, kb_relative_information_score: 0.8571, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9678, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.1565, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.3489,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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

OpenML APIs