Resampling and Cross-Validation
Free SOA Exam SRM (Statistics for Risk Modeling) lesson in Basics of Statistical Learning. 14 min read, ~2,060 words.
Validation set approach: split once into training and test. Simple, but the estimate is high-variance and the model trains on less data. k-fold cross-validation: partition into k equal folds, train on k-1, test on 1, rotate. Average the k test errors. Standard choices are k = 5 or k =...
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What this lesson covers
- Content
- Example 1
- Example 2
- Example 3
- Example 4
- Common Mistakes
- Key Takeaways
- Exam Shortcuts
Learning objectives
- 1d
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