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.
In the Class Comparison step, select one or more predictive models for analysis.
Click Show comparison curves.
In the Comparison curves dialog box, you can:
Click the Behavior tab to show the cumulative behavior for all models.
Click the Lift tab to show the improvement in the cumulative behavior over the average behavior in scoring models.
Click the Odds tab to show the cumulative odds for the extended scoring models.
Click the Gains tab to show the cumulative percentage of positive cases for all models.
Click the Value tab to show the cumulative value for scoring and extended scoring models. This tab is available only if you have a numeric predictor with type as value during data analysis. You can view the graph for all the value predictors by choosing the predictor from the drop-down list.
Click the Discrimination tab to show the discrimination for scoring and extended scoring models.
Optional: Click Export as CSV to save the score data as a CSV file. This file includes information about the cumulative score for cases.
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