Skip to main content
. 2012 Feb 3;7(2):e30126. doi: 10.1371/journal.pone.0030126

Table 2. Confusion matrices for classification of Twins data.

Predicted Random forests Dirichlet multinomial
Actual Lean Obese Lean Obese
Lean 19 42 33 28
Obese 5 188 29 164

The two rows give the number of ‘Lean’ and ‘Obese’ individuals predicted to be ‘Lean’ and ‘Obese’ by the random forests and Dirichlet multinomial classifiers following leave-one-out validation. A classification threshold of 0.5 was used for both algorithms.