Receiver Operating Characteristics (ROC) curve is used to estimate the worth of a logistic regression model. It is a plot between the true positive rate on the Y – axis and the false positive rate on the X – axis.
The ROC curve is a representation of the performance of a binary classification model. The diagonal line represents the case of not using a model. The area under the curve (AUC) of the ROC is a significant parameter. A model with a higher area under the curve (AUC) is preferred.
