Table 2.
Percentage of correct decisions for the healthy structure and the structure with Damages 1, 2 and 3, for the twenty different machine learning strategies (composite plate).
| Machine Name | Healthy | Damage 1 | Damage 2 | Damage 3 |
|---|---|---|---|---|
| Medium Tree | 55.00% | 63.33% | 60.83% | 52.50% |
| Simple Tree | 40.00% | 60.00% | 63.33% | 42.50% |
| Complex Tree | 57.50% | 64.17% | 75.83% | 65.83% |
| Linear SVM | 41.67% | 59.17% | 45.00% | 47.50% |
| Quadratic SVM | 65.83% | 73.33% | 85.00% | 75.50% |
| Cubic SVM | 70.83% | 75.00% | 86.67% | 74.17% |
| Fine Gaussian SVM | 59.17% | 64.17% | 83.33% | 78.33% |
| Medium Gaussian SVM | 55.83% | 60.00% | 82.50% | 63.33% |
| Coarse Gaussian SVM | 52.50% | 10.83% | 33.33% | 56.67% |
| Fine k-NN | 63.33% | 61.67% | 80.00% | 70.00% |
| Medium k-NN | 65.00% | 46.67% | 75.00% | 63.33% |
| Coarse k-NN | 52.50% | 37.50% | 60.83% | 35.83% |
| Cosine k-NN | 65.00% | 43.33% | 79.17% | 60.83% |
| Cubic k-NN | 59.17% | 47.50% | 72.50% | 60.00% |
| Weighted k-NN | 61.67% | 58.33% | 83.33% | 74.17% |
| Boosted Trees | 16.67% | 62.50% | 60.83% | 71.67% |
| Bagged Trees | 71.67% | 72.50% | 90.00% | 84.17% |
| Subspace Discriminant | 33.33% | 45.83% | 45.00% | 55.83% |
| Subspace k-NN | 70.83% | 72.50% | 89.17% | 82.50% |
| Rusboosted Trees | 0.00% | 62.50% | 0.00% | 93.33% |