Since all of the features are binary, a coefficient of β indicates that the corresponding feature, when present, adds a weight of β to the log odds (i.e., multiplies the odds of an error by a factor of e β ).
features with positive coefficients increase the odds of an error, and features with negative coefficients decrease the odds of an error.