# Logistic regression, also called a logit model, is used to model dichotomous outcome variables. # In the logit model the log odds of the outcome is modeled as a linear combination of the predictor ...
% performance is compared to linear disciminant analysis. X_test = [ones(N_test, 1) (X_scale*(rand(N_test, 1)-0.5))]; X_test = [X_test (X_scale*(rand(N_test, 1)-0.5 ...
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