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Naive Bayes Algorithm in Machine Learning
Naive Bayes assumes that each feature contributes independently to the final classification. For example, in spam detection for sentence “Get free money now”, it treats the words "free" and "money" as unrelated even if they often appear together. This means it multiplies their individual probabilities without considering their relationship.
