Leveraging Bayesian networks and information theory to learn risk factors for breast cancer metastasis

BMC Bioinformatics

Table 3 Average Jaccard index results for 120 datasets containing 10,000 records

Dataset	MBIL	FGS	PC	CPC
Pure_Weak	0.707	0.286	0.25	0.000
Marginal_Weak_Weak	0.651	0.286	0.271	0.186
Marginal_Weak_Strong	0.645	0.321	0.339	0.336
Pure_Strong	0.989	0.286	0.213	0.275
Marginal_Strong_Weak	1.000	0.321	0.414	0.664
Marginal_Strong_Strong	1.000	0.568	0.611	0.811
All Datasets	0.832	0.345	0.350	0.379

ISSN: 1471-2105