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Table 5 Essential statistical measurements for all classification datasets

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

DS AL_NAME SEN PRE FPR ACC DS AL_NAME SEN PRE FPR ACC
CARCINOM(80%,N) WCC 0.68 0.60 0.02 0.76 USPS(80%,O) WCC 0.82 0.86 0.02 0.85
LCA 0.68 0.60 0.02 0.76 LCA 0.82 0.83 0.02 0.85
GA 0.68 0.60 0.02 0.75 GA 0.83 0.86 0.02 0.85
PSO 0.68 0.60 0.02 0.76 PSO 0.87 0.88 0.02 0.87
ACO 0.68 0.60 0.02 0.75 ACO 0.85 0.85 0.02 0.85
ICA 0.68 0.60 0.02 0.76 ICA 0.81 0.89 0.02 0.86
LA 0.68 0.60 0.02 0.75 LA 0.89 0.89 0.01 0.89
HTS 0.68 0.60 0.02 0.58 HTS 0.79 0.82 0.03 0.81
FOA 0.68 0.60 0.02 0.77 FOA 0.81 0.84 0.02 0.83
DSOS 0.68 0.60 0.02 0.76 DSOS 0.80 0.80 0.02 0.82
CUK 0.68 0.60 0.02 0.76 CUK 0.82 0.84 0.02 0.84
BASEHOCK(80%,F) WCC 0.66 0.89 0.33 0.72 DRIVE(80%,N) WCC 0.56 0.81 0.24 0.92
LCA 0.70 0.83 0.30 0.75 LCA 0.56 0.81 0.24 0.92
GA 0.57 0.72 0.43 0.49 GA 0.56 0.81 0.24 0.92
PSO 0.58 0.71 0.42 0.50 PSO 0.52 0.80 0.25 0.91
ACO 0.56 0.72 0.44 0.48 ACO 0.52 0.80 0.25 0.91
ICA 0.58 0.72 0.42 0.51 ICA 0.56 0.81 0.24 0.92
LA 0.68 0.67 0.32 0.68 LA 0.52 0.80 0.25 0.91
HTS 0.53 0.71 0.47 0.44 HTS 0.33 0.63 0.33 0.89
FOA 0.58 0.75 0.42 0.66 FOA 0.52 0.80 0.25 0.91
DSOS 0.54 0.72 0.46 0.46 DSOS 0.52 0.80 0.25 0.91
CUK 0.66 0.66 0.34 0.66 CUK 0.56 0.81 0.24 0.92