Research Article
[Retracted] Hybrid Rider Optimization with Deep Learning Driven Biomedical Liver Cancer Detection and Classification
Table 3
Comparative analysis of HRO-DLBLCC technique with existing algorithms.
| Methods | Accuracy | Precision | Recall | F-score |
| Naïve Bayes | 91.41 | 93.32 | 89.49 | 89.50 | MLP algorithm | 91.93 | 92.76 | 89.63 | 91.17 | SVM algorithm | 95.77 | 95.12 | 93.71 | 91.17 | KNN algorithm | 93.79 | 95.65 | 92.49 | 89.68 | AdaBoost | 90.96 | 92.08 | 87.99 | 89.72 | J48 algorithm | 96.43 | 97.04 | 95.30 | 94.09 | Random forest | 95.24 | 94.97 | 94.47 | 95.57 | HRO-DLBLCC | 99.11 | 98.64 | 98.69 | 98.66 |
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