Logistic Regression

Logistic regression is an algorithm for linear and binary classification problems. It is a classification, not regression algorithm. 1. From odds ratio to sigmoidal logistic function If p is the probability of a sample being a positive event, then the odds ratio is defined as: odds ratio=p1p. The logarithm of the odds ratio function is called logit function: z=logit(p)=log(p1p). Logit function maps the probability {p|p[0,1]} to the entire real domain {z|z(,+)}.

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