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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.)