How do you interpret coefficient of binary regression?

In binary regression, the coefficients represent the change in the log-odds of the outcome occurring for a one-unit increase in the predictor variable, holding all other variables constant. A positive coefficient indicates that as the predictor increases, the likelihood of the outcome occurring also increases, while a negative coefficient suggests the opposite. These coefficients can be exponentiated to obtain odds ratiOS, which provide a more intuitive interpretation of the effect size on the odds of the outcome.