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Overfitting and UnderfittingOverfitting refers to cases where a model performs well on the training set but shows poor performance on the validation set.Underfitting occurs when there isn't big difference between training and validation set performance, but both show poor performance.Learning CurvesLearning curve: Graph showing the model's learning progressLearning curve at left is a typical gra..

Overfitting and UnderfittingBefore we talk about what cross validation method is, we should first think about overfitting and underfitting in terms of machine learning. In general ml problems, we utilize explanatory variables from train data to predict the target variable in the test data. However, test data would not have target variable which makes difficult for us to validate the performance ..