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Table 8 Summary of essential statistical criteria for all classification datasets

From: FeatureSelect: a software for feature selection based on machine learning approaches

AL_NAME SEN PRE FPR ACC
WCC 0.6800 0.7900 0.1525 0.8125
LCA 0.6900 0.7675 0.1450 0.8200
GA 0.6600 0.7475 0.1775 0.7525
PSO 0.6625 0.7475 0.1775 0.7600
ACO 0.6525 0.7425 0.1825 0.7475
ICA 0.6575 0.7550 0.1750 0.7625
LA 0.6925 0.7400 0.1500 0.8075
HTS 0.5825 0.6900 0.2125 0.6800
FOA 0.6475 0.7475 0.1775 0.7925
DSOS 0.6350 0.7300 0.1875 0.7375
CUK 0.6800 0.7275 0.1550 0.7950