Database with cause-effect pairs This is a growing database with different data for testing causal detection algorithms. The goal here is to distinguish between cause and effect. We searched for data sets with known ground truth. However, we do not guarantee that all provided ground truths are correct. The datafiles are .txt-files and contain two variables, one is the cause and the other the effect. For every example there exists a description file where you can find the ground truth and how the data was derived.
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References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Prestwich, S. D.; Tarim, S. A.; Ozkan, I.: A new causal discovery heuristic (2018)
- Mooij, Joris M.; Peters, Jonas; Janzing, Dominik; Zscheischler, Jakob; Schölkopf, Bernhard: Distinguishing cause from effect using observational data: methods and benchmarks (2016)