Brain Tumor Detection and Classification Using IFF-FLICM Segmentation and Optimized ELM Model

Table 6

Classifiers’ performance evaluation.

Model	No. of iterations	Training accuracy (%)	Testing accuracy (%)	Sensitivity (%)	Specificity (%)	Computational time (sec)
PSO-ELM	1000	93.12	91.58	91.65	88.58	79.6528
MHS-ELM	1000	95.23	93.28	94.13	91.78	58.3321
SCA-ELM	1000	97.33	96.54	97.45	98.65	32.2657
MHS-SCA-ELM	1000	99.12	98.47	98.78	99.23	23.2487