Cancer Classification with a Cost-Sensitive Naive Bayes Stacking Ensemble

Table 3

Classification accuracy (%) of different methods.

Datasets	NervSys	Leukemia	DLBCL1	DLBCL2	DLBCL3	Prostate	Ovarian	Lung1	Lung2
CSNB stacking	90.00	100	100	98.70	87.93	95.10	100	98.96	100
CSKNN stacking	83.33	100	100	98.70	84.48	92.16	100	98.96	100
CSC4.5 stacking	90.00	100	100	98.70	86.21	93.14	100	89.58	99.45
CSLIBSVM stacking	86.67	100	100	97.40	77.59	92.16	100	92.71	99.45
Bagging	83.33	100	100	97.40	84.48	93.14	100	98.96	100
AdaBoost	81.67	100	100	96.10	84.48	95.10	100	98.96	100
CSNB	76.67	100	100	96.10	86.21	92.16	100	98.96	100
NB	76.67	100	100	96.10	86.21	92.16	100	98.96	100
LIBSVM	86.67	100	100	98.70	82.76	94.12	100	98.96	99.45
KNN	86.67	100	95.74	93.51	70.69	89.22	100	98.96	100
RF	88.33	98.61	100	96.10	86.21	94.12	99.60	98.96	99.45
C4.5	75.00	81.94	78.72	84.42	72.41	88.24	98.02	98.96	95.58