Classification and Regression Trees
Free SOA Exam SRM (Statistics for Risk Modeling) lesson in Decision Trees. 19 min read, ~2,814 words.
Regression trees predict the mean of Y in each terminal node; classification trees predict the majority class. Same tree structure, different prediction rule. Regression splits minimize residual sum of squares (RSS); classification splits minimize Gini index or cross-entropy. Classification error rate is too coarse for growing. Trees grow greedy and...
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What this lesson covers
- Content
- Example 1
- Example 2
- Example 3
- Common Mistakes
- Key Takeaways
- Exam Shortcuts
Learning objectives
- 4b
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