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Hybrid Ensemble XGBoost, LightGBM, CatBoost, Random Forest, dan MLPClassifier untuk Memprediksi Kinerja Mahasiswa UMN dengan SHAP

⭐ Mourinho, Eric (2025) Hybrid Ensemble XGBoost, LightGBM, CatBoost, Random Forest, dan MLPClassifier untuk Memprediksi Kinerja Mahasiswa UMN dengan SHAP. Pro-Step Thesis, Universitas Multimedia Nusantara.

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Item Type: Thesis (Pro-Step Thesis)
Creators: Mourinho, Eric (00000069045)
Contributors: Desanti, Ririn Ikana (0313058001)
Subjects: 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 004 Computer Science, Data Processing, Hardware > 004.2 Systems Analysis and Design, Information Architecture, Performance Evaluation
Divisions: Faculty of Engineering & Informatics > Information System
Date Deposited: 09 Jan 2026 12:04
URI: https://kc.umn.ac.id/id/eprint/43200

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