Overfitting in machine learning is a problem in which the ML model fails to generalize well to unseen data because its predictions very tightly much the training data. An overfitting model has  high variance and low bias. Overfitting is the other pole to underfitting. The desired situation between overfitting and underfitting is a good fit … Read more