PREDICTING DIABETES MELLITUS USING CATBOOST CLASSIFIER AND SHAPLEY ADDITIVE EXPLANATION (SHAP) APPROACH

PREDICTING DIABETES MELLITUS USING CATBOOST CLASSIFIER AND SHAPLEY ADDITIVE EXPLANATION (SHAP) APPROACH

Diabetes mellitus as a metabolic disease characterized by hyperglycemia can be dangerous if it cannot be handled properly. Early detection of existing symptoms can reduce the impact of delays in treatment. This study aims to carry out early-detection patients with diabetes mellitus using a machine l...

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Bibliographic Details
Main Authors: Novia Permatasari, Shafiyah Asy Syahidah, Aldo Leofiro Irfiansyah, M. Ghozy Al-Haqqoni
Format: Article
Language:English
Published: Universitas Pattimura 2022-06-01
Series:Barekeng
Subjects:
machine learning
classification
catboost
shap value
diabetes mellitus
Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/5273
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