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Table 9 Classification accuracy of naïve Bayes, k-NN, and SVM over the Australian and Japanese datasets

From: Distance-based features in pattern classification

Datasets

 

Number. of classes

Dimension

Number of samples

Naïve Bayes

k-NN

SVM

Australian

Original

2

14

690

67.34%

71.59% (k = 9)

55.73% (γ = 0)

 

+2D

 

16

 

65.02%

72.75% (k = 7)

56.02% (γ = 0)

 

2D

 

2

 

62.12%

71.88% (k = 14)

62.70% (γ = 0)

Japanese

Original

2

15

653

67.18%

69.02% (k = 5)

55.83% (γ = 0)

 

+2D

 

17

 

64.88%

69.63% (k = 5)

55.52% (γ = 0)

 

2D

 

2

 

61.81%

68.40% (k = 9)

62.58% (γ = 0)

  1. The best result for each dataset is highlighted in italic.