Modified Hybrid Discriminant Analysis Methods and Their Applications in Machine Learning

Table 2

Accuracy ratio of different methods.

UCI data set	Accuracy ratio (%)
	FLDA	SDAM	BDAM	HDAM	SVM-Kernel	Ensembles	MHDA
Abalone	52.89	49.03	54.32	48.86	N	53.82	79.79
Balance scale	68.64	52.00	69.28	79.84	99.36	88.16	93.12
Banknote	97.67	75.44	97.67	99.20	100.00	100.00	99.78
Breast tissue	52.83	46.23	72.64	66.98	33.96	57.55	78.30
Cryotherapy	90.00	65.56	90.00	67.78	56.67	100.00	96.67
Iris	98.67	93.33	98.00	98.00	99.30	96.67	98.67
Vehicle silhouettes	63.71	31.00	79.67	30.73	25.65	53.31	77.31
Vertebral2c	80.65	76.77	80.65	76.77	67.74	91.94	94.52
Vertebral3c	68.39	76.45	80.97	73.55	48.39	78.06	93.55

Note. In Table 2, N denotes the exception of the corresponding method.