An MR Brain Images Classifier System via Particle Swarm Optimization and Kernel Support Vector Machine

Table 3

Parameters of comparison by random selection method (the final row corresponds to our proposed method).

	𝜎	𝐶	Success case	Classification accuracy
Random 1	0.625	124.71	410	91.11%
Random 2	1.439	185.13	412	91.56%
Random 3	1.491	136.20	423	94.00%
Random 4	1.595	176.78	409	90.89%
Random 5	1.836	160.80	401	89.11%
Random 6	1.973	137.90	401	89.11%
Random 7	1.654	87.01	396	88.00%
Random 8	1.372	149.96	427	94.89%
Optimized	1.132	143.3	440	97.78%