Table 5 Quantitative analysis of CNN model Metrics.
S.No | Metrics | Interpretation | Quantitative metrics of CNN |
|---|---|---|---|
1. | Test Accuracy | The percentage of correctly predicted samples out of all samples. | 98.5 |
2. | Validation Accuracy | The percentage of correctly predicted positive samples out of all predicted positives. | 97 |
3. | Test Loss | The model predictions are from the actual label | 0.87 |
4. | Validation loss | The error of a model on unseen data | 0.97 |
5. | Precision | The percentage of correctly predicted one. | 0.992 |
6. | Recall | The percentage of correctly predicted positives out of all actual positives. | 87.6 |
7. | F1 score | The harmonic mean of precision and recall | 97 |
8. | Total accuracy | The overall percentage of the predicted values | 98.5 |
