Confusion Matrix in Machine Learning: Everything You Need to Know
Too Long; Didn't ReadIn Machine Learning, the problem of classification involves predicting the categorical class label to which the query data point belongs. The confusion matrix is a tabular representation of the classification model’s performance. This tutorial will help you understand the confusion matrix and the various metrics that you can calculate from it. We’ll start by explaining what classification is, the types of classification problems, and how to interpret the confusion Matrix for a binary classification problem. In binary classification, the class labels `1` and `0` are used. We'll focus on binary classification in this tutorial.