Table 1.

Results for multicollinearity on the top 10 features using the variance inflation factor (VIF). A maximum VIF of 10 is chosen as the threshold and removing features with VIF greater than the threshold is said to reduce the multicollinearity. We see from table 1 that the features P_F269 and P_F289 have VIF >10, meaning these predictors are highly correlated with the remaining features in the model

Top 10 features used for the prediction of RECIST response		Top 10 features used for the prediction of irRECIST response
Feature	VIF	Feature	VIF
P_F7	1.36	P_F89	1.57
P_F84	1.49	P_F187	1.21
P_F269	15.12	P_F269	12.78
P_F289	15.40	P_F289	12.01
PV_F35	5.38	PV_F24	1.38
PV_F89	5.22	PV_F81	1.27
PV_F109	9.19	PV_F270	1.35
Ar_F152	1.09	Ar_F152	1.35
Ar_F154	1.16	ArV_F36	4.13
Ar_F238	1.17	ArV_F247	3.74

RECIST, Response Evaluation Criteria in Solid Tumors

irRECIST, immune-related Response Evaluation Criteria in Solid Tumors