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. Author manuscript; available in PMC: 2015 Jul 6.
Published in final edited form as: Mach Learn Knowl Discov Databases. 2013;8190:595–611. doi: 10.1007/978-3-642-40994-3_38

Fig. 1.

Fig. 1

Uplift curves for the ILP-based methods (Differential Prediction Search (DPS) and Model Filtering (MF), both with minpos = 13 [20]), a baseline random classifier, and SAYL with cross-validated paramters. Uplift curves start at 0 and end at 22, the difference between older (132) and younger (110) total in situ cases. The higher the curve, the better the uplift.