Machine Learning, Model Selection, Hyperparameter Tuning, Learning Curve, Cross Validation.
the fraud! To avoid such issues, we need completely independent data for estimating the generalization error of a model. We will come back to this point in the context of cross validation. If data is not an issue The recommended strategy for model selection depends on the amount of data available.