Table 2.
Performance metrics for predicting metastatic and Non-Metastatic esophageal cancer using various algorithms on test set and external dataset
| Algorithms | Precision | Recall | F1-Score | ACC | AUC | |||
|---|---|---|---|---|---|---|---|---|
| Meta | Non-Meta | Meta | Non-Meta | Meta | Non-Meta | |||
| SVC | 0.71 | 0.50 | 0.67 | 0.56 | 0.69 | 0.53 | 0.62 | 0.63 |
| LR | 0.79 | 0.60 | 0.73 | 0.67 | 0.76 | 0.63 | 0.71 | 0.83 |
| DT | 0.75 | 0.44 | 0.40 | 0.78 | 0.52 | 0.56 | 0.54 | 0.49 |
| AdaBoost | 0.69 | 045 | 0.60 | 0.56 | 0.64 | 0.50 | 0.65 | 0.58 |
| RFC | 0.85 | 0.64 | 0.73 | 0.78 | 0.79 | 0.70 | 0.75 | 0.75 |
| KNN | 0.88 | 1 | 1 | 0.78 | 0.94 | 0.88 | 0.92 | 0.92 |
|
KNN (External Test set) |
0.82 | 0.89 | 0.90 | 0.80 | 0.86 | 0.84 | 0.85 | 0.84 |