Table 1.
Modeled classa | Sensitivity (CVb) | Specificity (CV) | Class error (CV) | RMSECVc |
---|---|---|---|---|
M. gallisepticum | 0.944 | 0.951 | 0.053 | 0.246 |
M. gallinaceum | 0.933 | 0.992 | 0.038 | 0.201 |
A. laidlawii | 0.933 | 0.950 | 0.058 | 0.236 |
M. synoviae | 0.933 | 0.800 | 0.133 | 0.287 |
M. gallinarum | 1.000 | 1.000 | 0 | 0.033 |
Methanol | 1.000 | 0.930 | 0.035 | 0.238 |
Six latent variables (n = 135), accounting for 77% of the captured x variance, were used to generate the model.
CV, cross validation by Venetian Blinds with 10% of the data.
RMSECV, root mean squared error in cross validation.