MCDS = Multimodal Classsification Dataset Simulator
To benchmark various classification machine learning algorithms, a "gold standard" is needed. MCS, is intended to simulate datasets with several features; initially the intent is a binary classification and with time it will extend to multiple lables.
Cohen's D is estimated as a measure of effect size; a standardized measure of difference between two populations.
An initial demonstration is available, see rbin/Main.R