A New Initialization Approach in Particle Swarm Optimization for Global Optimization Problems

Table 5

Classification accuracy results.

S. no.	Datasets	Type	BPA		PSO		SO-PSO		H-PSO		WE-PSO
			Tr. acc (%)	Ts. acc (%)	Tr. acc (%)	Ts. acc (%)	Tr. acc (%)	Ts. acc (%)	Tr. acc (%)	Ts. acc (%)	Tr. acc (%)	Ts. acc (%)
1	Iris	3-Class	98.2	95.7	99	96.6	98.8	97.3	98.9	96	99.2	98
2	Diabetes	2-Class	86.1	65.3	88.7	69.1	89.3	69.1	88.4	71.6	90.4	74.1
3	Heart	2-Class	78.5	68.3	99.5	72.5	99.13	67.5	99.13	72.5	100	77.5
4	Wine	3-Class	67.3	62.17	74.24	61.11	81.81	66.66	75.75	67.44	75.75	69.6
5	Seed	3-Class	84.2	70.56	97.57	77.77	87.27	84.44	98.18	77.77	98.18	91.11
6	Vertebral	2-Class	91.4	84.95	96.03	92.85	96.42	92.85	96.40	92.85	97.61	94.64
7	Blood tissue	2-Class	76.3	73.47	90.8	78.6	86.94	78.66	83.89	70	84.74	84
8	Horse	2-Class	64.4	57.87	69.02	50	74.19	52	72.90	56	79.35	58
9	Mammography	2-Class	77.36	71.26	80.82	76.66	68.94	63	88	85	97.71	96.66