Introduction to Machine Learning Model Interpretation

Figure 1: Photo by Christopher Gower on Unsplash

Regardless of what problem you are solving an interpretable model will always be preferred because both the end-user and your boss/co-workers can understand what your model is really doing. Model Interpretability also helps you debug your model by giving you a chance to see what the model really thinks is important.