Fig. 3 | Scientific Reports

Fig. 3

From: Using machine learning algorithms to predict risk factors of heart failure after complete mesocolic excision in colorectal cancer patients

Fig. 3The alt text for this image may have been generated using AI.

Evaluation of the four models for predicting heart failure. (A) ROC curves for the training set of the four models. (B) ROC curves for the validation set of the four models. (C) Calibration plots of the four models. The 45° dotted line on each graph represents the perfect match between the observed (y-axis) and predicted (x-axis) complication probabilities. A closer distance between two curves indicates greater accuracy. (D) DCA curves of the four models. The intersection of the red curve and the All curve is the starting point, and the intersection of the red curve and the None curve is the node within which the corresponding patients can benefit.

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