Enhanced fault detection in polymer electrolyte fuel cells via integral analysis and machine learning

Energy Informatics

Table 5 Comparison of performance evaluation measures of classification algorithms

Model	Sensitivity	Precision	F-Score	Computational cost
LR	High	High	High	Low
SVM	High	High	High	High
KNN	High	High	High	Low
DT	High	High	High	Low
RF	High	High	High	Low
NB	High	High	High	Low
MLP	High	High	High	High

The table shows the results of comparing the performance metrics of different binary classification algorithms for data in the context of PEFCs. The algorithms evaluated include LR, SVM, KNN, DT, RF, NB, and MLP. The metrics evaluated are precision, sensitivity, F1-Score, and computational cost