Research Article
[Retracted] Performance Analysis of Deep Learning Models for Binary Classification of Cancer Gene Expression Data
Table 6
Epoch and learning rate setting for MLP, 1DCNN, and 2DCNN.
| Model | Dataset | Learning rate | Epoch |
| MLP | Colon (ANOVA) | 0.000 1 | 100 | Colon (IG) | 0.000 15 | 100 | Pancreatic (ANOVA) | 0.000 15 | 100 | Pancreatic (IG) | 0.000 1 | 100 | Breast (ANOVA) | 0.001 | 50 | Breast (IG) | 0.000 01 | 50 | Lung (ANOVA) | 0.000 1 | 100 | Lung (IG) | 0.001 | 200 |
| 1DCNN | Colon (ANOVA) | 0.000 01 | 100 | Colon (IG) | 0.001 | 100 | Pancreatic (ANOVA) | 0.000 1 | 50 | Pancreatic (IG) | 0.001 | 100 | Breast (ANOVA) | 0.000 1 | 50 | Breast (IG) | 0.000 01 | 100 | Lung (ANOVA) | 0.000 01 | 50 | Lung (IG) | 0.001 | 100 |
| 2DCNN | Colon (ANOVA) | 0.001 | 100 | Colon (IG) | 0.000 01 | 200 | Pancreatic (ANOVA) | 0.000 01 | 100 | Pancreatic (IG) | 0.000 1 | 200 | Breast (ANOVA) | 0.000 15 | 100 | Breast (IG) | 0.001 | 100 | Lung (ANOVA) | 0.000 01 | 100 | Lung (IG) | 0.000 01 | 100 |
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