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Table 4 Relationships between candidate classifiers

From: Win percentage: a novel measure for assessing the suitability of machine classifiers for biological problems

Covariance type Spherical Diagonal Full
Pooled Nearest centroid (NC, 5 d.f.) Diagonal linear discriminant analysis(DLDA, 6 d.f.) Linear discriminant analysis (LDA, 7 d.f.)
Unpooled Spherical discriminant analysis (SDA, 6 d.f.) Uncorrelated discriminant analysis (UDA, 8 d.f.) Quadratic discriminant analysis (QDA, 10 d.f.)