Investigating the Role of Image Fusion in Brain Tumor Classification Models Based on Machine Learning Algorithm for Personalized Medicine

Table 1

Performance measures of SVM, KNN, and decision tree classifiers when features extracted from fused images are given as input.

S. no.	Classifier name	TP	FP	TN	FN	Accuracy	Precision	Recall	Specificity	score
1	SVM	195	5	190	10	96.8	97.5	95.12	97.43	96.29
2	-NN	186	14	187	13	93.3	93	93.46	93.03	93.23
3	Decision tree	181	19	182	18	90.8	90.5	90.95	90.54	90.72