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Table 6 Summary of results for all classification datasets

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

AL NOF ET AC AC_STD AC_CI_L AC_CI_H AC_P AC_TS ER ER_STD ER_CI_L ER_CI_H ER_P ER_TS
WCC 86.50 91.75 69.08 1.50 63.65 64.82 0.000 1005.58 4.93 0.05 4.94 4.96 0.000 4633.69
LCA 74.50 84.50 69.89 2.01 63.86 65.69 0.000 763.53 4.97 0.08 4.98 5.16 0.000 3514.85
GA 130.00 153.25 63.03 1.09 59.79 61.26 0.000 498.26 5.14 0.11 5.07 5.33 0.000 483.88
PSO 131.25 46.25 64.00 1.69 60.28 62.44 0.000 217.48 5.04 0.10 4.98 5.18 0.000 330.59
ACO 131.00 75.25 62.64 1.84 59.07 61.33 0.000 220.77 5.24 0.16 4.93 5.26 0.000 269.58
ICA 130.25 65.00 64.07 1.24 61.07 62.90 0.000 284.54 5.16 0.09 5.15 5.35 0.000 626.15
LA 129.25 43.00 68.76 3.67 59.86 63.85 0.000 136.58 4.85 0.22 4.86 5.28 0.000 120.87
HTS 128.25 35.50 61.45 1.71 57.56 59.54 0.000 291.13 5.37 0.20 5.37 5.78 0.000 275.03
FOA 90.25 57.00 67.06 1.62 60.92 62.70 0.000 281.06 4.90 0.20 4.91 5.34 0.000 365.22
DSOS 97.75 65.50 61.70 1.11 58.09 60.16 0.000 468.70 5.36 0.15 5.11 5.49 0.000 2618.94
CUK 109.75 82.50 67.39 1.63 61.96 63.88 0.000 216.40 4.98 0.19 4.85 5.29 0.000 1155.13