Preface: The threshold value of the logistic regression decides the four values of the confusion matrix. As a result, it becomes difficult to choose a suitable threshold value. Therefore to avoid an overwhelming number of confusion matrices, we use ROC(Receiver Operator Characteristics) and AUC(Area Under Curve) graph. What is the ROC graph? ROC is a simple line graph that helps the user to summarise all the information about the threshold value. In the ROC graph, Y-axis represents sensitivity, also known as the True-Positive Rate and X-axis represents 1-Specificity, also known as False-Positive rate. The orange line in the picture above
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