Fig. 5
From: Blood metal levels predict digestive tract cancer risk using machine learning in a U.S. cohort
In-depth analysis of cancer-affected individuals based on machine learning models. (A) Spearman correlation matrix of input parameters; (B) optimization of hyperparameters for the Random Forest (RF) model based on accuracy; (C) confusion matrix of the RF model; (D) feature importance analysis based on SHAP.
