The classification metrics of our model on the test set with different prediction thresholds. A threshold of 0.90 was chosen, which gave the highest overall accuracy.
| Threshold . | 0.90 . | 0.80 . | 0.65 . | 0.30 . |
|---|---|---|---|---|
| Accuracy | 0.959 | 0.957 | 0.949 | 0.920 |
| Precision | 0.969 | 0.958 | 0.935 | 0.880 |
| Recall | 0.949 | 0.956 | 0.965 | 0.972 |
| F1 score | 0.959 | 0.957 | 0.950 | 0.924 |
| Threshold . | 0.90 . | 0.80 . | 0.65 . | 0.30 . |
|---|---|---|---|---|
| Accuracy | 0.959 | 0.957 | 0.949 | 0.920 |
| Precision | 0.969 | 0.958 | 0.935 | 0.880 |
| Recall | 0.949 | 0.956 | 0.965 | 0.972 |
| F1 score | 0.959 | 0.957 | 0.950 | 0.924 |
The classification metrics of our model on the test set with different prediction thresholds. A threshold of 0.90 was chosen, which gave the highest overall accuracy.
| Threshold . | 0.90 . | 0.80 . | 0.65 . | 0.30 . |
|---|---|---|---|---|
| Accuracy | 0.959 | 0.957 | 0.949 | 0.920 |
| Precision | 0.969 | 0.958 | 0.935 | 0.880 |
| Recall | 0.949 | 0.956 | 0.965 | 0.972 |
| F1 score | 0.959 | 0.957 | 0.950 | 0.924 |
| Threshold . | 0.90 . | 0.80 . | 0.65 . | 0.30 . |
|---|---|---|---|---|
| Accuracy | 0.959 | 0.957 | 0.949 | 0.920 |
| Precision | 0.969 | 0.958 | 0.935 | 0.880 |
| Recall | 0.949 | 0.956 | 0.965 | 0.972 |
| F1 score | 0.959 | 0.957 | 0.950 | 0.924 |
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