Table 1 Performance comparison for different classifiers.
From: A random forest model based classification scheme for neonatal amplitude-integrated EEG
Method | Correct Rate | Sensitivity | Specificity | F 1-score |
|---|---|---|---|---|
RF | 92.52% | 93.78% | 87.50% | 95.26% |
SVM RBF | 89.67% | 91.56% | 82.14% | 93.52% |
SVM Linear | 86.12% | 89.19% | 74.58% | 91.03% |
ANN | 91.10% | 92.00% | 87.50% | 94.31% |
DT | 87.90% | 85.83% | 61.76% | 71.84% |
LR | 85.40% | 88.31% | 68.29% | 77.03% |
ML | 75.44% | 78.67% | 62.50% | 83.69% |
LDA | 72.95% | 73.33% | 71.43% | 81.28% |