High-Performance Method for Brain Tumor Feature Extraction in MRI Using Complex Network

Table 4

Compare accuracy with several similar classifiers.

Classifier	Paper	High accuracy (%)
SVM	Sarkar et al. [8]	98.30
	Hamid et al. [9]	95.00
	Ansari et al. [10]	98.91
	Li et al. [11]	88.00
	Alves et al. [12]	76.60
	Kang et al. [13]	98.50
	Jena et al. [14]	94.25
	Nanmaran et al. [15]	96.8
	Susanto et al. [16]	98.65
	Aamir et al. [17]	98.98
	This study	99.69
kNN	Alves et al. [12]	80.60
	Kang et al. [13]	98.50
	Jena et al. [14]	87.88
	Nanmaran et al. [15]	91.75
	This study	98.84
Naive Bayes	Kang et al. [13]	90.20
	Jena et al. [14]	97
	This study	98.55
Random forests	Alves et al. [12]	82.70
	Kang et al. [13]	97.17
	This study	99.71