Table 3

Classification Accuracy of Seven Algorithms using SVM.

DatasetMimJMImRMRCIFERelaxFSCFRWCFR
Vehicle57.86 ± 0.14(=)62.99 ± 0.07(=)62.04 ± 0.09(=)64.94 ± 0.07(=)63.47 ± 0.07(=)65.01 ± 0.07(=)65.15 ± 0.07
Sonar77.21 ± 0.03(+)78.96 ± 0.03(=)77.50 ± 0.02(+)77.35 ± 0.02(+)77.99 ± 0.02(+)78.74 ± 0.03(=)79.34 ± 0.03
Mfeatfac85.89 ± 0.12(+)89.06 ± 0.11(+)89.72 ± 0.11(+)88.76 ± 0.11(+)90.24 ± 0.11(=)90.39 ± 0.11(=)90.58 ± 0.11
Semeion59.53 ± 0.15(+)64.00 ± 0.12(+)66.00 ± 0.12(+)63.63 ± 0.10(+)68.58 ± 0.12(=)67.27 ± 0.11(=)68.41 ± 0.12
Isolet41.52 ± 0.14(+)61.31 ± 0.13(+)62.49 ± 0.13(+)58.11 ± 0.11(+)68.96 ± 0.15(+)69.94 ± 0.15(+)72.49 ± 0.16
CANE971.41 ± 0.18(=)72.68 ± 0.16(=)72.60 ± 0.16(=)67.98 ± 0.13(+)73.29 ± 0.16(=)73.17 ± 0.16(=)73.71 ± 0.16
ORL58.15 ± 0.23(+)82.17 ± 0.21(+)81.94 ± 0.20(+)57.24 ± 0.14(+)82.21 ± 0.21(=)79.62 ± 0.21(+)81.81 ± 0.22
COIL2063.77 ± 0.20(+)85.63 ± 0.14(+)87.50 ± 0.14(+)87.11 ± 0.14(+)89.95 ± 0.14(+)88.42 ± 0.15(+)90.23 ± 0.15
WarpPIE10p84.50 ± 0.15(+)92.54 ± 0.12(+)93.53 ± 0.12(+)93.71 ± 0.12(+)93.67 ± 0.12(+)94.09 ± 0.12(+)94.92 ± 0.12
TOX 17168.49 ± 0.07(+)76.54 ± 0.07(+)77.40 ± 0.07(+)76.72 ± 0.09(=)79.63 ± 0.07(=)80.97 ± 0.12(=)80.52 ± 0.11
Average66.83 ± 0.1476.59 ± 0.1277.07 ± 0.1273.56 ± 0.1078.80 ± 0.1278.76 ± 0.1279.72 ± 0.13
W/T/L8/2/07/3/08/2/08/2/04/6/04/6/0 

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