Tag: classification
-
Classification: ROC Curve and AUC

ROC Curve A ROC (receiver operating characteristic) Curve is a graph showing the performance of a classification model at different threshold values. On its X-axis we plot the FPR (False Positive Rate) and TPR (True Positive Rate) on the Y-axis. TPR is a synonym for recall and is defined as follows: FPR is defined as…
-
Classification: Threshold value
Logistic Regression returns a probability, i.e between zero and one. We can return this probability the way it is (e.g. probability of a particular email being “spam” is 0.733) or we can convert it into a binary value like Email_spam (0 or 1). What do the probabilities indicate? If a Logistic Regression model returns a…