What is Confusion Matrix

A confusion matrix is a table that is often used to describe the performance of a classification model, the result obtained from the confusion matrix is

obtained by comparing the result of the test dataset for which the true values known. depending on the type of classification model the number of classes may

vary but the concept is very simple even the correlated terminology can create confusion.

A confusion matrix is useful in the supervised learning category of machine learning using a labelled data set. As shown below, it is represented by a table.

This is a sample confusion matrix for a binary classifier (i.e.…