K-Fold Cross-Validation
Mastering robust model evaluation by rotating training and testing sets to maximize data utility.
3 docs tagged with "cross-validation"
View all tagsLeave-One-Out Cross-Validation (LOOCV)
The most exhaustive validation technique: training on N-1 samples and testing on a single observation.
Model Selection & Validation
How to choose the right algorithm, split data correctly, and use Cross-Validation to ensure model reliability.