Credit risk classification is an essential task in the financial sector to minimize loan default losses and maintain financial system stability. One of the main challenges in building accurate credit risk models is class imbalance, where the number of non-default cases significantly outnumbers default cases, causing cl...
Ahmad Abil Rizky Ramadhan, Gusti Wiwik Nur Afifa, M. Barata et al.· JOURNAL OF APPLIED INFORMATI...· 0 citations
The growth of online lending services has driven the increasing adoption of digital financial applications, providing users with convenient access to financial services. This growing number of users has generated a large volume of reviews on the Google Play Store, which can serve as a valuable source for understanding...
Lindya Rossita Handoko, Amelia Faza, M. Barata et al.· JOURNAL OF APPLIED INFORMATI...· 0 citations
It is demonstrated that the size of the dataset influences the accuracy and stability of sentiment analysis models ABSTRAK and this study demonstrates that the size of the dataset influences the accuracy and stability of sentiment analysis models.