| LR | SLR (λ = 0.53) | SVM | SSVM (λ = 0.55) |
---|
Test set | Training set | Test set | Test set | Test set |
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Accuracy | 0.688 | 0.861 (0.032) | 0.794 | 0.777 | 0.679 |
Sensitivity | 0.718 | 0.809 (0.051) | 0.803 | 0.775 | 0.662 |
Specificity | 0.634 | 0.898 (0.019) | 0.780 | 0.780 | 0.707 |
AUC | 0.644 | 0.883 (0.043) | 0.795 | 0.836 | 0.685 |
- LR: We applied the trained model in training set to the test set (Test set). SLR: We did cross validation within the training set (Training set), and applied the trained model to the test set (Test set). SVM: We applied the trained model in training set to the test set (Test set). SSVM: We did cross validation within the training set, and applied the trained model to the test set (Test set)
- AUC Area under the receiver operating characteristic curve; CHB Chronic hepatitis B; HCC Hepatocellular carcinoma; LR Logistic regression; SLR Sparse logistic regression; SVM Support vector machine; SSVM Sparse support vector machine