@phdthesis{universitasamikomyogyakarta33056,
          school = {Universitas AMIKOM Yogyakarta},
            year = {2026},
           title = {ANALISIS KOMPARATIF ALGORITMA MACHINE LEARNING
(STUDI KASUS: RANDOM FOREST, XGBOOST, DAN SUPPORT
VECTOR MACHINE) UNTUK PREDIKSI DINI SINDROM
OVARIUM POLIKISTIK (PCOS)},
          author = {Nadia Silvia Sari},
           month = {May},
             url = {https://eprints.amikom.ac.id/id/eprint/33056/},
        keywords = {Polycystic Ovary Syndrome, Machine Learning, Random Forest,
XGBoost, Support Vector Machine.}
}