Using an adaptive network-based fuzzy inference system for prediction of successful aging: a comparison with common machine learning algorithms

Table 6 Comparison of the performance of the classifiers

ML models	Precision	Sensitivity	Accuracy	F-score
ANFIS (With gauss2MF)	0.9080	0.9518	0.9231	0.9294
MLP	0.8636	0.9268	0.8846	0.8941
SVM	0.8735	0.8941	0.8717	0.8837
RF	0.8809	0.8604	0.8589	0.8705

ISSN: 1472-6947