Table 8 Summary of results for the Dermatology Dataset
From: Cooperative co-evolution for feature selection in Big Data with random feature grouping
Classifier | Accuracy (%) | Sensitivity (%) | Specificity (%) | No. of features |
|---|---|---|---|---|
NB | 97.54 | 99.11 | 100.00 | 34 |
NB + CCEAFS | 95.08 | 96.43 | 99.61 | 7 |
NB + CCFSRFG-1 | 97.27 | 98.21 | 99.61 | 6 |
NB + CCFSRFG-2 | 97.54 | 98.21 | 99.61 | 7 |
SVM | 96.99 | 100.00 | 100.00 | 34 |
SVM + CCEAFS | 92.62 | 94.64 | 99.21 | 8 |
SVM + CCFSRFG-1 | 93.17 | 100.00 | 96.46 | 5 |
SVM + CCFSRFG-2 | 95.90 | 95.54 | 99.61 | 10 |
k-NN | 95.63 | 99.11 | 100.00 | 34 |
k-NN + CCEAFS | 95.08 | 98.21 | 100.00 | 8 |
k-NN + CCFSRFG-1 | 94.81 | 95.54 | 99.61 | 5 |
k-NN + CCFSRFG-2 | 92.08 | 96.43 | 98.03 | 9 |
J48 | 95.90 | 97.32 | 100.00 | 34 |
J48 + CCEAFS | 95.08 | 96.43 | 99.61 | 7 |
J48 + CCFSRFG-1 | 93.44 | 99.11 | 96.85 | 5 |
J48 + CCFSRFG-2 | 95.63 | 97.32 | 98.43 | 9 |
RF | 97.54 | 100.00 | 99.61 | 34 |
RF + CCEAFS | 94.81 | 96.43 | 99.61 | 7 |
RF + CCFSRFG-1 | 96.17 | 99.11 | 99.61 | 6 |
RF + CCFSRFG-2 | 94.54 | 100.00 | 98.03 | 10 |
LR | 96.99 | 100.00 | 99.61 | 34 |
LR + CCEAFS | 93.99 | 95.54 | 99.61 | 7 |
LR + CCFSRFG-1 | 95.63 | 97.32 | 100.00 | 5 |
LR + CCFSRFG-2 | 96.45 | 98.21 | 99.61 | 8 |