Research Article
Study of Chinese Shadow Mapping Classification with the Application of Deep Learning Algorithms
Table 1
Result analysis of AIMGWO-CSPC technique with different runs.
| No. of runs | Precision | Recall | Accuracy | F-score | Kappa |
| Run-1 | 93.11 | 93.60 | 93.22 | 93.71 | 94.27 | Run-2 | 95.13 | 93.26 | 94.99 | 94.33 | 94.47 | Run-3 | 94.22 | 95.68 | 95.31 | 94.56 | 93.65 | Run-4 | 96.08 | 97.29 | 96.75 | 95.67 | 95.08 | Run-5 | 95.12 | 96.53 | 95.31 | 95.23 | 93.78 | Average | 94.73 | 95.27 | 95.12 | 94.70 | 94.25 |
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