Machine Learning for Predicting Hyperglycemic Cases Induced by PD-1/PD-L1 Inhibitors

Table 3

Variable selection in two methods.

Drugs		Avel		Dur		Atez		Pem		Nivo
No.	Variable	nzv	Overall	nzv	Overall	nzv	Overall	nzv	Overall	nzv	Overall
1	Reactions	F	1	F	1	F	1	F	1	F	1
2	Reason	F	0.771	F	0.434	F	0.549	F	0.374	F	0.229
3	Country	F	0.033	F	0.005	F	0.004	F	0.004	F	0.009
4	Age	F	0.007	F	0.004	F	0	F	0	F	0
5	Weight	F	0.007	F	0.013	F	0.002	F	0	F	0.001
6	Sex	F	0	F	0	F	0	F	0	F	0
7	Year	F	0	F	0	F	0	F	0.002	F	0
8	Priority	T	0	F	0	T	0.001	F	0.004	T	0.001
9	Reporter	T	0	F	0	T	0	F	0	F	0
10	Serious	T	0	T	0	T	0	T	0	T	0
11	Source	T	0	T	0	T	0	T	0	T	0

nzv: near zero variance. Overall: overall value of model assessment. T: true. F: false (“T” or “0” means this variable should be deleted in each method).