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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
  1. Italic signifies the improvements of the proposed approach over existing techniques