Algorithm 1. SVM model.
| Result: Prediction of delamination size |
| Input: Sensor features with ground truth |
| 1 clf = svr (mp, np) |
| 2 clf.fit (k = 'rbf', degree = 3, g = 'scale', tol = 0.001, C = 1.0, c_size = 200, m_it = −1) |
| Output: SVM Prediction model |
| Result: Prediction of delamination size |
| Input: Sensor features with ground truth |
| 1 clf = svr (mp, np) |
| 2 clf.fit (k = 'rbf', degree = 3, g = 'scale', tol = 0.001, C = 1.0, c_size = 200, m_it = −1) |
| Output: SVM Prediction model |