Use the Gain and Lift charts to assess the performance of your
classification model. The Gain chart plots the total positive rate in percent
versus the percent of total counts. The Lift chart plots the cumulative lift
(or non-cumulative lift) versus the percent of total counts.
Interpretation of Gain chart
The training and test lines represent the expected response using the
predictive model. The training data set fits the model and the test data set
evaluates the model. The dotted reference line represents a line with slope =
1, which is the expected random response without the model.
Interpretation of Lift chart
The training and test lines represent the expected response using the
predictive model. The training data set fits the model and the test data set
evaluates the model. Lift is the ratio of the gain percentage relative to the
expected random result. The dotted reference line represents a cumulative lift
of 1, which means that there is no gain compared with random.