The ROC Curve

The ROC Curve is a commonly used method for and evaluating the performance of classification models. ROC curves use a combination the false positive rate (i.e. occurrences that were predicted positive, but actually negative) and true positive rate (i.e. occurrences that were correctly predicted) to build up a summary picture of the classification performance. ROC… Read More »