A Feature Selection Method by using Chaotic Cuckoo Search Optimization Algorithm with Elitist Preservation and Uniform Mutation for Data Classification
Table 7
Mean and standard deviation results of acc on CBCSEM and its competitors for ten datasets.
CBCSEM
EBCS
GA
WOA
GWO
ACO
Mean (std)
Mean (std)
Mean (std)
Mean (std)
Mean (std)
Mean (std)
D1
90.22 (0.33)
93.93 (6.59) −
91.14 (0.54) =
92.37 (5.18) =
85.33 (0.50) +
89.42 (4.34) =
D2
95.31 (0.25)
97.10 (1.08) =
97.29 (0.30) −
95.61 (2.69) −
92.43 (0.34) +
94.84 (3.51) +
D3
89.45 (2.04)
88.85 (1.35) =
85.82 (1.69) +
85.30 (4.22) +
76.70 (5.86) +
80.05 (2.04) +
D4
89.96 (1.71)
87.66 (2.61) +
90.23 (3.10) =
88.25 (2.18) =
77.86 (1.30) +
88.43 (1.73) +
D5
80.17 (2.10)
80.38 (1.01) =
79.22 (0.74) =
73.46 (4.46) +
71.24 (1.72) +
75.96 (1.48) +
D6
97.31 (0.26)
97.32 (0.35) =
97.30 (0.40) =
96.59 (1.38) +
95.97 (0.12) +
98.94 (0.27) -
D7
88.39 (0.66)
75.88 (0.88) +
87.08 (1.07) +
87.34 (1.53) =
82.98 (0.70) +
86.32 (0.75) +
D8
98.37 (1.05)
97.90 (0.57) =
98.28 (0.85) =
95.14 (8.33) +
85.97 (0.28) +
96.41 (0.44) +
D9
94.68 (0.21)
94.69 (0.22) =
95.12 (0.44) −
90.59 (1.01) +
92.45 (0.88) +
92.39 (0.17) +
D10
100.00 (0.00)
100.00 (0.00) =
100.00 (0.04) =
99.99 (3.44) =
97.58 (1.61) +
98.13 (0.00) +
+/ = /−
2/7/1
2/6/2
5/4/1
10/0/0
8/1/1
The bold values show the best mean and standard deviation results.
