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3748                                Journal of Software  软件学报 Vol.31, No.12, December 2020

                Table 6    Classification accuracy and dimension reduction of MCC-NESand compared methods (2)
                            表 6   MCC-NES 及其对比算法的分类准确率和维度缩减率(2)
                        Vehicle             CA (%)            DR (%)           Classifier
                       MCC-NES           86.20(70%~30%)        72.22             5-NN
                        FSFOA            73.98(70%~30%)        50.0              5-NN
                       PSO(4-2)          85.3(70%~30%)         68.4              5-NN
                       MCC-NES           86.89(70%~30%)        69.44             1-NN
                        FSFOA            73.81(70%~30%)        61.11             1-NN
                       Rc-BBFA           75.79(70%~30%)        61.11             1-NN
                       IFS-CoCo           70.85(10-fold)       42.75             1-NN
                       MCC-NES            73.40(2-fold)        88.88           RBF-SVM
                        FSFOA             62.41(2-fold)        47.22           RBF-SVM
                        HGAFS             76.36(2-fold)        38.99           RBF-SVM
                       MCC-NES            81.06(10-fold)       66.67            CART
                        FSFOA             73.04(10-fold)       31.57            CART
                       FS-NEIR            70.98(10-fold)       50.0             CART
                      Segmentatin           CA (%)            DR (%)           Classifier
                       MCC-NES            93.65(10-fold)       68.42             3-NN
                        FSFOA             96.20(10-fold)       30.0              3-NN
                         NSM              95.0(10-fold)        63.15             3-NN
                       Ionosphere           CA (%)            DR (%)           Classifier
                       MCC-NES            93.20(10-fold)       91.17             5-NN
                        FSFOA             89.43(10-fold)       54.28             5-NN
                       PSO(4-2)          87.27(70%~30%)        90.41             5-NN
                      FW-NSGA-II          86.80(10-fold)       42.64             5-NN
                       MCC-NES           98.58(70%~30%)        75.88             1-NN
                        FSFOA            89.52(70%~30%)        54.28             1-NN
                      SVM-FuzCoc         89.46(70%~30%)        88.23             1-NN
                         SFS             87.75(50%~50%)        65.88             1-NN
                         SBS             84.61(50%~50%)        77.64             1-NN
                        SFFS             88.32(50%~50%)        75.29             1-NN
                       MCC-NES            95.73(2-fold)        58.82           RBF-SVM
                        FSFOA             94.58(2-fold)        57.14           RBF-SVM
                        HGAFS             92.76(2-fold)        82.35           RBF-SVM
                     ACOFSS+mRMR          93.20(10-fold)       41.17           RBF-SVM
                       ISEDBFO            96.60(10-fold)       52.64           RBF-SVM
                        ACBFO             96.20(10-fold)       50.58           RBF-SVM
                       MCC-NES           99.06(70%~30%)        85.29            CART
                        FSFOA            95.12(70%~30%)        47.05            CART
                       UFSACO            88.61(70%~30%)        11.17            CART
                       MCC-NES            94.36(10-fold)       79.41            CART
                        FSFOA             93.16(10-fold)       68.57            CART
                       FS-NEIR            92.59(10-fold)       82.35            CART
                     ACOFSS+mRMR          92.40(10-fold)       67.6             CART
                      Dermatology           CA (%)            DR (%)           Classifier
                       MCC-NES           99.36(70%~30%)        71.47             1-NN
                        FSFOA            97.27(70%~30%)        45.71             1-NN
                      SVM-FuzCoc         94.11(70%~30%)        64.7              1-NN
                         SFS             94.02(70%~30%)        44.7              1-NN
                         SBS             91.78(70%~30%)        58.23             1-NN
                        SFFS             93.70(70%~30%)        62.35             1-NN
                       IFS-CoCo           94.93(10-flod)       55.88             1-NN
                       MCC-NES            97.54(10-fold)       70.58            CART
                        FSFOA             96.99(10-fold)       21.42            CART
                       FS-NEIR            93.95(10-fold)       70.58            CART
                     ACOFSS+mRMR          96.10(10-fold)       50.0             CART
                       MCC-NES           98.18(70%~30%)        70.58            CART
                        FSFOA            90.09(70%~30%)        44.11            CART
                       UFSACO            95.28(70%~30%)        26.47            CART
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