Area under the ROC Curve has the most consistent evaluation for binary classification

The proper use of model evaluation metrics is important for model evaluation and model selection in binary classification tasks. This study investigates how consistent different metrics are at evaluating models across data of different prevalence while the relationships between different variables a...

Full description