Weighted Bayesian Belief Network: A Computational Intelligence Approach for Predictive Modeling in Clinical Datasets

Table 2

Weights of attribute, value pair with class label = ‘yes’.

Attribute, value pair	Rank	Weights (class label = Yes)
Clump Thickness,1	18	.009
Clump Thickness,2	10	.11
UniformityofCellSize,3	19	.002
UniformityofCellSize,4	9	.12
UnformityofCellShape,5	20	.001
UnformityofCellShape,6	8	.095
MarginalAdhesion,7	17	.015
MarginalAdhesion,8	11	.107
SingleEpithlialCell,10	7	.122
BareNuclei,12	7	.122
BlandChromatin,13	21	.001
BlandChromatin,14	8	.121
NormalNuclei,16	7	.122
Mitosis,17	7	.122