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Table 3 Machine learning classifiers coupled with encoding methods

From: Protein sequences classification by means of feature extraction with substitution matrices

    Encoding method
Data Mtr Clfr NG AM DD DDSM
DS1 CA C4.5 96.7 95 95 96.7
   SVM 96.7 93.3 96.7 96.7
   NB 86.7 90 81.7 80
   NN 63.3 78.3 60 61.7
  NA   4935 2060 4905 2565
DS2 CA C4.5 99.6 99.4 99.8 99.4
   SVM 100 99.4 100 100
   NB 100 74.7 100 100
   NN 100 100 100 98.8
  NA   6503 7055 10058 1312
DS3 CA C4.5 36.4 - 36.7 79.2
   SVM 43.2 - 43.2 78.94
   NB 43.2 - 43.1 59.4
   NN 20.9 - 21.3 77
  NA   7983 - 8403 508
DS4 CA C4.5 60 57.5 77.5 82.5
   SVM 67.5 65 87.5 87.5
   NB 57.5 40 92.6 95
   NN 52.5 60 80 80
  NA   5561 3602 7116 5505
DS5 CA C4.5 75.5 75.1 67.9 73.3
   SVM 84.1 81.2 82.3 82.3
   NB 77.3 63.7 84.5 85.9
   NN 80.5 79.4 78 78
  NA   6465 2393 13830 13083
  1. Mtr: Metric, Clfr: Classifier, CA: Classification Accuracy (%), NA: Number of Attributes.