Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance of asphalt pavements under various conditions. Published in Smart ...
The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...
The importance of immune cell types in the XGBoost model. The influence of immune cell infiltration scores on SHAP values, with a color gradient representing low to high cell infiltration scores.
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