Model validation in machine learning: A scenario-based guide from hold-out splits to nested group cross-validation in biomedical and applied research

cs.LG, cs.AI

Submitted: 2026-10-01

Updated: 2026-10-01

Comments: Tutorial with eight controlled scenarios; includes MATLAB and Python/scikit-learn code listings

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks