TY  - THES
TI  - ANALISIS KOMPARATIF ALGORITMA MACHINE LEARNING
(STUDI KASUS: RANDOM FOREST, XGBOOST, DAN SUPPORT
VECTOR MACHINE) UNTUK PREDIKSI DINI SINDROM
OVARIUM POLIKISTIK (PCOS)
Y1  - 2026/05/20/
KW  - Polycystic Ovary Syndrome
KW  -  Machine Learning
KW  -  Random Forest
KW  - 
XGBoost
KW  -  Support Vector Machine.
PB  - Universitas AMIKOM Yogyakarta
A1  - Sari, Nadia Silvia
M1  - bachelor
UR  - https://eprints.amikom.ac.id/id/eprint/33056/
ID  - universitasamikomyogyakarta33056
AV  - restricted
ER  -