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What is cumulative gain curve in ML?
What is cumulative gain curve in ML?
This recipe explains what is cumulative gain curve in ML
Recipe Objective
What is cumulative gain curve in ML?
The cumulative gain curve evaluates the performance of the model by comparing the results of a random pick with the model. The graph shows the percentage of targets reached while considering a certain percentage of the population with the highest probability to be target according to the model.
How cumulative gain chart is made.
1.) tpr - True Positive Rate or Sensitivity tpr=TP/(TP+FN)
2.) sup - Support (Predictive Positive Rate) sup = (TP+FP)/N = (predicted pos)/total fraction of positively predicted examples
3.) recall 4.) Accuracy
Gain Chart
* True Positive Rate vs Predicted Positive Rate.
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