Fig. 1From: High dimensional model representation of log-likelihood ratio: binary classification with expression dataAn example of different cases that might occur for two Gaussian features in a binary classification problem, where the two classes are denoted by red and green: (a) independent and equal variances, (b) independent and unequal variances, (c) correlated and equal covariances with degenerate means, (d) correlated and equal covariances with generic means, (e) correlated, unequal covariances, and unequal mean vectors, and (f) correlated, unequal covariances, and equal means vectorsBack to article page