Table 4.

Tabulated content of stage with relevant classifier algorithm and corresponding AUC with Kappa values.

Output	Features	Model	Metric	AUC	Kappa
Stage	Radiomics	RRFglobal (Regularized Random Forest)	Kappa	0.51	0.31
	Radiomics	Knn (k-Nearest Neighbors)	AUC	0.71	0.25
	Radiomics + ADC1 + ADC2 + Change ADC	Earth (Multivariate Adaptive Regression Spline)	Kappa	0.64	0.3
	Radiomics + ADC1 + ADC2 + Change ADC	Knn (k-Nearest Neighbors)	AUC	0.71	0.25
	Radiomics + ADC1	Evtree (Tree Models from Genetic Algorithms)	Kappa	0.63	0.33
	Radiomics + ADC1	Knn (k-Nearest Neighbors)	AUC	0.71	0.25
	Radiomics + change ADC	Earth (Multivariate Adaptive Regression Spline)	Kappa	0.64	0.31
	Radiomics + change ADC	Knn (k-Nearest Neighbors)	AUC	0.71	0.25
	ADC	RRFglobal (Regularized Random Forest)	Kappa	0.57	0.19
	ADC	LogitBoost	AUC	0.66	0.06