Bar Plot from Scientific Research

AUC for XGBoost classifiers trained using predictors from different categories (each model also includes the baseline predictors age and sex). The error bars show 95% CIs computed using bootstrapping; the centres of the error bars correspond to the point estimates. The number of predictors in each category is indicated on the corresponding bar. The black dashed vertical line indicates the performance of the full XGBoost model using all predictors. The black dotted vertical line corresponds to an XGBoost model allowed to use only age and sex as predictors. Most of the predictor categories perform better than this baseline model, with income and medication purchases being the most predictive categories.

DOI