Fig. 6From: Studies in differentiating psoriasis from other dermatoses using small data set and transfer learning95% confidence intervals of accuracy for tested classifiers. The classifiers, indexed 1–10 are arranged as follows: SVM, RBF, \(\gamma =\) “scale”, C = 15; SVM, RBF, \(\gamma =10^{-7},\) C = 10; SVM, RBF, \(\gamma =10^{-7},\) C = 15; SVM, RBF, \(\gamma =10^{-7},\) C = 20; SVM, polynomial of deg = 2; SVM, polynomial of deg = 3; DT, min−samples−leaf = 2; DT, min−samples−leaf = 3; RF, n−estimators = 100; RF, n−estimators = 200. The extra parameters of the DT are: criterion = “gini”, random−state = 42, and max−depth=3Back to article page