Table 11. Actual classification performance for Medelon dataset using KNN classifier.

	Sensitivity	Specificity	GMean	PPV	F1-measure
DWFS	77.99% (±2.05)	79.33% (±4.47)	78.63% (±2.58)	78.99% (±5.24)	78.44% (±3.28)
MRMR+DWFS	53.01% (±4.15)	51% (±4.03)	51.9% (±1.88)	51.97% (±3.52)	52.35% (±2.51)
JMI+DWFS	88.53% (±2.18)	89.69% (±1.71)	89.09% (±0.74)	89.56% (±1.73)	89.01% (±1.07)
MRMR	49.16% (±1.3)	54.82% (±2.38)	51.9% (±1.21)	52.12% (±3.74)	50.54% (±1.98)
JMI	76.91% (±2.89)	76.78% (±3.68)	76.79% (±0.71)	76.81% (±3.9)	76.75% (±1.27)
WEKA	87.92% (±2.03)	88.36% (±1.67)	88.12% (±0.45)	88.24% (±2.3)	88.04% (±0.55)
FST3	89.28% (±2.17)	89.79% (±0.69)	89.52% (±0.93)	89.67% (±1.57)	89.45% (±1.05)
ALL Features	68.8% (±4.61)	72.99% (±4.27)	70.79% (±2.43)	71.84% (±4.04)	70.19% (±3.35)
Correlation-baseline	81.18% (±2.27)	82.7% (±1.71)	81.93% (±1.18)	82.41% (±2.09)	81.75% (±0.51)