- sklift.metrics.metrics.uplift_auc_score(y_true, uplift, treatment)
Compute normalized Area Under the Uplift Curve from prediction scores.
By computing the area under the Uplift curve, the curve information is summarized in one number. For binary outcomes the ratio of the actual uplift gains curve above the diagonal to that of the optimum Uplift Curve.
y_true (1d array-like) – Correct (true) binary target values.
uplift (1d array-like) – Predicted uplift, as returned by a model.
treatment (1d array-like) – Treatment labels.
Area Under the Uplift Curve.
- Return type