On the Pima Indian Diabetes Dataset, the best LLM, Gemma-2-27B with three-shot prompting, reached 74.35% accuracy and a 0.7250 F1-score, slightly below Random Forest's accuracy but above its F1.
Diabetes prediction using machine learning algorithms
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From Chat to Checkup: Can Large Language Models Assist in Diabetes Prediction?
On the Pima Indian Diabetes Dataset, the best LLM, Gemma-2-27B with three-shot prompting, reached 74.35% accuracy and a 0.7250 F1-score, slightly below Random Forest's accuracy but above its F1.