Fig. 2 | Scientific Reports

Fig. 2

From: Large language models versus classical machine learning performance in COVID-19 mortality prediction using high-dimensional tabular data

Fig. 2

ROC curves and AUC scores for COVID-19 mortality prediction models in internal and external validation. Caption: Models include fine-tuned LLM (Mistral 7b) and seven classical machine learning algorithms: logistic regression (LR), support vector machine (SVM), decision tree, k-nearest neighbors (kNN), random forest, neural network, and XGBoost. Upper panel: internal validation; Lower panel: external validation. Curves show true positive rate (TPR) versus false positive rate (FPR). AUC scores indicate each model’s discriminative power.

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