Table 9 Summary of results for the Divorce Dataset
From: Cooperative co-evolution for feature selection in Big Data with random feature grouping
Classifier | Accuracy (%) | Sensitivity (%) | Specificity (%) | No. of features |
|---|---|---|---|---|
NB | 97.65 | 100.00 | 95.24 | 54 |
NB + CCEAFS | 98.24 | 100.00 | 96.43 | 3 |
NB + CCFSRFG-1 | 99.41 | 100.00 | 98.81 | 2 |
NB + CCFSRFG-2 | 98.24 | 100.00 | 96.43 | 12 |
SVM | 98.24 | 100.00 | 96.43 | 54 |
SVM + CCEAFS | 97.65 | 100.00 | 95.24 | 3 |
SVM + CCFSRFG-1 | 98.24 | 100.00 | 96.43 | 2 |
SVM + CCFSRFG-2 | 97.65 | 100.00 | 95.24 | 9 |
k-NN | 97.65 | 100.00 | 95.24 | 54 |
k-NN + CCEAFS | 98.24 | 100.00 | 96.43 | 3 |
k-NN + CCFSRFG-1 | 99.41 | 100.00 | 98.81 | 2 |
k-NN + CCFSRFG-2 | 97.06 | 98.84 | 95.24 | 13 |
J48 | 97.06 | 97.67 | 96.43 | 54 |
J48 + CCEAFS | 98.24 | 100.00 | 96.43 | 3 |
J48 + CCFSRFG-1 | 98.82 | 100.00 | 97.62 | 2 |
J48 + CCFSRFG-2 | 97.06 | 97.67 | 96.43 | 11 |
RF | 97.65 | 100.00 | 95.24 | 54 |
RF + CCEAFS | 98.24 | 100.00 | 96.43 | 3 |
RF + CCFSRFG-1 | 99.41 | 100.00 | 98.81 | 3 |
RF + CCFSRFG-2 | 97.65 | 100.00 | 95.24 | 13 |
LR | 97.65 | 100.00 | 95.24 | 54 |
LR + CCEAFS | 98.24 | 98.84 | 97.62 | 3 |
LR + CCFSRFG-1 | 98.24 | 100.00 | 96.43 | 2 |
LR  +  CCFSRFG-2 | 97.06 | 100.00 | 94.05 | 13 |