On the Criteo Uplift v2.1 dataset the S-Learner achieves a Qini score of 0.376, with the top 20% of customers by predicted CATE capturing 77.7% of incremental conversions.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.CO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A Large-Scale Empirical Comparison of Meta-Learners and Causal Forests for Heterogeneous Treatment Effect Estimation in Marketing Uplift Modeling
On the Criteo Uplift v2.1 dataset the S-Learner achieves a Qini score of 0.376, with the top 20% of customers by predicted CATE capturing 77.7% of incremental conversions.