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Developer-friendly predictive modeling framework
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README.md

emil: Evaluation of Modeling without Information Leakage

The emil package for R is a toolbox for designing and evaluating predictive models with resampling methods. The aim is to provide a simple and efficient general framework for working with any type of prediction problem, be it classification, regression or survival analysis, that is easy to extend and adapt to your specific setting. Some commonly used methods for classification, regression and survival analysis are included.

The project website is under development and a vignette will be added when the original publication about it is accepted for publication.

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