Prediction Performance
The PFI score is a method to evaluate the significance each individual input variable has on the overall model. The results are displayed in Table 3. The most important features are displayed in ascending order along with their corresponding importance score. In the creation of the clinical prediction model, the most important variable was patient clinical T- classification. This was closely followed by several other tumor descriptors including primary site of the cancer, clinical N- classification, grade. The results also indicate that facility type and facility ID were important variables in the creation of the model.