I am having trouble understanding the following text regarding Bernoulli Naive Bayes. Specifically, the author mentions that $i$ is a feature. However, what is the difference between $x_i$ and $i$?
2025-01-13 05:43:37.1736747017
Bernoulli Naive Bayes Classification
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For the decision rule formula to hold, $x_i$ needs to be binary and $P(i | y) = P(x_i = 1 | y)$ (think about the formula in the case where $x_i = 1$ and the case where $x_i = 0$). So $i$ is the event $x_i = 1$.