Fast growing and interpretable oblique trees via logistic regression models
The classification tree is an attractive method for classification as the predictions it makes are more transparent than most other classifiers. The most widely accepted approaches to tree-growth use axis-parallel splits to partition continuous attributes. Since the interpretability of a tree dimini...
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| Format: | Thesis |
| Language: | English |
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2009
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