OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32751 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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32751 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.9418, kappa: 0.8563, kb_relative_information_score: 0.8467, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9419, predictive_accuracy: 0.9423, prior_entropy: 0.863, recall: 0.9423, relative_absolute_error: 0.1413, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.5317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.9625, kappa: 0.9082, kb_relative_information_score: 0.9005, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, 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: 0.9056, f_measure: 0.924, kappa: 0.8134, kb_relative_information_score: 0.7982, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9239, predictive_accuracy: 0.9241, prior_entropy: 0.863, recall: 0.9241, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.61,
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: 0.9472, 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: 0.9056, f_measure: 0.924, kappa: 0.8134, kb_relative_information_score: 0.7982, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9239, predictive_accuracy: 0.9241, prior_entropy: 0.863, recall: 0.9241, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.9625, kappa: 0.9082, kb_relative_information_score: 0.9005, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, 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: 0.9007, f_measure: 0.9006, kappa: 0.7631, kb_relative_information_score: 0.7302, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9072, predictive_accuracy: 0.8984, prior_entropy: 0.863, recall: 0.8984, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.7055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.9006, kappa: 0.7631, kb_relative_information_score: 0.7302, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9072, predictive_accuracy: 0.8984, prior_entropy: 0.863, recall: 0.8984, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.7055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.9418, kappa: 0.8563, kb_relative_information_score: 0.8467, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9419, predictive_accuracy: 0.9423, prior_entropy: 0.863, recall: 0.9423, relative_absolute_error: 0.1413, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.5317,
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: 0.9472, 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: 0.9496, f_measure: 0.9609, kappa: 0.904, kb_relative_information_score: 0.8965, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.961, prior_entropy: 0.863, recall: 0.961, relative_absolute_error: 0.0955, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.8094, kappa: 0.5518, kb_relative_information_score: 0.4785, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8229, predictive_accuracy: 0.8037, prior_entropy: 0.863, recall: 0.8037, relative_absolute_error: 0.4809, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.8094, kappa: 0.5518, kb_relative_information_score: 0.4785, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8229, predictive_accuracy: 0.8037, prior_entropy: 0.863, recall: 0.8037, relative_absolute_error: 0.4809, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9615, kappa: 0.9056, kb_relative_information_score: 0.8977, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9615, predictive_accuracy: 0.9615, prior_entropy: 0.863, recall: 0.9615, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.4344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9615, kappa: 0.9056, kb_relative_information_score: 0.8977, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9615, predictive_accuracy: 0.9615, prior_entropy: 0.863, recall: 0.9615, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.4344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9624, kappa: 0.9076, kb_relative_information_score: 0.9002, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9623, predictive_accuracy: 0.9624, prior_entropy: 0.863, recall: 0.9624, relative_absolute_error: 0.0921, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9624, kappa: 0.9076, kb_relative_information_score: 0.9002, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9623, predictive_accuracy: 0.9624, prior_entropy: 0.863, recall: 0.9624, relative_absolute_error: 0.0921, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.9609, kappa: 0.904, kb_relative_information_score: 0.8965, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.961, prior_entropy: 0.863, recall: 0.961, relative_absolute_error: 0.0955, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.9605, kappa: 0.9031, kb_relative_information_score: 0.8951, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9605, 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: 0.1987, root_relative_squared_error: 0.4399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9602, kappa: 0.9021, kb_relative_information_score: 0.8945, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.0973, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9614, kappa: 0.9053, kb_relative_information_score: 0.8975, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.4349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9614, kappa: 0.9053, kb_relative_information_score: 0.8975, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.4349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.9568, kappa: 0.8941, kb_relative_information_score: 0.8853, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9568, predictive_accuracy: 0.9568, prior_entropy: 0.863, recall: 0.9568, relative_absolute_error: 0.1058, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.9568, kappa: 0.8941, kb_relative_information_score: 0.8853, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9568, predictive_accuracy: 0.9568, prior_entropy: 0.863, recall: 0.9568, relative_absolute_error: 0.1058, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.8841, kappa: 0.722, kb_relative_information_score: 0.6864, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.889, predictive_accuracy: 0.882, prior_entropy: 0.863, recall: 0.882, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.7606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.8841, kappa: 0.722, kb_relative_information_score: 0.6864, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.889, predictive_accuracy: 0.882, prior_entropy: 0.863, recall: 0.882, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.7606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9642, kappa: 0.9119, kb_relative_information_score: 0.9051, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, 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: 0.189, root_relative_squared_error: 0.4184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.9625, kappa: 0.908, kb_relative_information_score: 0.9002, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.092, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.955, kappa: 0.8899, kb_relative_information_score: 0.8801, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9551, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.1106, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.4702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.9625, kappa: 0.908, kb_relative_information_score: 0.9002, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.092, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9642, kappa: 0.9119, kb_relative_information_score: 0.9051, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, 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: 0.189, root_relative_squared_error: 0.4184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.9621, kappa: 0.907, kb_relative_information_score: 0.8996, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.9622, kappa: 0.9073, kb_relative_information_score: 0.8996, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9622, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9639, kappa: 0.9113, kb_relative_information_score: 0.9042, 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: 0.0884, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.4204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.7992, kappa: 0.5403, kb_relative_information_score: 0.4451, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8256, predictive_accuracy: 0.7912, prior_entropy: 0.863, recall: 0.7912, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.457, root_relative_squared_error: 1.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.7992, kappa: 0.5403, kb_relative_information_score: 0.4451, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8256, predictive_accuracy: 0.7912, prior_entropy: 0.863, recall: 0.7912, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.457, root_relative_squared_error: 1.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.9621, kappa: 0.907, kb_relative_information_score: 0.8996, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.9622, kappa: 0.9073, kb_relative_information_score: 0.8996, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9622, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9639, kappa: 0.9113, kb_relative_information_score: 0.9042, 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: 0.0884, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.4204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9581, kappa: 0.8972, kb_relative_information_score: 0.8886, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.958, predictive_accuracy: 0.9581, prior_entropy: 0.863, recall: 0.9581, relative_absolute_error: 0.1027, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9581, kappa: 0.8972, kb_relative_information_score: 0.8886, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.958, predictive_accuracy: 0.9581, prior_entropy: 0.863, recall: 0.9581, relative_absolute_error: 0.1027, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9597, kappa: 0.901, kb_relative_information_score: 0.8932, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.0985, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9626, kappa: 0.9083, kb_relative_information_score: 0.9009, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9626, kappa: 0.9083, kb_relative_information_score: 0.9009, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4276,
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: 0.9521, 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: 0.9492, 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: 0.9293, f_measure: 0.9405, kappa: 0.8545, kb_relative_information_score: 0.8414, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9406, predictive_accuracy: 0.9403, prior_entropy: 0.863, recall: 0.9403, relative_absolute_error: 0.1463, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.5408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.901, kappa: 0.7616, kb_relative_information_score: 0.733, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9044, predictive_accuracy: 0.8995, prior_entropy: 0.863, recall: 0.8995, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.317, root_relative_squared_error: 0.7017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.901, kappa: 0.7616, kb_relative_information_score: 0.733, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9044, predictive_accuracy: 0.8995, prior_entropy: 0.863, recall: 0.8995, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.317, root_relative_squared_error: 0.7017,
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: 0.9492, 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: 0.9501, 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: 0.9494, 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: 0.9501, 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: 0.9293, f_measure: 0.9405, kappa: 0.8545, kb_relative_information_score: 0.8414, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9406, predictive_accuracy: 0.9403, prior_entropy: 0.863, recall: 0.9403, relative_absolute_error: 0.1463, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.5408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.964, kappa: 0.9115, kb_relative_information_score: 0.9044, 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: 0.1897, root_relative_squared_error: 0.4199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.964, kappa: 0.9115, kb_relative_information_score: 0.9044, 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: 0.1897, root_relative_squared_error: 0.4199,
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: 0.9546, 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: 0.9531, f_measure: 0.9645, kappa: 0.9127, kb_relative_information_score: 0.906, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9646, prior_entropy: 0.863, recall: 0.9646, relative_absolute_error: 0.0867, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.4163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.9653, kappa: 0.9147, kb_relative_information_score: 0.908, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.0849, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9609, kappa: 0.9043, kb_relative_information_score: 0.8962, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.9411, kappa: 0.8555, kb_relative_information_score: 0.844, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9411, predictive_accuracy: 0.9413, prior_entropy: 0.863, recall: 0.9413, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.5365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.9645, kappa: 0.9127, kb_relative_information_score: 0.906, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9646, prior_entropy: 0.863, recall: 0.9646, relative_absolute_error: 0.0867, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.4163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.9653, kappa: 0.9147, kb_relative_information_score: 0.908, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.0849, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9609, kappa: 0.9043, kb_relative_information_score: 0.8962, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.9478, kappa: 0.8721, kb_relative_information_score: 0.8613, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9478, predictive_accuracy: 0.9478, prior_entropy: 0.863, recall: 0.9478, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.5058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.9478, kappa: 0.8721, kb_relative_information_score: 0.8613, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9478, predictive_accuracy: 0.9478, prior_entropy: 0.863, recall: 0.9478, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.5058,
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: 0.9551, 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: 0.9477, f_measure: 0.9584, kappa: 0.8978, kb_relative_information_score: 0.8895, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9583, predictive_accuracy: 0.9584, prior_entropy: 0.863, recall: 0.9584, relative_absolute_error: 0.1019, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.9488, kappa: 0.8745, kb_relative_information_score: 0.8642, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9488, predictive_accuracy: 0.9489, prior_entropy: 0.863, recall: 0.9489, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.5006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.9116, kappa: 0.7842, kb_relative_information_score: 0.7644, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.912, predictive_accuracy: 0.9113, prior_entropy: 0.863, recall: 0.9113, relative_absolute_error: 0.2173, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.6592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.9644, kappa: 0.9125, kb_relative_information_score: 0.9056, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.4172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.9411, kappa: 0.8555, kb_relative_information_score: 0.844, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9411, predictive_accuracy: 0.9413, prior_entropy: 0.863, recall: 0.9413, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.5365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.9116, kappa: 0.7842, kb_relative_information_score: 0.7644, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.912, predictive_accuracy: 0.9113, prior_entropy: 0.863, recall: 0.9113, relative_absolute_error: 0.2173, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.6592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.9584, kappa: 0.8978, kb_relative_information_score: 0.8895, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9583, predictive_accuracy: 0.9584, prior_entropy: 0.863, recall: 0.9584, relative_absolute_error: 0.1019, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.9644, kappa: 0.9125, kb_relative_information_score: 0.9056, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.4172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.9488, kappa: 0.8745, kb_relative_information_score: 0.8642, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9488, predictive_accuracy: 0.9489, prior_entropy: 0.863, recall: 0.9489, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.5006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9647, kappa: 0.9131, kb_relative_information_score: 0.9064, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9648, prior_entropy: 0.863, recall: 0.9648, relative_absolute_error: 0.0863, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.4155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.965, kappa: 0.9141, kb_relative_information_score: 0.9073, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.0855, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9603, kappa: 0.9026, kb_relative_information_score: 0.8948, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9603, predictive_accuracy: 0.9604, prior_entropy: 0.863, recall: 0.9604, relative_absolute_error: 0.097, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4404,
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: 0.9394, 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: 0.9428, f_measure: 0.9539, kappa: 0.8869, kb_relative_information_score: 0.8775, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9538, predictive_accuracy: 0.9539, prior_entropy: 0.863, recall: 0.9539, relative_absolute_error: 0.113, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9636, kappa: 0.9106, 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: 0.1904, root_relative_squared_error: 0.4216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9603, kappa: 0.9026, kb_relative_information_score: 0.8948, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9603, predictive_accuracy: 0.9604, prior_entropy: 0.863, recall: 0.9604, relative_absolute_error: 0.097, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.964, kappa: 0.9115, kb_relative_information_score: 0.9044, 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: 0.1897, root_relative_squared_error: 0.4199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.961, kappa: 0.9044, kb_relative_information_score: 0.8965, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.961, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.0954, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.4368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.9607, kappa: 0.9033, 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: 0.1981, root_relative_squared_error: 0.4385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.9612, kappa: 0.9049, kb_relative_information_score: 0.8971, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9612, 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: 0.9512, f_measure: 0.961, kappa: 0.9044, kb_relative_information_score: 0.8965, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.961, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.0954, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.4368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.9605, kappa: 0.9031, kb_relative_information_score: 0.8951, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9605, 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: 0.1987, root_relative_squared_error: 0.4399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9531, kappa: 0.8855, kb_relative_information_score: 0.8751, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9534, predictive_accuracy: 0.953, prior_entropy: 0.863, recall: 0.953, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.964, kappa: 0.9115, kb_relative_information_score: 0.9044, 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: 0.1897, root_relative_squared_error: 0.4199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9603, kappa: 0.9024, kb_relative_information_score: 0.8947, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9604, prior_entropy: 0.863, recall: 0.9604, relative_absolute_error: 0.0971, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.4407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9637, kappa: 0.9108, kb_relative_information_score: 0.9039, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.4211,

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

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

OpenML APIs