Research Article
A Novel Multiway Splits Decision Tree for Multiple Types of Data
Table 8
The accuracy of five classifiers on numerical data.
| | Dataset | Accuracy % (rank) | | J48 | CARTSL | OC1 | HHCART(A) | MSDT |
| | Blood | 78.09 0.50(1) | 70.51 0.70(5) | 77.34 0.56(3) | 76.50 0.45(4) | 77.53 0.68(2) | | Glass | 66.73 2.84(3) | 66.59 2.06(4) | 68.43 2.80(2) | 64.02 3.14(1) | | | Image | 96.55 0.26(3) | 96.32 0.39(4) | 96.78 0.33(2) | 97.22 0.25(1) | 96.01 0.40(5) | | Iris | 95.13 0.73(3) | 95.07 0.61(4) | 94.67 0.62(5) | 95.33 0.63(2) | 96.00 0.00(1) | | Letter | 88.09 0.23(5) | 88.19 0.17(4) | 89.72 0.20(2) | 88.23 0.22(3) | 91.77 0.16(1) | | MF-mor | 72.01 0.62(1) | 65.11 0.43(5) | 70.15 0.48(3) | 69.83 0.63(4) | 71.13 0.43(2) | | Wav1 | 76.50 0.32(4) | 75.38 0.52(5) | 80.07 0.33(2) | 79.83 0.33(3) | 82.30 0.32(1) | | Wav2 | 75.29 0.61(4) | 74.27 0.43(5) | 79.68 0.56(2) | 79.01 0.45(3) | 80.65 0.42(1) | | Wine | 93.54 0.88(3) | 90.00 1.46(5) | 92.54 0.98(4) | 94.47 0.86(2) | 95.11 1.23(1) | | Yeast | 55.77 0.93(3) | 51.14 1.01(5) | 55.90 1.06(1) | 54.28 1.11(4) | 55.84 0.93(2) | | Average | 79.77(3) | 77.26(4.6) | 80.53(2.6) | 79.87(3.1) | 81.68(1.7) |
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