0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.6668, kappa: 0.3325, kb_relative_information_score: 55.1506, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4988, number_of_instances: 162, precision: 0.6672, predictive_accuracy: 0.6667, prior_entropy: 0.9983, recall: 0.6667, relative_absolute_error: 0.66, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5656, root_relative_squared_error: 1.1325, scimark_benchmark: 1152.5657, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.5317, kappa: 0.1441, kb_relative_information_score: 26.9513, mean_absolute_error: 0.4156, mean_prior_absolute_error: 0.4988, number_of_instances: 162, precision: 0.6261, predictive_accuracy: 0.5864, prior_entropy: 0.9983, recall: 0.5864, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6345, root_relative_squared_error: 1.2705, scimark_benchmark: 1145.1774, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.6597, kappa: 0.3247, kb_relative_information_score: 53.0389, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4988, number_of_instances: 162, precision: 0.6674, predictive_accuracy: 0.6605, prior_entropy: 0.9983, recall: 0.6605, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5753, root_relative_squared_error: 1.1519,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.7399, kappa: 0.4783, kb_relative_information_score: 79.7144, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.4988, number_of_instances: 162, precision: 0.7411, predictive_accuracy: 0.7407, prior_entropy: 0.9983, recall: 0.7407, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.995,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.6545, kappa: 0.3095, kb_relative_information_score: 51.032, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.4988, number_of_instances: 162, precision: 0.6564, predictive_accuracy: 0.6543, prior_entropy: 0.9983, recall: 0.6543, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5806, root_relative_squared_error: 1.1626,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6217, f_measure: 0.617, kappa: 0.2318, kb_relative_information_score: 38.5715, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4988, number_of_instances: 162, precision: 0.6169, predictive_accuracy: 0.6173, prior_entropy: 0.9983, recall: 0.6173, relative_absolute_error: 0.7611, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2262,

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6791, f_measure: 0.6729, kappa: 0.3445, kb_relative_information_score: 57.0527, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4988, number_of_instances: 162, precision: 0.6731, predictive_accuracy: 0.6728, prior_entropy: 0.9983, recall: 0.6728, relative_absolute_error: 0.6477, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5644, root_relative_squared_error: 1.1302,