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Fig. 1 | BioData Mining

Fig. 1

From: Optimizing age-related hearing risk predictions: an advanced machine learning integration with HHIE-S

Fig. 1

Evaluation of Machine Learning Models for Age-Related Hearing Loss Prediction on the Testing Dataset. A Receiver operating characteristic (ROC) curves and B LGBM demonstrate the highest area under the ROC curve for age-related hearing loss (ARHL) prediction on the testing dataset, outperforming XGBoost and SDTC. Abbreviations: ROC, receiver operating characteristic; AUC, area under the ROC curve; precision, average precision; extreme gradient boosting (XGBoost), gradient boosting classifier (GBC), snap decision tree classifier (SDTC), light gradient boosting machine (LGBM), snap random forest classifier (SRFC)

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