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