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 - 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 - 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 - 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 - 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 - 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 - 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 - 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: 0.904, f_measure: 0.338, kappa: 0.3451, kb_relative_information_score: 227.2956, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.0396, number_of_instances: 531, precision: 0.3235, predictive_accuracy: 0.3842, prior_entropy: 4.8467, recall: 0.3842, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.1406, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.8966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.5314, kappa: 0.5371, kb_relative_information_score: 293.4922, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.0396, number_of_instances: 531, precision: 0.5173, predictive_accuracy: 0.5631, prior_entropy: 4.8467, recall: 0.5631, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.1406, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.4477, kappa: 0.4205, kb_relative_information_score: 228.0193, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.0396, number_of_instances: 531, precision: 0.4511, predictive_accuracy: 0.4501, prior_entropy: 4.8467, recall: 0.4501, relative_absolute_error: 0.5871, root_mean_prior_squared_error: 0.1406, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5828, f_measure: 0.0829, kappa: 0.074, kb_relative_information_score: 60.2452, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.0396, number_of_instances: 531, precision: 0.1077, predictive_accuracy: 0.1638, prior_entropy: 4.8467, recall: 0.1638, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.1406, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.9578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.4871, kappa: 0.4869, kb_relative_information_score: 36.9171, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.0396, number_of_instances: 531, precision: 0.4901, predictive_accuracy: 0.516, prior_entropy: 4.8467, recall: 0.516, relative_absolute_error: 1.0098, root_mean_prior_squared_error: 0.1406, root_mean_squared_error: 0.1406, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.456, kappa: 0.4286, kb_relative_information_score: 221.7354, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.0396, number_of_instances: 531, precision: 0.4595, predictive_accuracy: 0.4576, prior_entropy: 4.8467, recall: 0.4576, relative_absolute_error: 0.592, root_mean_prior_squared_error: 0.1406, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.456, kappa: 0.4286, kb_relative_information_score: 221.7354, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.0396, number_of_instances: 531, precision: 0.4595, predictive_accuracy: 0.4576, prior_entropy: 4.8467, recall: 0.4576, relative_absolute_error: 0.592, root_mean_prior_squared_error: 0.1406, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, average_cost: 0.1145, f_measure: 0.9839, kappa: 0.0951, kb_relative_information_score: -3787781.9628, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9714, prior_entropy: 0.0184, recall: 0.9714, relative_absolute_error: 8.2925, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1692, root_relative_squared_error: 4.0745, total_cost: 32605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.9481, kappa: 0.7147, kb_relative_information_score: 316.3839, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9474, predictive_accuracy: 0.9492, prior_entropy: 0.4849, recall: 0.9492, relative_absolute_error: 0.3333, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.6982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.9452, kappa: 0.7035, kb_relative_information_score: 321.7311, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.945, predictive_accuracy: 0.9454, prior_entropy: 0.4849, recall: 0.9454, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.7652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.9498, kappa: 0.723, kb_relative_information_score: 334.8183, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9491, predictive_accuracy: 0.951, prior_entropy: 0.4849, recall: 0.951, relative_absolute_error: 0.2896, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.7125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.9153, kappa: 0.555, kb_relative_information_score: 204.22, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9177, predictive_accuracy: 0.9134, prior_entropy: 0.4849, recall: 0.9134, relative_absolute_error: 0.4595, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.29, root_relative_squared_error: 0.9516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.9563, kappa: 0.7531, kb_relative_information_score: 371.2017, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9567, predictive_accuracy: 0.9586, prior_entropy: 0.4849, recall: 0.9586, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, average_cost: 0.1044, f_measure: 0.9892, kappa: 0.1408, kb_relative_information_score: -69241466.3756, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9814, prior_entropy: 0.0184, recall: 0.9814, relative_absolute_error: 22.3447, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1412, root_relative_squared_error: 3.4004, total_cost: 29739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, average_cost: 0.1084, f_measure: 0.9898, kappa: 0.1489, kb_relative_information_score: -64359168.4224, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9827, prior_entropy: 0.0184, recall: 0.9827, relative_absolute_error: 20.6306, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1372, root_relative_squared_error: 3.3038, total_cost: 30872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, average_cost: 0.1435, f_measure: 0.9898, kappa: 0.1424, kb_relative_information_score: -44314030.967, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9826, prior_entropy: 0.0184, recall: 0.9826, relative_absolute_error: 8.8657, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1301, root_relative_squared_error: 3.1327, total_cost: 40877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, average_cost: 0.1526, f_measure: 0.9983, kappa: 0.5957, kb_relative_information_score: 10432.5533, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9988, predictive_accuracy: 0.9981, prior_entropy: 0.0184, recall: 0.9981, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0436, root_relative_squared_error: 1.0496, total_cost: 43463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, average_cost: 0.1044, f_measure: 0.9892, kappa: 0.1408, kb_relative_information_score: -69241466.3756, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9814, prior_entropy: 0.0184, recall: 0.9814, relative_absolute_error: 22.3447, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1412, root_relative_squared_error: 3.4004, total_cost: 29739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, average_cost: 0.1442, f_measure: 0.9867, kappa: 0.11, kb_relative_information_score: -3034689.7283, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9767, prior_entropy: 0.0184, recall: 0.9767, relative_absolute_error: 6.7589, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1528, root_relative_squared_error: 3.6785, total_cost: 41077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, average_cost: 0.1433, f_measure: 0.9899, kappa: 0.1441, kb_relative_information_score: -4693550.8378, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9829, prior_entropy: 0.0184, recall: 0.9829, relative_absolute_error: 5.3632, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1255, root_relative_squared_error: 3.0221, total_cost: 40809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, average_cost: 0.1486, f_measure: 0.9853, kappa: 0.0996, kb_relative_information_score: -3404244.2731, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9741, prior_entropy: 0.0184, recall: 0.9741, relative_absolute_error: 7.5115, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.161, root_relative_squared_error: 3.8779, total_cost: 42316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, average_cost: 0.1486, f_measure: 0.9853, kappa: 0.0996, kb_relative_information_score: -3404244.2731, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9741, prior_entropy: 0.0184, recall: 0.9741, relative_absolute_error: 7.5115, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.161, root_relative_squared_error: 3.8779, total_cost: 42316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5305, average_cost: 0.8117, f_measure: 0.9955, kappa: 0.0354, kb_relative_information_score: -530707.9886, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9967, predictive_accuracy: 0.9943, prior_entropy: 0.0184, recall: 0.9943, relative_absolute_error: 1.6597, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0757, root_relative_squared_error: 1.8229, total_cost: 231172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5305, average_cost: 0.8117, f_measure: 0.9955, kappa: 0.0354, kb_relative_information_score: -530707.9886, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9967, predictive_accuracy: 0.9943, prior_entropy: 0.0184, recall: 0.9943, relative_absolute_error: 1.6597, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0757, root_relative_squared_error: 1.8229, total_cost: 231172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4415, f_measure: 0.4114, kb_relative_information_score: -0.0796, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.0014,