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Question on interpreting a logistic regression with information from the confusion matrix.
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So I have a logistic regression and the I have the following information as outputs:
-The probability of the y variables being either on or zero
-a normalized confusion matrix
So if Probability of 1 for a given set of inputs is X, the probability a true 1 is A and probability of a false 1 is B, then the the probability of 1 in this instance is:
X* (A/A B)
Am I correct in my understanding?
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