预测贷款违约倾向的UCI German Credit信用数据集

UCI German Credit是UCI的德国信用数据集，里面有原数据和数值化后的数据。German Credit数据是根据个人的银行贷款信息和申请客户贷款逾期发生情况来预测贷款违约倾向的数据集，数据集包含24个维度的，1000条数据。该数据集将通过一组属性描述的人员分类为良好或不良信用风险。

UCI German Credit is the German credit dataset from the UCI Machine Learning Repository. It contains both the original raw data and numerically encoded data. The German Credit dataset is a predictive dataset for loan default propensity, built based on individuals' bank loan information and their loan overdue records. It includes 1000 samples with 24 attributes. This dataset classifies individuals described by a set of attributes into either good or bad credit risks.

搜集汇总

背景与挑战

背景概述

该数据集是UCI的德国信用数据集，用于预测个人贷款违约倾向，包含24个维度的1000条数据，通过银行贷款信息和客户逾期情况将人员分类为良好或不良信用风险。数据集适用于金融信用风控和模式识别领域，数据量较小，便于分析和建模。