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Fig. 9 | BMC Medical Informatics and Decision Making

Fig. 9

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. 9

Model calibration in the independent validation dataset. A: Y-axis shows the observed event rate on the validation set. X-axis shows the predicted probability binned into 10 deciles. Colour coded lines show the event rate vs the midpoint of the probability decile for each model. B: The slope and intercept of a linear model fitted to the data of panel A, event rate = A*probability decile + b

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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