Interpretable Machine Learning for Job Placement Prediction: A SHAP-Based Feature Analysis

Predictive modeling is important in analyzing graduates’ job outcomes, especially in forecasting job placements based on academic performance and courses. This study aims to improve predictive accuracy and interpretability in job placement classification using advanced machine learning models and SH...

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Detalhes bibliográficos

Autor principal:	Swono Sibagariang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Universitas Gadjah Mada 2025-08-01
Colecção:	Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Assuntos:	machine learning job suitability prediction shapley additive explanations (shap) graduate job placement
Acesso em linha:	https://jurnal.ugm.ac.id/v3/JNTETI/article/view/20516
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