Table 3 Values of performance evaluation indicators of twelve models.
From: Classification of coal bursting liability of some chinese coals using machine learning methods
No. | Model | Accuracy (%) | F1-score | Kappa coefficient |
|---|---|---|---|---|
1# | BPNN | 85.83 | 0.6885 | 0.7279 |
2# | SCG-BPNN | 86.61 | 0.7830 | 0.7456 |
3# | CGF-BPNN | 87.40 | 0.7882 | 0.7610 |
4# | CGP-BPNN | 93.70 | 0.8720 | 0.8454 |
5# | GDM-BPNN | 81.89 | 0.7220 | 0.6485 |
6# | GDA-BPNN | 96.06 | 0.8787 | 0.9256 |
7# | GDX-BPNN | 94.19 | 0.8680 | 0.8913 |
8# | RP-BPNN | 88.98 | 0.7641 | 0.7899 |
9# | LM-BPNN | 96.85 | 0.9113 | 0.9417 |
10# | BFG-BPNN | 85.36 | 0.8217 | 0.7122 |
11# | LSVM | 93.70 | 0.8648 | 0.8816 |
12# | APSO-SVM | 90.55 | 0.7639 | 0.7279 |
