All Questions
Tagged with conditional-independence naive-bayes
5
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If I engineer a new feature such that feature C = feature A/feature B, must I drop features A and B from a Gaussian Naive Bayes model?
As the question asks, is it bad data science not to drop the dividend and divisor features when creating a new feature that is their quotient when working with a Naive Bayes model? My understanding of ...
- 257
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Improving the Naive Bayes classifier performance through decorrelation?
I was wondering if it is possible to improve the performance of the Naïve Bayes classifier by decorrelating the data. The Naïve Bayes assumes conditional independence of the features given some class $...
- 19
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Derivation of the formula for the probability of a class, given conditionally independent attributes
The following is a formula that finds the posterior probability of a class (i.e. yes or no) given four conditionally independent attributes:
$$P(c|X) = P(x_1|c)\cdot P(x_2|c)\cdot P(x_3|c)\cdot P(x_4|...
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833
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3
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Conditional Independence Example
Is there a canonical example of data which are conditionally independent? In other words, $X_1,\ldots,X_p$ are mutually independent given $Y$. This is the foundational assumption of the naive Bayes ...
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