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Classification performances of the models on the LGG dataset.
| Classifiers | Sensitivity | Specificity | Accuracy |
|---|---|---|---|
| GA-RF | 0.780 | 0.620 | 0.750 |
| GA-XGB | 0.780 | 0.460 | 0.718 |
| GA-SVM | 0.840 | 0.23 | 0.718 |
| XGB-Fscore | 0.670 | 0.380 | 0.615 |
RF random forest, XGB XGBoost, SVM support vector machine, XGB-Fscore the F-score technique proposed by Le et al.
Model with the best performance is indicated in bold font.
