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Enhancing Naive Bayes Classification by 517wangyiqi is a document available to read on EtoBox.
What is Enhancing Naive Bayes Classification about?
The document describes two algorithms to improve naive Bayes classification: instance weighted naive Bayes (IWNB) and combined neighborhood naive Bayes (CNNB). IWNB weights training instances based on similarity to the mode, and CNNB builds multiple naive Bayes models on different neighborhoods and averages their predictions. The algorithms are experimentally tested on 36 UCI datasets, and both significantly outperform standard naive Bayes.
- Author
- 517wangyiqi
- Language
- EN