PEMBELAJARAN MESIN UNTUK MENILAI KELAYAKAN KREDIT PROYEK RETROFIT: MULTINOMIAL LOGIT

Creditworthiness assessment was one of the first areas to apply machine learning techniques in economics. The creditworthiness retrofit protection vital for ESCO determining credit scoring. This study aimed develop a retrofitting model utilize with multinomial logistic (MNL) and life cycle cost analysis (LCCA). aims provide an evaluation models from financing alternative Indonesia's energy efficiency industry. goal reduce total prediction error, which comprised bias, variance, fundamental error. findings demonstrated that approaches might yield significantly greater accuracy. In addition, is also expected automatically capture nonlinear relationship between input features selected results. draw on ideas enhanced research suggest new directions.