Table 5.
Predictive model performance for p53 in the internal and external test.
| Models | Features/classification | Test | Accuracy | 95% CI | AUC | 95% CI | Sensitivity | 95% CI | Specificity | 95% CI |
|---|---|---|---|---|---|---|---|---|---|---|
| Radiomics | Lasso+RandomForest | Internal test | 0.731 | 0.649 - 0.81 | 0.729 | 0.642 0.815 | 0.743 | 0.618 - 0.84 | 0.715 | 0.585 - 0.842 |
| External test | 0.631 | 0.54 - 0.73 | 0.614 | 0.516 - 0.71 | 0.506 | 0.355 - 0.666 | 0.722 | 0.599 - 0.828 | ||
| Lasso+LDA | Internal test | 0.731 | 0.65 - 0.82 | 0.728 | 0.644 - 0.811 | 0.744 | 0.627 - 0.854 | 0.713 | 0.584 - 0.837 | |
| External test | 0.636 | 0.55 - 0.74 | 0.619 | 0.527 - 0.717 | 0.516 | 0.357 - 0.681 | 0.721 | 0.599 - 0.839 | ||
| LinearSVC+RandomForest | Internal test | 0.71 | 0.62 - 0.8 | 0.719 | 0.635 - 0.803 | 0.653 | 0.534 - 0.769 | 0.786 | 0.666 - 0.895 | |
| External test | 0.657 | 0.57 - 0.75 | 0.637 | 0.547 - 0.726 | 0.515 | 0.365 - 0.657 | 0.759 | 0.655 - 0.866 | ||
| LinearSVC+LDA | Internal test | 0.71 | 0.62 - 0.8 | 0.719 | 0.63 - 0.806 | 0.654 | 0.523 - 0.775 | 0.783 | 0.653 - 0.894 | |
| External test | 0.657 | 0.56 - 0.74 | 0.636 | 0.542 - 0.733 | 0.509 | 0.361 - 0.666 | 0.763 | 0.655 - 0.866 | ||
| ExtraTree+RandomForest | Internal test | 0.659 | 0.56 - 0.75 | 0.656 | 0.559 - 0.751 | 0.674 | 0.546 - 0.792 | 0.639 | 0.499 - 0.772 | |
| External test | 0.733 | 0.64 - 0.82 | 0.692 | 0.611 - 0.777 | 0.437 | 0.292 - 0.589 | 0.946 | 0.88 - 1 | ||
| ExtraTree+LDA | Internal test | 0.657 | 0.56 - 0.75 | 0.655 | 0.556 - 0.743 | 0.672 | 0.538 - 0.793 | 0.638 | 0.477 - 0.777 | |
| External test | 0.73 | 0.64 - 0.82 | 0.69 | 0.612 - 0.773 | 0.435 | 0.285 - 0.593 | 0.944 | 0.883 - 1 | ||
| Clinics+ Radiomics |
Lasso+RandomForest | Internal test | 0.857 | 0.79 - 0.92 | 0.858 | 0.786 - 0.921 | 0.877 | 0.759 - 0.944 | 0.894 | 0.755 - 0.95 |
| External test | 0.731 | 0.64 - 0.81 | 0.7 | 0.615 - 0.767 | 0.436 | 0.294 - 0.581 | 0.944 | 0.872 - 1 | ||
| Lasso+LDA | Internal test | 0.854 | 0.789 - 0.92 | 0.856 | 0.782 - 0.924 | 0.851 | 0.758 - 0.947 | 0.855 | 0.736 - 0.954 | |
| External test | 0.719 | 0.64 - 0.8 | 0.683 | 0.603 - 0.767 | 0.458 | 0.314 - 0.6 | 0.908 | 0.823 - 0.967 | ||
| LinearSVC+RandomForest | Internal test | 0.794 | 0.71 - 0.87 | 0.793 | 0.704 - 0.869 | 0.8 | 0.689 - 0.896 | 0.787 | 0.644 - 0.902 | |
| External test | 0.71 | 0.62 - 0.8 | 0.683 | 0.593 - 0.767 | 0.516 | 0.355 - 0.666 | 0.85 | 0.75 - 0.938 | ||
| LinearSVC+LDA | Internal test | 0.793 | 0.72 - 0.88 | 0.792 | 0.712 - 0.871 | 0.8 | 0.685 - 0.91 | 0.784 | 0.655 - 0.9 | |
| External test | 0.707 | 0.619 - 0.8 | 0.678 | 0.585 - 0.77 | 0.506 | 0.349 - 0.659 | 0.85 | 0.759 - 0.933 | ||
| ExtraTree+RandomForest | Internal test | 0.782 | 0.7 - 0.87 | 0.782 | 0.693 - 0.869 | 0.779 | 0.666 - 0.883 | 0.784 | 0.651 - 0.913 | |
| External test | 0.718 | 0.63 - 0.8 | 0.684 | 0.601 - 0.763 | 0.462 | 0.319 - 0.609 | 0.905 | 0.83 - 0.98 | ||
| ExtraTree+LDA | Internal test | 0.786 | 0.7 - 0.87 | 0.785 | 0.7 - 0.871 | 0.784 | 0.677 - 0.889 | 0.788 | 0.659 - 0.9 | |
| External test | 0.73 | 0.65 - 0.81 | 0.689 | 0.609 - 0.767 | 0.433 | 0.289 - 0.575 | 0.945 | 0.875 - 1 |