Fig. 3 | Scientific Reports

Fig. 3

From: Random forest algorithm for predicting postoperative hypotension in oral cancer resection and free flap reconstruction surgery

Fig. 3

Variable shrinkage and selection using the Boruta algorithm. (A), Boruta feature selection model identified 10 of the 50 variables that demonstrated a strong association with POH. The horizontal axis displays the number of variables, while the vertical axis shows the root mean square error value of each variable. (B), Classifier run of Boruta analysis. Every curve represents the Z-value of each variable in the model calculation.

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