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Influence of Class Imbalance on the Quality of Hydrocracking Unit Failure Prediction Models

Table 2: Models evaluation metrics

Metrics Decision tree Random Forest Logistic regression Gaussian Bayesian
Accuracy 0.862 0.866 0.784 0.777
Precision 0.774 0.783 0.478 0.397
Recall 0.508 0.520 0.05 0.067
F-score 0.613 0.625 0.09 0.115
AUC-ROC 0.842 0.844 0.683 0.755
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