Table 21.
Comparison between BPSO and various well-know algorithms in terms of average accuracy.
Dataset | Measure | BPSO1 | BHHO | BGSA | BWOA | BGWO | BBA | BALO | BMFO |
---|---|---|---|---|---|---|---|---|---|
All | AVG | 0.7511 | 0.7515 | 0.7245 | 0.7507 | 0.7372 | 0.6624 | 0.7474 | 0.7504 |
STD | 0.0075 | 0.0095 | 0.0086 | 0.0042 | 0.0064 | 0.0472 | 0.0038 | 0.0039 | |
Caucasian | AVG | 0.7967 | 0.7821 | 0.7430 | 0.7815 | 0.7623 | 0.7060 | 0.7781 | 0.7821 |
STD | 0.0136 | 0.0049 | 0.0061 | 0.0054 | 0.0049 | 0.0356 | 0.0056 | 0.0058 | |
Females | AVG | 0.8034 | 0.8068 | 0.7517 | 0.8093 | 0.7864 | 0.6949 | 0.8017 | 0.8059 |
STD | 0.0078 | 0.0067 | 0.0106 | 0.0072 | 0.0088 | 0.0344 | 0.0091 | 0.0063 | |
Age > 50 | AVG | 0.7836 | 0.7703 | 0.7236 | 0.7691 | 0.7473 | 0.6945 | 0.7649 | 0.7721 |
STD | 0.0111 | 0.0078 | 0.0122 | 0.0097 | 0.0081 | 0.0192 | 0.0110 | 0.0077 | |
Hispanic | AVG | 0.7870 | 0.7805 | 0.7382 | 0.7789 | 0.7683 | 0.6805 | 0.7813 | 0.7772 |
STD | 0.0064 | 0.0094 | 0.0120 | 0.0064 | 0.0103 | 0.0617 | 0.0071 | 0.0042 | |
Age ≤ 50 | AVG | 0.8321 | 0.7991 | 0.7376 | 0.7991 | 0.7661 | 0.6661 | 0.7835 | 0.7853 |
STD | 0.0168 | 0.0110 | 0.0189 | 0.0091 | 0.0108 | 0.0604 | 0.0151 | 0.0064 | |
Males | AVG | 0.7513 | 0.7224 | 0.6949 | 0.7154 | 0.7090 | 0.6430 | 0.7160 | 0.7160 |
STD | 0.0159 | 0.0053 | 0.0106 | 0.0033 | 0.0033 | 0.0327 | 0.0031 | 0.0031 | |
Mean Rank | F-test | 1.57 | 2.29 | 7.00 | 3.36 | 6.00 | 8.00 | 4.36 | 3.43 |