TABLE 2.

Performance of classification of combination of somatic mutation and gene expression by using 80 genes.

Cancer type	Precision	Recall	F1-score	Support	Specificity
BLCA	0.8906	0.9354	0.9124	294.0000	0.9950
BRCA	0.9987	0.9947	0.9967	970.0000	0.9998
CESC	0.9148	0.8859	0.9001	241.0000	0.9971
COAD	0.7548	0.9644	0.8468	390.0000	0.9815
GBM	0.9940	1.0000	0.9970	148.0000	0.9999
HNSC	0.9916	1.0000	0.9958	460.0000	0.9994
KIRC	0.9850	0.9516	0.9680	345.0000	0.9992
KIRP	0.9344	0.9630	0.9485	216.0000	0.9979
LAML	1.0000	1.0000	1.0000	121.0000	1.0000
LGG	0.9926	0.9977	0.9952	433.0000	0.9995
LIHC	0.9925	0.9844	0.9884	282.0000	0.9997
LUAD	0.9358	0.9448	0.9403	475.0000	0.9953
LUSC	0.9408	0.9000	0.9199	411.0000	0.9965
OV	1.0000	0.9946	0.9973	185.0000	1.0000
PAAD	0.9378	0.9552	0.9464	134.0000	0.9988
PRAD	0.9973	1.0000	0.9987	374.0000	0.9998
READ	0.7569	0.1591	0.2627	137.0000	0.9990
STAD	0.9947	0.9976	0.9961	412.0000	0.9997
THCA	1.0000	0.9979	0.9990	486.0000	1.0000
UCEC	0.9673	0.9816	0.9744	494.0000	0.9975
Accuracy	0.9577	0.9577	0.9577	0.0000