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

Table 2 Confusion matrix and definitions of terms used for measuring the models’ performance

		Predicted class
		SA	non-SA
Real class	SA	True Positive (TP): The number of cases with SA that are properly categorized as SA cases.	False Positive (FP): The number of cases with non-SA that are wrongly categorized as SA cases.
Real class	non-SA	False Negative (FN): The number of cases with SA that are wrongly categorized as non-SA cases.	True Negative (TN): The number of cases with non-SA that are properly categorized as non-SA cases.

ISSN: 1472-6947