Machine Learning, Linear Regression, Ridge Regression, Lasso Regression, Genomics.
(fit, problem diagnosis, and solving): here Underfitting and overfitting Let’s discuss briefly an important point. Underfitting and overfitting. The goal of a good model is that is able to generalize well when it encounters new data. This ability allows your model to make predictions on unseen data