Article

Diabetes Prediction Using Machine Learning

2025-04-18

Abstract excerpt

The research analyzes machine learning methods for predicting diabetes through Pima Indians Diabetes Dataset analysis. The optimization of XGBoost and Logistic Regression (LR), Support Vector Machine (SVM) and Random Forest (RF) through Optuna resulted in tests on clinical features including glucose, BMI and insulin. The predictive performance of XGBoost and LR reached 82.03% accuracy and 88.24% precision due to t...

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Literature Corpus work: dff4920f-aa78-55d9-97eb-04a899b5a521
DOI: 10.20944/preprints202504.1586.v1

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