This data set contains clinical and histopathological information from 366 cases of 6 different skin disorders/diseases for the purpous of differential diagnosis of eryhemato-squamous disease.
A list with entries $x (a 366x34 matrix with each row corresponding to an individual case) and $c (a vector of labels indicating the skin condition).
UCI Machine Learning Repository.
Lichman, M. (2013) UCI Machine Learning Repository. Irvine, CA: University of California, School of Information and Computer Science. https://archive.ics.uci.edu/ml
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