Nested Cross-Validation — Hyperparameter Optimization and Model Selection

Deep dive into Nested Cross-Validation

Image by Mohamed Hassan from Pixabay

Cross-Validation also referred to as out of sampling technique is an essential element of a data science project. It is a resampling procedure used to evaluate machine learning models and access how the model will perform for an independent test dataset.