Machine Learning, Linear Regression, Ridge Regression, Lasso Regression, Genomics.
learns too well the training data but is losing the ability to generalize. In practice more than learning from the data, the model is memorizing the training set. As you can see in the figure below an example of underfitting and overfitting. In this case, is a polynomial regression (where some