Scoring the creditworthiness of accounts that interact with decentralized financial (DeFi) protocols remains an important yet unsolved problem. In this paper, we propose a credit scoring system for those accounts that have interacted with the Aave v2 liquidity protocol. The key component of this system is a tree-based binary classifier that predicts "position delinquency." To the community, we provide our method, results, and the (abridged) dataset on which this system is built.
翻译:区分与分散化金融(DeFi)协议互动的账户的信用度仍然是一个重要但尚未解决的问题。 在本文中,我们建议为那些与Aave v2流动性协议互动的账户建立一个信用评分系统。 这个系统的关键组成部分是一个基于树的二进制分类器,它预测“ 定位犯罪 ” 。 我们向社区提供我们的方法、结果和(简略的)数据集,作为这个系统的基础。