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The error matrix to evaluate the predictive accuracy of the model.
| Validation Data Set | |||
| WNV positive | WNV negative | ||
| P-values based on Mahalanobis Distance statistics | More than 0.5 | a (24) | b (35) |
| Less than 0.5 | c (7) | d (20) | |
Note: The components a, b, c and d, stand for frequencies of cases which were/were not predicted by the model and were present/absent in the validation data set.
