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Nested learning
Machine Learning
Nested Learning in Machine Learning: A Clear & Complete Beginner’s Guide (2026)
What Is Nested Learning in Machine Learning? Nested learning (also called nested cross-validation) is a strong model evaluation technique in machine learning that prevents overfitting and data leakage during hyperparameter tuning. Unlike standard cross-validation, it uses two separate validation loops: This double-loop structure ensures your model’s accuracy scores reflect real-world performance, not just training data […]