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Last update: February 19, 2014

 

Gains Analysis

The Gains Chart of GeneXproTools is quantile-based and shows the cumulative gain as more cases are included in a campaign or test. The Lift Curve is compared to both a Random Model and an Ideal Model, showing clearly the advantages of using a model as opposed to not using one.



The Random Line in the Gains Chart represents the average response rate. And the Ideal Line represents a perfect model that is never wrong and therefore could select all the estimated positive responses. So, the further up (or down, for inverted models) the Lift Curve is from the Random Line the better the model.

The Gains Ranking Quality (GRQ) is a good indicator of the quality of a model. It is defined as the relation between the area under the Ideal Model and the area under the Lift Curve. It ranges from -1 to +1, with zero corresponding to the Random Model. The better the model the closer the GRQ gets to either +1 or -1 (for inverted perfect models GRQ = -1, whereas for normal perfect models GRQ = 1). As an additional quality measure, the Area Under the Lift Curve (represented by AUC in the Gains Chart) is also evaluated and shown both in the Gains Chart and in the companion Gains Statistics Report.





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