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Fig. 1 | BioMedical Engineering OnLine

Fig. 1

From: The significance of ophthalmological features in diagnosis of thyroid-associated ophthalmopathy

Fig. 1

Three logistic regression models for predicting the subtype, stage and severity. These three models were first established and then conducted fine-tuning to maximum the AUC or accuracy using Pycaret. A The ROC curve of the thyroid function subtype model (for recognition of hyperthyroidism, euthyroidism, and hypothyroidism). B The precision–recall curve for the thyroid function subtype model, with an average precision of 0.87 across different recall levels. C The matrix of predicted types and true types in this model. D The ROC curve of the two-end logistic regression model of TAO stages, the overall AUC was 0.84 and in the micro-average ROC curve the AUC was 0.88. E The precision–recall curve of staging model, with an average precision of 0.92 across different recall levels. F The matrix of predicted types and true types, showing an overall accuracy of 0.8. G The discrimination threshold plot of this staging model. H The three-end logistic regression model of severity, with an AUC of 0.94 in the micro-average ROC curve. I The precision–recall curve of this severity model, the average precision was 0.86. J The matrix of predicted cases and true cases, with an accuracy of 0.82

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