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Dynamic Pruning in Random Forests by PoornaDurgaYeddu is a document available to read on EtoBox.
What is Dynamic Pruning in Random Forests about?
The document discusses dynamic pruning of random forest classifiers. It introduces random forests and existing static pruning methods. It then proposes a dynamic pruning method and describes the implementation requirements including programming languages, packages, tools and datasets used. The results show the proposed dynamic pruning method achieved higher accuracy on cancer detection and qualitative bankruptcy datasets compared to the standard Weka random forest, with time complexities of O(mn log n) to b
- Author
- PoornaDurgaYeddu
- Language
- EN