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Core Probability
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Independence
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528.
Naive Bayes Independence Assumption
easy
In a Naive Bayes classifier, which core assumption is made about the input features?
A
Features are independent of the target class label
B
Features are conditionally independent of each other given the class label
C
Features must be uncorrelated in the original feature space before any transformation
D
Features are jointly normally distributed given the class label
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