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Table 11 Summary of results for the Pulmon Dataset

From: Cooperative co-evolution for feature selection in Big Data with random feature grouping

Classifier Accuracy (%) Sensitivity (%) Specificity (%) No. of features
NB 65.52 100.00 100.00 432
NB + CCEAFS 74.14 100.00 100.00 91
NB + CCFSRFG-1 89.66 100.00 100.00 42
NB + CCFSRFG-2 70.69 100.00 100.00 208
SVM 93.10 100.00 100.00 432
SVM + CCEAFS 98.28 100.00 100.00 89
SVM + CCFSRFG-1 100.00 100.00 100.00 51
SVM + CCFSRFG-2 100.00 100.00 100.00 190
k-NN 86.21 100.00 100.00 432
k-NN + CCEAFS 87.93 100.00 100.00 105
k-NN + CCFSRFG-1 100.00 100.00 100.00 25
k-NN + CCFSRFG-2 89.66 100.00 100.00 188
J48 82.76 62.50 96.00 432
J48 + CCEAFS 93.10 100.00 98.00 61
J48 + CCFSRFG-1 96.55 100.00 96.55 29
J48 + CCFSRFG-2 94.83 100.00 98.00 193
RF 91.38 100.00 100.00 432
RF + CCEAFS 96.55 100.00 100.00 117
RF + CCFSRFG-1 96.55 100.00 100.00 183
RF + CCFSRFG-2 94.83 100.00 100.00 210
LR 86.21 100.00 100.00 432
LR + CCEAFS 98.28 100.00 100.00 143
LR + CCFSRFG-1 100.00 100.00 100.00 137
LR + CCFSRFG-2 96.55 100.00 100.00 219
  1. Italic signifies the improvements of the proposed approach over existing techniques