Table 2 Confusion matrix showing number of correct and incorrect classifications per city from random forest analysis
From: Application of machine learning techniques for creating urban microbial fingerprints
| Â | Auckland | Hamilton | NY | Ofa | Porto | Sacramento | Santiago | Tokyo | class.error |
|---|---|---|---|---|---|---|---|---|---|
Auckland | 9 | 5 | 0 | 0 | 1 | 0 | 0 | 0 | 0.4 |
Hamilton | 4 | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0.25 |
NY | 0 | 0 | 124 | 1 | 0 | 1 | 0 | 0 | 0.01587302 |
Ofa | 0 | 0 | 0 | 20 | 0 | 0 | 0 | 0 | 0 |
Porto | 0 | 0 | 0 | 0 | 60 | 0 | 0 | 0 | 0 |
Sacramento | 0 | 0 | 0 | 0 | 1 | 33 | 0 | 0 | 0.02941176 |
Santiago | 1 | 0 | 1 | 0 | 0 | 0 | 18 | 0 | 0.1 |
Tokyo | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 |