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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Egile nagusia:	Swono Sibagariang
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Universitas Gadjah Mada 2025-08-01
Saila:	Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Gaiak:	machine learning job suitability prediction shapley additive explanations (shap) graduate job placement
Sarrera elektronikoa:	https://jurnal.ugm.ac.id/v3/JNTETI/article/view/20516
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!