Table 9.
Confusion matrix for the classifier using information coming from all 26 locations.
| Location | 0,0 | 0,1 | 0,2 | 1,0 | 1,1 | 1,2 | 1,3 | 2,0 | 2,1 |
|---|---|---|---|---|---|---|---|---|---|
| F1-score | 0.93 | 1.00 | 0.91 | 0.95 | 0.87 | 0.71 | 0.92 | 0.84 | 0.91 |
| Precision | 0.87 | 1.00 | 0.83 | 0.97 | 0.81 | 0.96 | 0.86 | 0.85 | 0.99 |
| Recall | 0.99 | 1.00 | 1.00 | 0.93 | 0.95 | 0.56 | 0.99 | 0.83 | 0.85 |
| Location | 2,2 | 2,3 | 3,0 | 3,1 | 3,2 | 4,0 | 4,1 | 4,2 | 5,0 |
| F1-score | 0.97 | 0.98 | 0.96 | 0.96 | 1.00 | 1.00 | 0.97 | 0.90 | 0.99 |
| Precision | 1.00 | 1.00 | 0.93 | 0.98 | 1.00 | 1.00 | 0.98 | 0.92 | 1.00 |
| Recall | 0.95 | 0.96 | 1.00 | 0.93 | 1.00 | 1.00 | 0.97 | 0.88 | 0.98 |
| Location | 5,1 | 5,2 | 6,0 | 6,1 | 6,2 | 7,0 | 7,1 | 7,2 | |
| F1-score | 0.86 | 0.89 | 0.96 | 0.76 | 0.62 | 0.92 | 0.95 | 0.99 | |
| Precision | 0.85 | 0.87 | 0.95 | 0.62 | 1.00 | 0.93 | 0.94 | 1.00 | |
| Recall | 0.86 | 0.91 | 0.98 | 0.97 | 0.45 | 0.90 | 0.96 | 0.99 |