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docs/Machine Learning/Naive Bayes classifier/Naive-Bayes.md

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The Naive Bayes classifier extends this to classify data points into categories. It assumes that the presence of a particular feature in a class is unrelated to the presence of any other feature (the "naive" assumption).
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For a data point $X = (x_1, x_2, ..., x_n)$ and a class variable $$:
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For a data point $X = (x_1, x_2, ..., x_n)$ and a class variable :
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$$ P(C|X) = \frac{P(X|C) \cdot P(C)}{P(X)} $$
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