# Classifier Evaluation Methods — A Hands-On explanation

*Accuracy/ Recall/ Precision/ Confusion Matrix/ ROC Curve/ AUC*

In pretty much 50% of all Data Science interviews around the world, the interviewee is asked to build and assess a binary classification model. This means classifying a certain observation to be either positive (normally denoted as the number 1) or negative (denoted…