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12:29
YouTube
Dr. Mukesh Kumar
How to implement Naïve Bayes Classification Algorithm using WEKA
Naïve Bayes uses a simple implementation of Bayes Theorem (hence naïve) where the prior probability for each class is calculated from the training data and assumed to be independent of each other (technically called conditionally independent).
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