What are the assumptions of logistic regression?

Data Science, AI and ML
,
3

Some of the assumptions for logistic:

  • The outcome is a binary or dichotomous variable like yes vs no, positive vs negative, 1 vs 0.
  • There is a linear relationship between the logit of the outcome and each predictor variables. Recall that the logit function is logit(p) = log(p/(1-p)) , where p is the probabilities of the outcome (see Chapter @ref(logistic-regression)).
  • There is no influential values (extreme values or outliers) in the continuous predictors
  • There is no high intercorrelations (i.e. multicollinearity) among the predictors.