Research Article
A Novel Multiway Splits Decision Tree for Multiple Types of Data
Table 9
The accuracy of five classifiers on categorical and mixed data.
| | Dataset | Accuracy % (rank) | | J48 | CARTSL | OC1 | HHCART(A) | MSDT |
| | Balance | 64.00 1.18(5) | 76.91 0.82(3) | 80.36 1.49(2) | 82.82 1.12(1) | 76.45 2.05(4) | | Car | 92.52 0.63(5) | 97.31 0.22(1) | 96.27 0.76(4) | 96.91 0.53(2) | 96.45 0.23(3) | | Chess | 99.41 0.10(2) | 99.54 0.06(1) | 98.58 0.15(5) | 99.23 0.17(3) | 99.17 0.21(4) | | Hayes | 75.13 1.55(5) | 83.00 1.52(1) | 79.26 1.56(3) | 76.37 1.16(4) | 79.75 2.14(2) | | MONK | 96.11 1.54(3) | 91.94 1.51(5) | 93.37 1.53(4) | 98.57 1.58(2) | 99.63 0.85(1) | | Abalone | 61.30 0.45(2) | 57.52 0.54(5) | 60.05 0.34(3) | 59.29 0.43(4) | 62.84 0.28(1) | | CMC | 51.61 0.66(1) | 47.40 0.47(4) | 46.92 1.46(5) | 47.83 0.73(3) | 47.95 1.38(2) | | Flags | 64.34 3.34(1) | 61.96 1.03(3) | 60.35 3.62(5) | 61.73 1.49(4) | 62.42 2.04(2) | | TAE | 51.43 4.67(5) | 62.91 1.87(3) | 63.10 3.97(2) | 53.26 4.57(4) | 63.77 3.79(1) | | Zoo | 92.77 0.01(3) | 95.35 0.00(2) | 90.98 0.33(4) | 89.99 0.02(5) | 96.34 0.45(1) | | Average | 74.86(3.2) | 77.38(2.8) | 76.92(3.7) | 76.60(3.2) | 78.48(2.1) |
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