Table 1. Machine learning-based classification summary.
| SVM Classification | |||||||
|---|---|---|---|---|---|---|---|
| Predicted Class (% Correct) | TPR | FPR | |||||
| Time Points | Time 0 | 30 min | 60 min | 120 min | |||
| True Class | time 0 | 75% | 25% | 0% | 0% | 75% | 25% |
| 30 min | 23% | 77% | 0% | 0% | 77% | 23% | |
| 60 min | 0% | 0% | 97% | 3% | 97% | 3% | |
| 120 min | 0% | 0% | 4% | 96% | 96% | 4% | |
| PCA and SVM Classification | |||||||
| Predicted Class (% Correct) | TPR | FPR | |||||
| Time Points | Time 0 | 30 min | 60 min | 120 min | |||
| True Class | time 0 | 70% | 30% | 0% | 0% | 70% | 30% |
| 30 min | 28% | 72% | 0% | 0% | 72% | 28% | |
| 60 min | 0% | 0% | 92% | 8% | 92% | 8% | |
| 120 min | 0% | 0% | 7% | 93% | 93% | 7% | |
Abbreviations: TPR—true positive rate; FPR—false positive rate.