Demystifying the Confusion Matrix
Not nearly as confusing as the name implies!
Published in
5 min readDec 18, 2019
The confusion matrix is widely used to evaluate supervised machine learning classifiers. It gives us a way to visualize how capable the model is in predicting the class of a test observation. It is made up of a contingency table of actual labels compared to predictions made by the model. For the sake of simplicity, it will be…
