A Deep Belief Network and Dempster-Shafer-Based Multiclassifier for the Pathology Stage of Prostate Cancer

Table 4

Experimental results of all classification methods between the training and validation sets.

	Training set			Validation set
	Sensitivity	Specificity	Accuracy	Sensitivity	Specificity	Accuracy
Partin table	45.96%	88.44%	70.52%	52.69%	71.36%	64.14%
C4.5	64.46%	91.32%	80.46%	56.61%	85.22%	74.15%
NB	64.46%	93.30%	81.64%	58.86%	93.78%	80.27%
LR	60.65%	92.16%	79.42%	57.29%	85.64%	74.67%
BPN	63.90%	92.02%	80.60%	61.66%	85.57%	76.32%
SVM	52.13%	89.21%	74.35%	52.13%	84.87%	72.20%
RF	57.37%	86.43%	74.86%	56.73%	70.93%	65.44%
DBN	44.61	88.04	71.65%	50.56%	85.01%	71.68%
DBN-DS (proposed)	65.13%	94.29%	82.60%	61.77%	93.56%	81.27%