Measure to compare two or more sets w.r.t. their similarity. It is defined as the Pearson correlation between the binary representation of two sets \(A\) and \(B\). The binary representation for \(A\) is a logical vector of length \(p\) with the i-th element being 1 if the corresponding element is in \(A\), and 0 otherwise.
If more than two sets are provided, the mean of all pairwise scores is calculated.
This Measure can be instantiated via the dictionary mlr_measures or with the associated sugar function msr():
mlr_measures$get("sim.phi")
msr("sim.phi")
Type: "similarity"
Range: \([-1, 1]\)
Minimize: FALSE
This measure is undefined if one set contains none or all possible elements.
Dictionary of Measures: mlr_measures
as.data.table(mlr_measures) for a complete table of all (also dynamically created) Measure implementations.
Other similarity measures:
mlr_measures_sim.jaccard