Research Article
Cervical Cancer Diagnosis Model Using Extreme Gradient Boosting and Bioinspired Firefly Optimization
Table 9
Performance of ensemble classifiers using 30 and selected feature for Biopsy target.
| Features | Model | Accuracy | Sensitivity | Specificity | PPA | NPA |
| 30 | RF | 96.68 | 95.45 | 97.32 | 97.88 | 95.53 | AB | 93.57 | 93.99 | 93.17 | 92.8 | 94.31 | XGB | 97.1 | 95.49 | 97.52 | 97.46 | 95.53 |
| Selected | RF | 96.27 | 95.8 | 96.72 | 96.61 | 95.93 | AB | 89.21 | 88.02 | 90.42 | 90.25 | 88.21 | XGB | 96.68 | 95.83 | 98.74 | 98.73 | 95.93 |
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