Optimasi Hyperparameter Ensemble Learning untuk Prediksi Perkembangan Penyakit Diabetes dengan Explainable AI

This research focuses on optimizing and assessing ensemble learning models for predicting diabetes progression by combining hyperparameter tuning and explainable artificial intelligence techniques. Experiments were conducted using the scikit-learn diabetes dataset, which contains 442 samples with t...

Full description

Bibliographic Details

Main Authors:	David Suharjanto, Muhammad Syafiq Akmal, Nur Fikri Khuluq, Muh Naufal Muzhaffar, Maria Ulfah Siregar
Format:	Artigo
Language:	Inglês
Published:	Universitas Islam Negeri Sunan Kalijaga Yogyakarta 2026-05-01
Series:	JISKA (Jurnal Informatika Sunan Kalijaga)
Subjects:	Ensemble Learning Hyperparameter Optimization Random Forest XGBoost Diabetes Prediction
Online Access:	https://ejournal.uin-suka.ac.id/saintek/JISKA/article/view/5953
Tags:	Add Tag No Tags, Be the first to tag this record!