Table 2 The predictive performance of the naïve Bayesian inference program, achieved when implementing a Gaussian likelihood function of a.) the observed structural characteristics alone, b.) when implementing the observed protein family frequencies alone as likelihoods and c.) when combining the observed protein family frequencies with the Gaussian likelihood functions of observed structural characteristics.
From: Bayesian prediction of bacterial growth temperature range based on genome sequences
Class | Test set | |
|---|---|---|
a. Structural features | MCC | % Correct predictions |
Thermophiles | 0.24 | 80.0 |
Mesophiles | 0.36 | 50.0 |
Psychrophiles | 0.47 | 25.0 |
b. Protein families | MCC | % Correct predictions |
Thermophiles | 0.60 | 92.9 |
Mesophiles | 0.13 | 28.6 |
Psychrophiles | 0.51 | 50.0 |
c. Combined | MCC | % Correct predictions |
Thermophiles | 0.67 | 92.0 |
Mesophiles | 0.40 | 57.1 |
Psychrophiles | 0.68 | 50.0 |