Fig. 2
From: Development and validation of a machine learning-based nomogram for predicting HLA-B27 expression
Randomforest screening variables. a The 30 most vital elements measured based on the 2 random forest algorithms including “IncNodePurity” and “%IncMSE”. b This perfect regression impact is acquired through maintaining 20 vital variables following 10-fold cross-validation