Comparison among accuracy of the classification models based on three different types of machine learning
| Surrounding rock class | Identification results of SVM-based classification model | Identification results of RBF-based classification model | Prediction set identification results BP-based classification model | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Actual number of samples | Number of samples correctly identified by the model | Accuracy/% | Actual number of samples | Number of samples correctly identified by the model | Accuracy/% | Actual number of samples | Number of samples correctly identified by the model | Accuracy/% | |
| III | 9 | 8 | 88.9 | 9 | 6 | 66.7 | 9 | 8 | 88.9 |
| IV | 3 | 3 | 100.0 | 3 | 2 | 66.7 | 3 | 2 | 66.7 |
| V | 2 | 2 | 100.0 | 2 | 1 | 50.0 | 2 | 1 | 50.1 |
| Surrounding rock class | Identification results of SVM-based classification model | Identification results of RBF-based classification model | Prediction set identification results BP-based classification model | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Actual number of samples | Number of samples correctly identified by the model | Accuracy/% | Actual number of samples | Number of samples correctly identified by the model | Accuracy/% | Actual number of samples | Number of samples correctly identified by the model | Accuracy/% | |
| III | 9 | 8 | 88.9 | 9 | 6 | 66.7 | 9 | 8 | 88.9 |
| IV | 3 | 3 | 100.0 | 3 | 2 | 66.7 | 3 | 2 | 66.7 |
| V | 2 | 2 | 100.0 | 2 | 1 | 50.0 | 2 | 1 | 50.1 |