Research Article
[Retracted] Performance Analysis of Deep Learning Models for Binary Classification of Cancer Gene Expression Data
Table 9
Performance of 2DCNN on different datasets.
| Dataset | TPR (%) | FPR (%) | Precision (%) | F1-score | Accuracy (%) |
| Colon (ANOVA) | 87 | 40 | 78 | 0.82 | 77 | Colon (IG) | 100 | 60 | 73 | 0.84 | 77 | Pancreas (ANOVA) | 100 | 75 | 70 | 0.82 | 73 | Pancreas (IG) | 100 | 50 | 78 | 0.87 | 82 | Breast (ANOVA) | 100 | 25 | 67 | 0.8 | 83 | Breast (IG) | 100 | 17 | 75 | 0.86 | 89 | Lung (ANOVA) | 100 | 20 | 86 | 0.93 | 90 | Lung (IG) | 100 | 29 | 71 | 0.82 | 77 |
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