个人信用信息测试数据

来源于对kaggle（为开发商和数据科学家提供举办机器学习竞赛、托管数据库、编写和分享代码的平台）(数据地址:https://www.kaggle.com/c/GiveMeSomeCredit)公开数据的二次处理，测试样本数据10万条。数据中变量12个，包括好坏客户、可用额度比值、年龄、逾期30-59天笔数、负债率、月收入、信贷数量、逾期90天笔数、固定资产贷款量、逾期60-89天笔数、家庭成员人数、与其他人员关系。This dataset is derived from the secondary processing of publicly available data from Kaggle, a platform for developers and data scientists to host machine learning competitions, store databases, and write and share code. The dataset comprises 100,000 test samples and 12 variables, including: good/bad customer status, credit utilization ratio, age, number of 30-59 days past due delinquencies, debt ratio, monthly income, number of credit lines, number of 90+ days past due delinquencies, fixed asset loan amount, number of 60-89 days past due delinquencies, number of family members, and relationship with other household members. The official data source URL is https://www.kaggle.com/c/GiveMeSomeCredit.

搜集汇总

背景与挑战

背景概述

该数据集是个人信用信息测试数据，来源于Kaggle公开数据的二次处理，包含10万条样本和12个变量，如好坏客户、年龄、负债率等，用于信用评估相关测试。