no code implementations • 9 Jan 2021 • Robin M. Gubela, Stefan Lessmann
Uplift models support a firm's decision-making by predicting the change of a customer's behavior due to a treatment.
no code implementations • 20 Nov 2019 • Robin M. Gubela, Stefan Lessmann, Szymon Jaroszewicz
The proposed methodology entails a transformation of the prediction target, customer-level revenues, that facilitates implementing a causal uplift model using standard machine learning algorithms.
1 code implementation • 1 Oct 2019 • Johannes Haupt, Daniel Jacob, Robin M. Gubela, Stefan Lessmann
To increase the cost-efficiency of experimentation and facilitate frequent data collection and model training, we introduce supervised randomization.