Table 4 Confusion matrix of classification results by SAFN model.
From: Automated rock mass condition assessment during TBM tunnel excavation using deep learning
Rock structure type | GP | CS | MFS | AS | SM | TB | CB | ASL | BL |
|---|---|---|---|---|---|---|---|---|---|
Granite porphyry (GP) | 95.77% | 0.84% | 1.27% | 0.42% | 0.12% | 0.07% | 0.10% | 0.47% | 0.94% |
Conglomeratic sandstone (CS) | 0.76% | 91.80% | 3.58% | 1.04% | 1.28% | 0.26% | 0.18% | 1.08% | 0.02% |
Medium fine sandstone (MFS) | 0.82% | 3.08% | 90.05% | 3.17% | 1.19% | 0.05% | 0.11% | 1.21% | 0.32% |
Argillaceous siltstone (AS) | 0.47% | 1.95% | 2.56% | 92.42% | 1.24% | 0.45% | 0.66% | 0.14% | 0.11% |
Silty mudstone (SM) | 0 | 0.95% | 1.04% | 3.06% | 94.72% | 0.02% | 0 | 0 | 0.21% |
Tectonic breccia (TB) | 1.34% | 0.42% | 0.26% | 0.81% | 0.31% | 91.29% | 3.41% | 0 | 2.16% |
Cryptoexplosive breccia (CB) | 0.73% | 0.04% | 0.14% | 0.05% | 0.03% | 4.82% | 93.18% | 0 | 1.01% |
Argillaceous silty limestone (ASL) | 0.08% | 1.05% | 1.84% | 0.32% | 1.21% | 0.13% | 0.08% | 91.05% | 4.24% |
Bioclastic limestone (BL) | 1.37% | 0.24% | 0.32% | 0.13% | 0.59% | 1.04% | 1.56% | 2.63% | 92.12% |
