In the Model analysis step you can compare and view scores of one or more predictive models in a graphical representation, analyze predictive models' score distribution, and compare the classification of scores of one or more predictive models.
- Comparing scores generated by models
Use score comparison to compare the scores generated by different models in terms of behavior, lift, odds, gains, value, and discrimination as displayed in the comparison curves.
- Checking score distribution
Score distribution allows you to analyze how a predictive model segments the cases in the population. Typically, the range of scores is broken intro intervals with increasing likelihood of positive type of behavior. The behavior is based on the behavior of the cases in the development sample that fall into each interval.
- Comparing the classification of scores generated by models
Compare the classifications or segmentation of the scores generated by different models in terms of behavior, odds, gains, value, and discrimination as displayed in the comparison curves step.