Table 5 Performance of different machine learning classifiers on the independent test set using the three key predictors (Maximum height, neck inflow rate, and Non-sphericity Index). Shown are the values for accuracy, precision, sensitivity, specificity, and F1-score.
Classifier | Accuracy | Precision | Sensitivity | Specificity | F1-score |
|---|---|---|---|---|---|
AdaBoost classifier | 0.631 | 0.339 | 0.359 | 0.359 | 0.347 |
Support vector machine | 0.752 | 0.556 | 0.154 | 0.154 | 0.229 |
K-nearest neighbors | 0.702 | 0.398 | 0.231 | 0.231 | 0.287 |
Stochastic gradient descent | 0.695 | 0.265 | 0.205 | 0.205 | 0.224 |