Lift Chart

The Lift Chart measures the effectiveness of models by calculating the ratio between the result obtained with a model and the result obtained without a model. The result obtained without a model is based on randomly selected records. In the chart, it is represented by the random curve.

The Lift Chart also shows the lift factor between different points on the x-coordinate. It shows a factor f if you take into account about n% of the data.

In the Lift Chart, the random curve is always represented as a horizontal line. At that point in the chart where the model curve declines below the random curve, the lift factor is smaller than 1. This means that the records of the model contain fewer target values than a random sample with equally distributed target values.

The following figure shows the Lift Chart in the Chart section of the Gains/Lift View.
Figure 1. The Lift Chart in the Chart section of the Gains/Lift View
This graphic shows the Lift Chart in the Chart section of the Gains/Lift View.

The x-coordinate of the Lift Chart shows the percentage of the cumulated number of sorted data records of the current model. The data records are sorted in descending order by the confidence that the model assigns to a prediction of the selected value of the target field.

You can specify to display absolute values or percentages of the total amount of records.

The y-coordinate of the Lift Chart shows the ratio between the results that are obtained with a model and without a model.

You can specify to display average values for the target field in percent or the lift factor.

If you specified to display the lift factor by selecting the Lift Factor radio button in the Properties notebook, the y values from the absolute scaling are divided by the random value.



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