The prediction of default in P2P Lending based on Random Forest Model
碩士 === 國立政治大學 === 金融學系 === 107 === Abstract In this paper we evaluate and predict the private credit risk in P2P lending by using traditional Logistic regression and Random Forest in machine learning. For the open data from LendingClub in 2018, we select the private credit risk factors of P2P lendin...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/25pd2t |