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Logistic Regression Framework

Lift Chart

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Lift Chart

The Lift Chart of GeneXproTools shows both the Lift Curve and Cumulative Lift Curve on the same graph. These curves are also shown in relation to a Random Model and an Ideal Model.

Lift Chart - Logistic Regression Framework
 

The Random line in the Lift 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. The point where the Lift Curve crosses the Random line corresponds approximately to the percentage of the population beyond which the benefits from using the model are lost.

Other useful visual clues from the Lift Chart include the Area Between both Lift Curves (represented by ABC in the Lift Chart). Theoretically, the greater ABC the better the model. The individual areas under each of the Lift Curves are also computed and shown both on the Lift Chart and in the companion Lift Statistics Report.

The Lift Ranking Quality (LRQ) is yet another useful indicator of the accuracy of a model. It corresponds to the ABC area normalized against the area under the Ideal line. Negative values both for the ABC and LRQ are indicative of an inverted model.

Lift Chart & Analysis - Logistic Regression Framework

 
 
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Logistic Regression Framework

   
   
 
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"GeneXproTools is being used to look at problems involving parasite populations, where the data is highly skewed. The results using GeneXproTools are considerably better than those obtained using conventional statistics."

Prof John Barrett
Head of the Parasitology Group
University of Wales, UK

   
 

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