A new explanatory index for evaluating the binary logistic regression based on the sensitivity of the estimated model

We propose a new explanatory index for evaluating the binary logistic regression model based on the sensitivity of the estimated model. We previously formalized the idea of sensitivity and established the principles a statistic should comply with to be considered a sensitivity index. We apply the results to a practical example and compare the results with those obtained utilizing other indices.