Cross_Validation

Cross-Validation

Cross-validation is a resampling method that splits the data into training and validation sets to estimate how well a model will perform on new data. It is very common in machine learning because prediction is usually the main goal. In econometrics, it is less common in traditional causal work, but it is useful for forecasting, model comparison, and other prediction-focused problems.

Some types of CV