Skip to main content

Table 10 Summary of results for the Musk Dataset

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

Classifier Accuracy (%) Sensitivity (%) Specificity (%) No. of features
NB 84.04 85.88 73.94 166
NB + CCEAFS 85.13 91.11 52.31 25
NB + CCFSRFG-1 89.71 94.63 62.73 20
NB + CCFSRFG-2 82.90 86.19 64.90 56
SVM 94.82 99.05 71.58 166
SVM + CCEAFS 91.71 98.24 55.85 22
SVM + CCFSRFG-1 92.79 98.98 58.80 14
SVM + CCFSRFG-2 92.82 98.84 59.78 63
k-NN 95.76 97.12 88.30 166
k-NN + CCEAFS 94.83 97.12 82.30 18
k-NN + CCFSRFG-1 96.59 98.15 88.00 9
k-NN + CCFSRFG-2 95.74 97.10 88.30 61
J48 96.85 98.15 89.68 166
J48 + CCEAFS 95.57 97.94 82.60 14
J48 + CCFSRFG-1 97.09 98.80 87.71 9
J48 + CCFSRFG-2 96.30 98.14 86.23 65
RF 97.94 99.87 87.32 166
RF + CCEAFS 97.06 99.44 83.97 16
RF + CCFSRFG-1 96.86 98.98 85.25 7
RF + CCFSRFG-2 97.56 99.71 85.74 60
LR 95.29 97.94 80.83 166
LR + CCEAFS 91.10 97.42 54.77 23
LR + CCFSRFG-1 92.10 98.30 58.11 10
LR + CCFSRFG-2 93.10 97.58 68.53 62
  1. Italic signifies the improvements of the proposed approach over existing techniques