TY - JOUR AU - Arboretti Giancristofaro, Rosa AU - Salmaso, Luigi PY - 2003/01/01 Y2 - 2024/03/28 TI - Model performance analysis and model validation in logistic regression JF - Statistica JA - Stat VL - 63 IS - 2 SE - Articles DO - 10.6092/issn.1973-2201/358 UR - https://rivista-statistica.unibo.it/article/view/358 SP - 375-396 AB - In this paper a new model validation procedure for a logistic regression model is presented. At first, we illustrate a brief review of different techniques of model validation. Next, we define a number of properties required for a model to be considered "good", and a number of quantitative performance measures. Lastly, we describe a methodology for the assessment of the performance of a given model by using an example taken from a management study. ER -