Fig. 4: Evaluation of respiratory disease diagnostic models. | Experimental & Molecular Medicine

Fig. 4: Evaluation of respiratory disease diagnostic models.

From: Machine-learning algorithms for asthma, COPD, and lung cancer risk assessment using circulating microbial extracellular vesicle data and their application to assess dietary effects

Fig. 4

a AUC values for 30 iterations of the lung cancer, COPD, and asthma models developed using GLM without feature selection, GLM with feature selection, ANN, GBM, and ensemble methods were visualized in box plots. b AUC-ROC curves of the 30 iterations were plotted against the false-positive rate and true-positive rate of the COPD, asthma, and lung cancer diagnostic models developed through ANN, GBM, and Ensemble (ANN/GBM) methods.

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