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. 2015 Feb 26;10(2):e0117988. doi: 10.1371/journal.pone.0117988

Table 8. Actual classification performance for Lung cancer dataset using KNN classifier.

Sensitivity Specificity GMean PPV F1-measure
DWFS 63.52% (±10.21) 66.39% (±13.29) 64.82% (±10.73) 63.49% (±17.41) 63.14% (±13.27)
MRMR+DWFS 61.82% (±10.6) 66.72% (±6.37) 64.1% (±7.61) 62.88% (±9.13) 61.94% (±7.66)
JMI+DWFS 56.14% (±16.39) 78.33% (±8.16) 65.65% (±10.19) 70.06% (±13.39) 61.27% (±12.33)
MRMR 57.38% (±10.61) 71.94% (±13.29) 63.98% (±9.83) 66.19% (±12.92) 60.84% (±9.39)
JMI 54.96% (±16.17) 72.17% (±11.17) 62.43% (±11.93) 64.29% (±17.51) 58.41% (±14.32)
WEKA 61.66% (±7.95) 63.06% (±11.61) 62.04% (±7.44) 60.8% (±14.68) 60.26% (±9.33)
FST3 57.63% (±9.72) 67.06% (±5.66) 61.82% (±4.75) 61.37% (±9.92) 58.88% (±8.14)
ALL Features 59.43% (±12.14) 63.67% (±17.65) 60.89% (±10.61) 61.62% (±18.05) 59.65% (±12.32)
Correlation-baseline 60.29% (±8.75) 65.44% (±10.5) 62.5% (±6.47) 61.44% (±12.68) 60.19% (±7.55)