question archive In a binary classification problem, let p represent the probability of class label "1", which implies that 1 - p represents probability of class label "0"
In a binary classification problem, let p represent the probability of class label "1", which implies that 1 - p represents probability of class label "0"
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In a binary classification problem, let p represent the probability of class label "1", which implies that 1 - p represents probability of class label "0". The logistic function (also called the "inverse logit") is the cumulative distribution function of logistic distribution which maps a real number z to the open interval
