Logistic regression (machine learning)

Logistic regression in machine learning is a classification model which predicts the probabilities of binary outcomes, as opposed to linear regression which predicts actual values. 

Logistic regression outputs are constrained between 0 and 1, and hence is a popular simple classification method for predicting whether or not a particular disease is present. 

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