Performance Metrics for Classification Models

It is bar far the easiest way to find the accuracy of your model. It can be used for both binary and multi-class problems. Calculating a confusion matrix can give you a better idea of what your classification model is getting right and what types of errors it is making. The Confusion matrix in itself is not a performance measure as such, but almost all of the performance metrics are based on Confusion Matrix and the numbers inside it. Let's dive deep into the confusion matrix.