ON PERFORMANCE COMPARISON BETWEEN STRONG MACHINE UNLEARNING ALGORITHMS FOR LOGISTIC- BASED CREDIT ASSESSMENT MODELS
The enactment of UU 27/2022 on Personal Data Protection requires financial service institutions as personal data processors to erase debtors’ personal data upon request, which is challenging to do towards trained machine learning models. In order to address this issue, machine unlearning methods...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/84982 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |