Hands-On Artificial Intelligence for Cybersecurity

Linear regression – pros and cons

As we have seen, the simplicity of implementation represents an undoubted advantage of the linear regression model. However, the limitations of the model are rather important.

In fact, the linear regression model can only be used to manage quantitative data, whereas in the case where the predictive analysis used categorical data, we have to resort to the logistic regression model. Furthermore, the major limitation of linear regression is that the model assumes that features are mostly unrelated; that is, they do not influence each other. This assumption legitimizes the representation of the products between the features and their respective weights as sums of independent terms.

There are, however, real cases ...