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Bayesian Networks Lab with Algorithms by Dong Dam is a document available to read on EtoBox.
What is Bayesian Networks Lab with Algorithms about?
This document details a lab on Bayesian Networks, where the author builds and infers networks using three learning algorithms: NPC, Greedy search-and-score, and Naive Bayes, utilizing a leukemia dataset. The results indicate that while NPC and Greedy algorithms produced similar predictions with a high error rate, Naive Bayes achieved the best performance. The small dataset size suggests that results may vary significantly based on how the training and test sets are split.
- Author
- Dong Dam
- Language
- EN