What types of data do we collect?

System programmatically collects and computes the following evidence from each source of evidence:

How System determines “strength”

Strength is an algorithm-agnostic measure of the magnitude of the effect implied by an association. System's methodology differs based on the type of the association.

For correlation-style associations (such as Pearson's R, or Kendall's Tau) we use commonly accepted community guidelines to bucket those associations into one of the five following categories:

For associations derived from predictive models, we use the evidence already on System to bin the value of a feature’s importance into one of the above buckets. The feature importance value (e.g. permutation score) combined with the performance of the model that the association was derived from (e.g. F1 score) is compared with similar associations on System.


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