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Fig. 4 | BioData Mining

Fig. 4

From: Interpretable recurrent neural network models for dynamic prediction of the extubation failure risk in patients with invasive mechanical ventilation in the intensive care unit

Fig. 4

Calibration curves for model validation on the test set. For each model, the calibration curve plotted means of decile-binned predicted probabilities versus corresponding means of actual probabilities in the patients in each bin. As shown, each blue point of a calibration curve represented a bin and the size of the gray circle around represented the sample size of this bin. The dotted line was the identity line of y = x representing perfect calibration. Abbreviations: GRU gated recurrent unit, LSTM long short-term memory, LR logistic regression, MLP multi-layer perceptron, RF random forest, SVM support vector machine, XGB extreme gradient boosting

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BioData Mining

ISSN: 1756-0381