Once a machine learning model has been used, the next step is to estimate its performance. There are various performance metrics used to evaluate the machine learning models and some of them are discussed in this tutorial This tutorial takes the case study of binary classifier for facial and non-facial image. Performance matrix discussed in this tutorial are accuracy, confusion matrix, log-loss, ROC and AUC.