sklift.metrics.metrics.perfect_uplift_curve(y_true, treatment)[source]

Compute the perfect (optimum) Uplift curve.

This is a function, given points on a curve. For computing the area under the Uplift Curve, see uplift_auc_score().

  • y_true (1d array-like) – Correct (true) binary target values.

  • treatment (1d array-like) – Treatment labels.


Points on a curve.

Return type

array (shape = [>2]), array (shape = [>2])

See also

uplift_curve(): Compute the area under the Qini curve.

uplift_auc_score(): Compute normalized Area Under the Uplift curve from prediction scores.

plot_uplift_curve(): Plot Uplift curves from predictions.