Research Article

Semi-Supervised Ensemble Classifier with Improved Sparrow Search Algorithm and Its Application in Pulmonary Nodule Detection

Table 4

Comparison on 7 unimodal functions (FEs = 1000).

Fun.TermPSOBSACSAWOAGOASCASSASCA-SSASCA-CSSA

Max1.56E + 047.19E + 031.57E + 041.55E + 047.02E + 031.38E + 042.466.16E − 013.43E01
Min2.44E − 4301.56E + 042.00E − 1564.03E − 071.30E − 304.04E − 1274.51E − 1130
Mean9.95E + 012.83E + 011.56E + 047.63E + 012.92E + 026.15E + 021.43E − 031.14E − 033.83E04
Std1.00E + 033.41E + 026.09E + 018.22E + 024.76E + 022.12E + 035.49E − 022.47E − 021.10E02

Max1.43E + 032.24E + 011.37E + 032.77E + 039.84E + 011.91E + 022.043.123.81
Min7.63E − 232.66E − 2178.352.08E − 1082.52E − 047.42E − 229.86E − 719.92E − 660
Mean3.001.24E − 011.07E + 023.127.031.202.63E036.45E − 035.03E − 03
Std5.28E + 011.312.73E + 028.84E + 011.21E + 018.606.05E021.14E − 011.26E − 01

Max2.02E + 047.30E + 032.03E + 041.58E + 047.94E + 031.81E + 044.48E + 013.65E + 011.93E+01
Min1.88E − 1202.02E + 042.06E + 016.16E − 017.40E − 104.46E − 594.52E − 500
Mean1.50E + 022.86E + 012.03E + 041.75E + 034.67E + 021.76E + 031.45E − 024.81E − 024.56E02
Std1.39E + 033.49E + 029.352.78E + 036.95E + 024.12E + 031.421.214.55E01

Max6.96E + 014.79E + 016.78E + 016.29E + 014.30E + 017.08E + 013.05E013.14E − 013.29E − 01
Min6.79E − 101.61E − 2196.62E + 011.561.74E − 014.48E − 104.04E − 471.85E − 550
Mean1.012.72E − 016.76E + 016.926.868.084.06E047.89E − 046.08E − 04
Std5.552.904.82E − 011.07E + 016.221.78E + 018.80E031.25E − 021.19E − 02

Max4.81E + 051.29E + 054.58E + 054.70E + 057.32E + 045.88E + 052.58E + 012.29E + 017.73
Min4.498.977.11E + 035.926.027.044.00E − 077.63E − 077.80E08
Mean1.05E + 032.57E + 026.40E + 041.36E + 039.72E + 021.94E + 042.56E − 026.11E − 021.45E02
Std1.57E + 044.53E + 031.15E + 052.12E + 043.08E + 038.55E + 046.04E − 019.25E − 012.84E01

Max1.52E + 046.85E + 031.67E + 041.54E + 046.89E + 031.51E + 041.992.303.44
Min3.08E − 331.821.62E + 049.85E − 055.73E − 072.34E − 011.54E − 336.16E348.63E − 33
Mean9.82E + 012.89E + 011.64E + 047.14E + 013.02E + +025.30E + 021.35E033.84E − 033.73E − 03
Std1.01E + 033.22E + 021.44E + 028.20E + 024.90E + 021.79E + 034.49E028.17E − 021.11E − 01

Max4.761.947.137.641.055.911.248.73E − 011.28
Min3.80E − 031.11E − 045.08E − 019.47E − 043.00E − 031.64E − 033.91E − 044.64E − 049.87E05
Mean3.59E − 016.41E − 036.47E − 014.59E − 021.16E − 022.37E − 012.06E − 032.41E − 031.93E03
Std6.53E − 018.07E − 025.89E − 014.07E − 014.77E − 027.68E − 014.16E − 022.93E − 021.96E02