In logistic regression, the dependent variable (Y) has only two possible values (0 and 1, 'yes' and 'no', or 'true' and 'false'). The algorithm applies the model to the data and predicts the most likely outcome.
In logistic regression, the dependent variable (Y) has only two possible values (0 and 1, 'yes' and 'no', or 'true' and 'false'). The algorithm applies the model to the data and predicts the most likely outcome.