Table 7.

Classification results for the BraTS 2018 Dataset.

Classifier	Feature Selection Technique	Validation Measure
		Accuracy	FNR	Testing Time (s)
Naïve Bayes	Pro-FC7	87.63	12.37	204.31
	Proposed	89.49	10.51	117.62
MSVM	Pro-FC7	88.19	11.81	207.56
	Proposed	91.34	8.66	167.49
Softmax	Pro-FC7	90.26	9.74	131.31
	Proposed	92.42	7.58	91.63
Ensemble Tree	Pro-FC7	89.16	10.84	151.34
	Proposed	91.79	8.21	106.12
ELM	Pro-FC7	91.69	8.31	97.04
	Proposed	93.40	6.60	63.83

The best values are shown in bold.