Feature Importance and Model Explainability

Let's look at the linear models (linear regression, logistic regression, and their regularization extensions). We find a set of coefficients ($\beta$ values) for features in the training dataset, and then the weighted sum (coefficient_1$\times$feature_1$+ \cdots$ ...