Firstly, as previously discussed [11], results of benchmarking experiments should be considered as conditional on the set of included datasets. As demonstrated by our analyses on the influence of inclusion criteria for datasets, different sets of datasets yield different results. While the set of datasets considered in our study has the major advantages of being large and including datasets from various scientific fields, it is not strictly speaking representative of a “population of datasets”, hence essentially yielding conditional conclusions.
