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Table 2 Evaluation of feature selection methods on H3N2, HRV and RSV datasets using the top m genes (values represent classification accuracy)

From: Minimum redundancy maximum relevance feature selection approach for temporal gene expression data

  Feature KNN   NB   SVM  
  selection Number of features   Number of features   Number of features  
  method 1 10 20 30 40 50   1 10 20 30 40 50   1 10 20 30 40 50  
H3N2 mRMR 58.8 76.5 82.4 88.2 88.2 88.2   64.7 76.5 76.5 70.6 70.6 76.5   58.8 70.6 64.7 70.6 76.5 88.2  
  F-statistic 58.8 82.4 88.2 88.2 88.2 94.1   64.7 82.4 88.2 94.1 94.1 94.1   58.8 88.2 88.2 88.2 88.2 100  
  ReliefF 64.7 47.1 70.6 76.5 82.4 82.4   70.6 52.9 82.4 88.2 88.2 94.1   52.9 70.6 94.1 100 94.1 94.1  
  MT-LASSO 52.9 70.6 76.5 94.1 88.2 100   64.7 70.6 64.7 76.5 82.4 76.5   58.8 82.4 70.6 94.1 100 100  
  TMRMR-C 100 100 100 100 100 100   94.1 100 100 100 100 100   88.2 100 94.1 94.1 94.1 100  
  TMRMR-M 100 100 100 100 100 100   94.1 94.1 100 100 100 100   94.1 100 94.1 94.1 100 100  
HRV mRMR 40.0 40.0 50.0 60.0 55.0 60.0   35.0 40.0 65.0 60.0 75.0 75.0   35.0 40.0 70.0 65.0 60.0 65.0  
  F-statistic 40.0 55.0 85.0 75.0 75.0 75.0   35.0 75.0 70.0 70.0 80.0 80.0   30.0 60.0 70.0 85.0 75.0 80.0  
  ReliefF 45.0 55.0 55.0 55.0 60.0 60.0   50.0 50.0 40.0 50.0 50.0 60.0   55.0 50.0 45.0 50.0 60.0 60.0  
  MT-LASSO 40.0 50.0 50.0 65.0 60.0 60.0   40.0 55.0 60.0 70.0 75.0 75.0   40.0 55.0 50.0 60.0 70.0 75.0  
  TMRMR-C 55.0 80.0 80.0 75.0 85.0 75.0   50.0 75.0 85.0 90.0 85.0 80.0   50.0 75.0 85.0 85.0 75.0 75.0  
  TMRMR-M 55.0 60.0 75.0 75.0 80.0 75.0   50.0 75.0 85.0 80.0 80.0 80.0   50.0 70.0 80.0 75.0 80.0 75.0  
RSV mRMR 84.2 68.4 68.4 63.2 63.2 68.4   79.0 68.4 68.4 63.2 57.9 68.4   84.2 68.4 57.9 57.9 57.9 57.9  
  F-statistic 79.0 63.2 68.4 63.2 63.2 63.2   79.0 68.4 79.0 73.7 57.9 68.4   84.2 73.7 79.0 68.4 68.4 63.2  
  ReliefF 73.7 47.4 36.8 31.6 36.8 42.1   68.4 68.4 79.0 52.6 47.4 47.4   68.4 68.4 52.6 47.4 47.4 42.1  
  MT-LASSO 79.0 57.9 52.6 47.4 57.9 57.9   79.0 89.5 73.7 63.2 57.9 52.6   79.0 73.7 57.9 52.6 52.6 57.9  
  TMRMR-C 79.0 84.2 73.7 84.2 84.2 84.2   79.0 84.2 84.2 84.2 84.2 84.2   79.0 84.2 79.0 89.5 84.2 84.2  
  TMRMR-M 79.0 84.2 84.2 73.7 73.7 73.7   79.0 84.2 84.2 84.2 84.2 84.2   79.0 73.7 84.2 73.7 79.0 79.0  
Average mRMR 61.0 61.6 66.9 70.5 68.8 72.2   59.6 61.6 70.0 64.6 67.8 73.3   59.3 59.7 64.2 64.5 64.8 70.4  
  F-statistic 59.3 66.8 80.6 75.5 75.5 77.4   59.6 75.3 79.1 79.3 77.3 80.8   57.7 74.0 79.1 80.6 77.2 81.1  
  ReliefF 61.1 49.8 54.1 54.4 59.7 61.5   63.0 57.1 67.1 63.6 61.9 67.2   58.8 63.0 63.9 65.8 67.2 65.4  
  MT-LASSO 57.3 59.5 59.7 68.8 68.7 72.6   61.2 71.7 66.1 69.9 71.7 68.0   59.3 70.3 59.5 68.9 74.2 77.6  
  TMRMR-C 78.0 88.1 84.6 86.4 89.7 86.4   74.4 86.4 89.7 91.4 89.7 88.1   72.4 86.4 86.0 89.5 84.4 86.4  
  TMRMR-M 78.0 81.4 86.4 82.9 84.6 82.9   74.4 84.4 89.7 88.1 88.1 88.1   74.4 81.2 86.1 80.9 86.3 84.7  
  1. Bold represents the best average accuracy