User Risk Tolerance Classification Dataset
收藏arXiv2025-09-30 收录
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资源简介：
该数据集旨在评估一款基于零知识证明（ZKP）的应用，通过分析用户对金融问题的回答，将其划分为不同风险承受等级。每个用户档案都是独一无二的，并应用相同的推理逻辑将用户分类为：保守型、稳定增长型、平衡型或激进投资型。该数据集的规模为从59,049种组合中抽取的40个用户档案，任务是对用户的风险承受等级进行分类。
This dataset is designed to evaluate an application based on zero-knowledge proof (ZKP), which classifies users into different risk tolerance levels by analyzing their responses to financial questions. Each user profile is unique, and a consistent reasoning logic is applied to categorize users into four investment risk profiles: conservative, steady-growth, balanced, and aggressive. The dataset consists of 40 user profiles sampled from 59,049 possible combinations, with the task focused on classifying users' risk tolerance levels.
提供机构：
Japanese Bankers Association
