sklift.metrics.perfect_uplift_curve¶
-
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().- Parameters
y_true (1d array-like) – Correct (true) target values.
treatment (1d array-like) – Treatment labels.
- Returns
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.