Feature Selection Method Based on Artificial Bee Colony Algorithm and Support Vector Machines for Medical Datasets Classification

Table 7

Performance of classification for the hepatitis, liver disorders, and diabetes datasets.

Performance criteria	Hepatitis dataset	Liver disorders dataset	Diabetes dataset
Classification accuracy (%)	94.92	74.81	79.29
Sensitivity (%)	97.13	88.22	89.84
Specificity (%)	88.33	56.68	59.61
Positive predictive value (%)	96.91	73.99	80.63
Negative predictive value (%)	88.33	78.57	75.65