Data Science, Machine Learning, Statistics, Open Source, Crossvalidation.
(e.g., random forest vs. support vector machine) with the best combination of hyperparameters (e.g., random forest with 50 trees vs. one with 5 trees). However, we also need to estimate the generalization error (how well the model will do in production). Nested cross-validation allows us to find