machine-learning
Regression trees and recursive binary splitting
taught
Partitioning feature space into rectangles via a greedy, top-down splitting algorithm.
Taught in
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Regression trees and recursive binary splitting
Modern Machine Learning
Requires
- regression-evaluation-metrics required
Required by
- Bagging and out-of-bag error required
- Classification trees: Gini, entropy, and classification error required
- Cost-complexity pruning required
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Local knowledge map
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