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Table F.20
[Test prediction] – Measures from confusion matrices.
| Measures per class | ||||||
|---|---|---|---|---|---|---|
| C1 | C2 | C3 | C4 | C5 | ||
| tree bagger | Accuracy | 99.76% | 99.29% | 99.19% | 99.41% | 99.76% |
| Precision | 99.71% | 98.40% | 98.04% | 98.61% | 99.48% | |
| Sensitivity | 98.38% | 99.02% | 98.46% | 98.49% | 99.03% | |
| Specificity | 99.96% | 99.39% | 99.41% | 99.65% | 99.90% | |
| F-score | 99.04% | 98.71% | 98.25% | 98.55% | 99.25% | |
| gentle boost | Accuracy | 99.41% | 97.76% | 96.59% | 97.67% | 99.44% |
| Precision | 99.22% | 97.20% | 92.88% | 91.83% | 97.93% | |
| Sensitivity | 96.20% | 94.55% | 92.24% | 97.16% | 98.66% | |
| Specificity | 99.89% | 98.97% | 97.89% | 97.81% | 99.59% | |
| F-score | 97.68% | 95.86% | 92.56% | 94.42% | 98.29% | |
| svm (linear) | Accuracy | 99.94% | 97.33% | 95.50% | 97.79% | 99.68% |
| Precision | 99.62% | 98.19% | 90.05% | 91.22% | 99.11% | |
| Sensitivity | 99.90% | 91.96% | 90.44% | 98.55% | 98.96% | |
| Specificity | 99.94% | 99.36% | 97.01% | 97.59% | 99.82% | |
| F-score | 99.76% | 94.97% | 90.24% | 94.74% | 99.03% | |
| svm (rbf) | Accuracy | 99.71% | 99.09% | 99.02% | 99.56% | 99.83% |
| Precision | 99.14% | 98.57% | 97.87% | 98.62% | 99.26% | |
| Sensitivity | 98.57% | 98.13% | 97.87% | 99.21% | 99.70% | |
| Specificity | 99.87% | 99.46% | 99.36% | 99.65% | 99.85% | |
| F-score | 98.86% | 98.34% | 97.87% | 98.92% | 99.48% | |
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