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Fig. 3 | BMC Medical Informatics and Decision Making

Fig. 3

From: Classification of painful or painless diabetic peripheral neuropathy and identification of the most powerful predictors using machine learning models in large cross-sectional cohorts

Fig. 3

Performance estimates during model training, aggregated across resamplings and imputations. Solid coloured bars show the estimate mean and black lines the pooled SD calculated using Rubin’s rules. Visualised scalar metrics are the Mathews Correlation Coefficient (MCC), Balanced Accuracy and Area Under the Precision Recall Curve (AUPRC)

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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