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Energy Informatics

Table 2 Performance evaluation measures of binary classification algorithms

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

 

Healthy

Faulty

 

Precision

Recall

F1-Score

Precision

Recall

F1-Score

LR

1

1

1

1

0.98

0.99

SVM

1

1

1

1

0.95

0.98

KNN

1

1

1

1

1

1

DT

1

1

1

1

1

1

RF

1

1

1

1

1

1

NB

1

1

1

1

0.98

0.99

MLP

1

1

1

1

1

1

  1. The table shows the results of different binary classification algorithms applied to data sets in the context of the state of health of PEFC (healthy and faulty). Algorithms evaluated include LR, SVM, KNN, DT, RF, NB, and MLP. The evaluation metrics used are Precision, Revocation, and F1-Score
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