Table 5.
Confusion matrix following an information gain + LMT classification combination using DTI maps only.
| Diffusion Tensor Imaging Features (MD, FA, RD, AD Features) | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Class | TP Rate | FP Rate | Precision | Recall | F-Measure | MCC | ROC Area | Confusion Matrix | Accuracy | ||
| HC | PD | PSP-RS | |||||||||
| HC | 1.000 | 0.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 38 | 0 | 0 | 95.1% |
| PD | 0.933 | 0.034 | 0.955 | 0.933 | 0.944 | 0.901 | 0.975 | 0 | 42 | 3 | |
| PSP-RS | 0.900 | 0.036 | 0.857 | 0.900 | 0.878 | 0.848 | 0.968 | 0 | 2 | 18 | |
TP, True Positive; FP, False Positive; MCC, Matthews Correlation Coefficient; ROC AUC, Area under the receiver operating characteristic curve; HC, Healthy Controls; PD, Parkinson's disease; PSP-RS, Progressive supranuclear palsy Richardson's syndrome; MD, Mean diffusivity; FA, Fractional anisotropy; RD, Radial diffusivity; AD, Axial diffusivity.