Interpreting Confusion Matrixes

Using standard metrics to interpret classification models in machine learning

Let’s say you’re running a classification experiment in machine learning and you have a trained model, but you want to understand how good that model actually is.

While there are a lot of different metrics and tools available to evaluate the performance of a classification experiment, the first one I always check is the confusion matrix.