OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32444 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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32444 Runs

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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: 0.7961, 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: 0.9496, 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: 0.9496, 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: 0.9522, 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: 0.9527, 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: 0.9487, f_measure: 0.9584, kappa: 0.898, kb_relative_information_score: 0.8895, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9584, 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: 0.9487, f_measure: 0.9584, kappa: 0.898, kb_relative_information_score: 0.8895, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9584, 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: 0.9495, f_measure: 0.9594, kappa: 0.9005, kb_relative_information_score: 0.8923, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9594, kappa: 0.9005, kb_relative_information_score: 0.8923, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8985, kappa: 0.7566, kb_relative_information_score: 0.7256, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9032, predictive_accuracy: 0.8967, prior_entropy: 0.863, recall: 0.8967, relative_absolute_error: 0.253, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.7114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8985, kappa: 0.7566, kb_relative_information_score: 0.7256, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9032, predictive_accuracy: 0.8967, prior_entropy: 0.863, recall: 0.8967, relative_absolute_error: 0.253, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.7114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9617, kappa: 0.9059, kb_relative_information_score: 0.8982, 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: 0.0939, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9617, kappa: 0.9059, kb_relative_information_score: 0.8982, 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: 0.0939, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.9646, kappa: 0.913, kb_relative_information_score: 0.9059, 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: 0.4165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.9646, kappa: 0.913, kb_relative_information_score: 0.9059, 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: 0.4165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.955, kappa: 0.8902, kb_relative_information_score: 0.8802, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9553, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.1105, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.4701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.955, kappa: 0.8902, kb_relative_information_score: 0.8802, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9553, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.1105, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.4701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.8613, kappa: 0.6697, kb_relative_information_score: 0.6231, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8689, predictive_accuracy: 0.8581, prior_entropy: 0.863, recall: 0.8581, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.8338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.8613, kappa: 0.6697, kb_relative_information_score: 0.6231, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8689, predictive_accuracy: 0.8581, prior_entropy: 0.863, recall: 0.8581, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.8338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9602, kappa: 0.9023, kb_relative_information_score: 0.8943, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.0975, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9602, kappa: 0.9023, kb_relative_information_score: 0.8943, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.0975, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9627, kappa: 0.9085, kb_relative_information_score: 0.901, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.0913, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9627, kappa: 0.9085, kb_relative_information_score: 0.901, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.0913, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4273,
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: 0.9521, 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: 0.9507, f_measure: 0.9613, kappa: 0.905, kb_relative_information_score: 0.8974, 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: 0.1965, root_relative_squared_error: 0.4351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9613, kappa: 0.905, kb_relative_information_score: 0.8974, 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: 0.1965, root_relative_squared_error: 0.4351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9594, kappa: 0.9004, kb_relative_information_score: 0.8924, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9594, kappa: 0.9004, kb_relative_information_score: 0.8924, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9228, kappa: 0.8129, kb_relative_information_score: 0.7929, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9244, predictive_accuracy: 0.9221, prior_entropy: 0.863, recall: 0.9221, relative_absolute_error: 0.191, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9228, kappa: 0.8129, kb_relative_information_score: 0.7929, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9244, predictive_accuracy: 0.9221, prior_entropy: 0.863, recall: 0.9221, relative_absolute_error: 0.191, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.963, kappa: 0.9091, kb_relative_information_score: 0.902, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.963, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.0904, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.192, root_relative_squared_error: 0.4251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.963, kappa: 0.9091, kb_relative_information_score: 0.902, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.963, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.0904, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.192, root_relative_squared_error: 0.4251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.9497, kappa: 0.877, kb_relative_information_score: 0.8659, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9499, predictive_accuracy: 0.9495, prior_entropy: 0.863, recall: 0.9495, relative_absolute_error: 0.1236, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.4973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.9497, kappa: 0.877, kb_relative_information_score: 0.8659, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9499, predictive_accuracy: 0.9495, prior_entropy: 0.863, recall: 0.9495, relative_absolute_error: 0.1236, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.4973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8831, kappa: 0.7209, kb_relative_information_score: 0.6827, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8896, predictive_accuracy: 0.8806, prior_entropy: 0.863, recall: 0.8806, relative_absolute_error: 0.2926, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8831, kappa: 0.7209, kb_relative_information_score: 0.6827, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8896, predictive_accuracy: 0.8806, prior_entropy: 0.863, recall: 0.8806, relative_absolute_error: 0.2926, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9582, kappa: 0.8976, kb_relative_information_score: 0.8888, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9582, predictive_accuracy: 0.9582, prior_entropy: 0.863, recall: 0.9582, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9582, kappa: 0.8976, kb_relative_information_score: 0.8888, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9582, predictive_accuracy: 0.9582, prior_entropy: 0.863, recall: 0.9582, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9568, kappa: 0.8942, kb_relative_information_score: 0.8851, 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: 0.1059, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.4603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9568, kappa: 0.8942, kb_relative_information_score: 0.8851, 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: 0.1059, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.4603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.9549, kappa: 0.8895, kb_relative_information_score: 0.88, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9549, 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: 0.2125, root_relative_squared_error: 0.4704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, 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: 0.9453, f_measure: 0.9549, kappa: 0.8895, kb_relative_information_score: 0.88, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9549, 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: 0.2125, root_relative_squared_error: 0.4704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9631, kappa: 0.9094, kb_relative_information_score: 0.9023, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.0901, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9631, kappa: 0.9094, kb_relative_information_score: 0.9023, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.0901, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9591, kappa: 0.8999, kb_relative_information_score: 0.8913, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.1003, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9591, kappa: 0.8999, kb_relative_information_score: 0.8913, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.1003, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.8569, kappa: 0.6674, kb_relative_information_score: 0.6067, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8749, predictive_accuracy: 0.852, prior_entropy: 0.863, recall: 0.852, relative_absolute_error: 0.3627, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.8517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.8569, kappa: 0.6674, kb_relative_information_score: 0.6067, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8749, predictive_accuracy: 0.852, prior_entropy: 0.863, recall: 0.852, relative_absolute_error: 0.3627, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.8517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.9337, kappa: 0.8388, kb_relative_information_score: 0.8226, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9346, predictive_accuracy: 0.9332, prior_entropy: 0.863, recall: 0.9332, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.9337, kappa: 0.8388, kb_relative_information_score: 0.8226, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9346, predictive_accuracy: 0.9332, prior_entropy: 0.863, recall: 0.9332, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9603, kappa: 0.9027, kb_relative_information_score: 0.8947, 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: 0.0971, 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: 0.9507, f_measure: 0.9603, kappa: 0.9027, kb_relative_information_score: 0.8947, 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: 0.0971, 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: 0.9539, 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: 0.9539, 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: 0.9458, f_measure: 0.9533, kappa: 0.8858, kb_relative_information_score: 0.8754, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9531, prior_entropy: 0.863, recall: 0.9531, relative_absolute_error: 0.1149, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.9535, kappa: 0.8862, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9536, predictive_accuracy: 0.9535, prior_entropy: 0.863, recall: 0.9535, relative_absolute_error: 0.114, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9657, kappa: 0.9157, kb_relative_information_score: 0.909, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9657, prior_entropy: 0.863, recall: 0.9657, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.4098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.765, kappa: 0.4655, kb_relative_information_score: 0.3493, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7951, predictive_accuracy: 0.7551, prior_entropy: 0.863, recall: 0.7551, relative_absolute_error: 0.6001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9431, kappa: 0.8614, kb_relative_information_score: 0.8481, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9436, predictive_accuracy: 0.9428, prior_entropy: 0.863, recall: 0.9428, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.5293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.9572, kappa: 0.8951, kb_relative_information_score: 0.8861, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.9623, kappa: 0.9075, kb_relative_information_score: 0.8999, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9622, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.0923, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.4296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.9188, kappa: 0.8031, kb_relative_information_score: 0.7824, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9203, predictive_accuracy: 0.9181, prior_entropy: 0.863, recall: 0.9181, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.6336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.9556, kappa: 0.8912, kb_relative_information_score: 0.882, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9556, predictive_accuracy: 0.9556, prior_entropy: 0.863, recall: 0.9556, relative_absolute_error: 0.1088, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.4664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.943, kappa: 0.861, kb_relative_information_score: 0.8478, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9435, predictive_accuracy: 0.9427, prior_entropy: 0.863, recall: 0.9427, relative_absolute_error: 0.1404, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.5298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.9635, kappa: 0.9102, kb_relative_information_score: 0.9035, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9635, predictive_accuracy: 0.9637, prior_entropy: 0.863, recall: 0.9637, relative_absolute_error: 0.089, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.825, kappa: 0.5995, kb_relative_information_score: 0.5165, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8512, predictive_accuracy: 0.818, prior_entropy: 0.863, recall: 0.818, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.9444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9584, kappa: 0.8979, kb_relative_information_score: 0.8894, 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: 0.102, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.9624, kappa: 0.9078, kb_relative_information_score: 0.9004, 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: 0.0919, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.8662, kappa: 0.6795, kb_relative_information_score: 0.6377, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8717, predictive_accuracy: 0.8637, prior_entropy: 0.863, recall: 0.8637, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.8174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.9459, kappa: 0.868, kb_relative_information_score: 0.8555, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9463, predictive_accuracy: 0.9456, prior_entropy: 0.863, recall: 0.9456, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.5162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.9602, kappa: 0.9025, kb_relative_information_score: 0.8943, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.0975, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.9269, kappa: 0.8216, kb_relative_information_score: 0.8052, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9273, predictive_accuracy: 0.9267, prior_entropy: 0.863, recall: 0.9267, relative_absolute_error: 0.1797, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.5995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.9463, kappa: 0.8695, kb_relative_information_score: 0.8565, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9471, predictive_accuracy: 0.946, prior_entropy: 0.863, recall: 0.946, relative_absolute_error: 0.1324, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.5146,
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: 0.9543, f_measure: 0.9645, kappa: 0.9129, kb_relative_information_score: 0.9059, 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: 0.4165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8807, kappa: 0.715, kb_relative_information_score: 0.6767, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8868, predictive_accuracy: 0.8783, prior_entropy: 0.863, recall: 0.8783, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9625, kappa: 0.908, kb_relative_information_score: 0.9005, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.0917, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.951, kappa: 0.88, kb_relative_information_score: 0.8695, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9511, predictive_accuracy: 0.9509, prior_entropy: 0.863, recall: 0.9509, relative_absolute_error: 0.1204, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.4907,
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: 0.9541, 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: 0.9945, f_measure: 0.9684, kappa: 0.9226, kb_relative_information_score: 0.8817, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.3428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9434, kappa: 0.8604, kb_relative_information_score: 0.7533, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9433, predictive_accuracy: 0.9437, prior_entropy: 0.863, recall: 0.9437, relative_absolute_error: 0.2661, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9728, kappa: 0.9333, kb_relative_information_score: 0.9056, mean_absolute_error: 0.0392, 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: 0.0962, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9445, kappa: 0.8632, kb_relative_information_score: 0.7625, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9444, predictive_accuracy: 0.9448, prior_entropy: 0.863, recall: 0.9448, relative_absolute_error: 0.255, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.969, kappa: 0.924, kb_relative_information_score: 0.8839, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.3423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9694, kappa: 0.9249, kb_relative_information_score: 0.8865, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9694, predictive_accuracy: 0.9694, prior_entropy: 0.863, recall: 0.9694, relative_absolute_error: 0.1186, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.3332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9731, kappa: 0.9341, kb_relative_information_score: 0.9094, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9731, predictive_accuracy: 0.9732, prior_entropy: 0.863, recall: 0.9732, relative_absolute_error: 0.0912, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.3175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9731, kappa: 0.9341, kb_relative_information_score: 0.9094, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9731, predictive_accuracy: 0.9732, prior_entropy: 0.863, recall: 0.9732, relative_absolute_error: 0.0912, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.3175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9747, kappa: 0.9379, kb_relative_information_score: 0.9171, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.863, recall: 0.9747, relative_absolute_error: 0.0826, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9747, kappa: 0.9379, kb_relative_information_score: 0.9171, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.863, recall: 0.9747, relative_absolute_error: 0.0826, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9598, kappa: 0.9014, kb_relative_information_score: 0.8514, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9598, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9598, kappa: 0.9014, kb_relative_information_score: 0.8514, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9598, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9747, kappa: 0.9379, kb_relative_information_score: 0.919, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.863, recall: 0.9747, relative_absolute_error: 0.0804, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.3096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9747, kappa: 0.9379, kb_relative_information_score: 0.919, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.863, recall: 0.9747, relative_absolute_error: 0.0804, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.3096,

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