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) |