Fig. 2: AUROC, AUPRC, and Brier Score for XGBoost compared to SVM and Naïve Bayes. | npj Digital Medicine

Fig. 2: AUROC, AUPRC, and Brier Score for XGBoost compared to SVM and Naïve Bayes.

From: Unveiling overeating patterns within digital longitudinal data on eating behaviors and contexts

Fig. 2

Performance of XGBoost, SVM, and Naïve Bayes models across three data scenarios: a EMA-only data, b Passive sensing-only data, and c Feature-complete data. Each graph shows the AUROC, AUPRC, and Brier score loss for each model to allow comparison of performance across different data inputs and modeling approaches.

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