A Novel Multiway Splits Decision Tree for Multiple Types of Data

Table 7

Comparison of the accuracy for different splitting functions on categorical and mixed data.

	Fun 0	Fun 1	Fun 2	Fun 3	Fun 4	Fun 5	Fun6	Fun 7
Balance	72.51	70.75	73.42	73.47	68.94	71.04	69.23	76.45
Car	74.88	86.11	76.89	89.48	81.92	83.76	92.73	96.45
Chess	80.05	95.66	90.42	95.96	71.51	93.68	92.62	99.17
Hayes	71.00	76.88	72.00	77.88	59.25	71.56	66.69	79.75
MONK	73.98	85.23	83.94	88.03	88.80	97.41	88.17	99.63
Abalone	59.12	59.44	61.33	61.46	50.56	55.66	61.66	62.84
CMC	45.19	44.31	49.04	45.66	43.13	45.10	44.60	47.95
Flags	47.01	57.06	50.31	60.05	47.73	59.12	48.76	62.42
TAE	47.75	49.07	59.47	53.97	56.56	58.41	61.85	63.77
Zoo	95.64	96.73	95.74	96.53	95.54	96.04	95.74	96.34
Average	66.71	72.12	71.26	74.25	66.39	73.18	72.21	78.48