Table 9. Actual classification performance for TFTF dataset using KNN classifier.

	Sensitivity	Specificity	GMean	PPV	F1-measure
DWFS	78.23% (±6.39)	57.12% (±6.51)	66.82% (±6.34)	64.79% (±7.13)	70.86% (±6.9)
MRMR+DWFS	80.68% (±5.59)	57.53% (±7.49)	67.97% (±5.07)	65.87% (±5.05)	72.46% (±4.79)
JMI+DWFS	76.18% (±2.41)	60.34% (±9.12)	67.66% (±5.66)	66.39% (±4.12)	70.9% (±2.81)
MRMR	74.96% (±4.83)	57.6% (±9.61)	65.48% (±5.72)	64.35% (±7.18)	69.02% (±4.83)
JMI	76.29% (±5.13)	56.9% (±6.39)	65.83% (±5.2)	64.11% (±6.68)	69.6% (±5.65)
WEKA	77.46% (±6.4)	56.57% (±5.77)	66.1% (±4.91)	64.31% (±5.14)	70.13% (±4.57)
FST3	78.75% (±2.22)	58.38% (±5.02)	67.76% (±3.38)	65.66% (±5.29)	71.53% (±3.65)
ALL Features	75.98% (±5.78)	56.35% (±6.79)	65.36% (±5.53)	63.71% (±7.1)	69.22% (±6.09)
Correlation-baseline	76.23% (±4.36)	55.14% (±7.5)	64.74% (±5.53)	63.25% (±7)	69.05% (±5.7)