Energy Informatics

Table 4 Training time of binary classification algorithms

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

Algorithm	Training Time (s)
LR	1.47
SVM	115.25
KNN	0.48
DT	0.37
RF	11.46
NB	0.04
MLP	134.59

The table shows the results of comparing the training time 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 evaluation metric used is training time in seconds

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