Publikasi Ilmiah STMIK Banjarbaru
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Model Klasifikasi Mental Siswa Menggunakan Algoritma Support Vector Machine
Student mental health plays a vital role in academic performance and social well-being. This study aims to build a classification model using the Support Vector Machine (SVM) algorithm, based on 15 features covering demographic, academic, and behavioral aspects. The dataset, obtained from Kaggle, co
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