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The Lift Detail Dialog displays statistics for each quantile from 1 to 100. Click OK to dismiss the dialog.
Threshold probability does not always reflect standard probability. For example, the Classification Node allows you to specify three different Performance Settings:
Balanced: Apply Balance weighting to all target class values
Natural: Do not apply any weighting
Custom: Apply user- created custom weights file
The default for Classification models is Balanced.
Balanced is implemented by passing weights or costs into the model, depending on the algorithm used.
The threshold probability actually reflects cost rather than standard probability.
To see the difference between Balanced and Natural, create a Classification model; select the Natural performance setting option; and then view the lift details.The threshold probability values are the greatest probabilities for each quantile.
Now select the Balanced option, In this case, the threshold reflects cost, so you see the lowest cost value for each quantile.