Research Article
[Retracted] Deep Learning Model for Automatic Classification and Prediction of Brain Tumor
Table 6
Training performance of all models with 16 batch size.
| Class | Epoch | Train loss | Valid loss | Error rate | Valid accuracy (%) |
| VGG16 | 5 | 0.083 | 0.371 | 0.08 | 92.13 | | | | | | 10 | 0.075 | 0.302 | 0.08 | 92.34 | 15 | 0.062 | 0.223 | 0.07 | 93.27 | 20 | 0.067 | 0.205 | 0.06 | 94.83 | 25 | 0.052 | 0.192 | 0.06 | 94.22 |
| VGG19 | 5 | 0.103 | 0.126 | 0.06 | 94.71 | 10 | 0.089 | 0.105 | 0.05 | 95.76 | 15 | 0.072 | 0.093 | 0.04 | 95.41 | 20 | 0.035 | 0.083 | 0.03 | 96.67 | 25 | 0.026 | 0.081 | 0.03 | 96.71 | 5 | 0.042 | 0.481 | 0.07 | 92.13 |
| DenseNet121 | 10 | 0.035 | 0.443 | 0.06 | 93.57 | 15 | 0.029 | 0.353 | 0.05 | 94.3 | 20 | 0.023 | 0.35 | 0.05 | 94.9 | 25 | 0.021 | 0.33 | 0.05 | 94.92 | 5 | 0.073 | 0.193 | 0.04 | 95.98 |
| DenseNet201 | 10 | 0.062 | 0.081 | 0.04 | 96.17 | 15 | 0.059 | 0.071 | 0.04 | 96.4 | 20 | 0.045 | 0.059 | 0.02 | 97.98 | 25 | 0.043 | 0.052 | 0.02 | 98.2 |
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