Table 3.
Tabulated content of metastasis with relevant classifier algorithm and corresponding AUC with Kappa values.
| Output | Features | Model | Metric | AUC | Kappa |
|---|---|---|---|---|---|
| Metastasis | Radiomics | svmLinearWeights (Linear Support Vector Machines with Class Weights) |
Kappa + AUC | 0.76 | 0.5 |
| Radiomics + ADC1 + ADC2 + Change ADC | pcaNNet (Neural Networks with Feature Extraction) |
Kappa + AUC | 0.84 | 0.65 | |
| Radiomics + ADC1 | pcaNNet (Neural Networks with Feature Extraction) |
Kappa + AUC | 0.79 | 0.59 | |
| Radiomics + change ADC | pcaNNet (Neural Networks with Feature Extraction) |
Kappa + AUC | 0.73 | 0.46 | |
| ADC | Rocc (ROC-Based Classifier) |
Kappa | 0.63 | 0.3 | |
| ADC | svmLinearWeights (Linear Support Vector Machines with Class Weights) |
AUC | 0.67 | 0.27 |