地球资源数据云——数据资源详情
贷款状况预测
该数据集《Loan Status Prediction》主要用于二分类任务，数据形态以表格为主，应用场景偏向金融风控。 题目说明：Predict the loan to be approved or to be rejected for an applicant. 任务类型：表格二分类。 建议流程：先做缺失值/异常值处理与特征编码，再比较逻辑回归、随机森林、XGBoost。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：loan_data.csv。 In this Loan Status Prediction dataset, we have the data of applicants who previously applied for the loan based on the property which is a Property Loan. The bank will decide whether to give a loan to the applicant based on some factors such as Applicant Income, Loan Amount, previous Credit History, Co - applicant Income, etc... Our goal is to build a Machine Learning Model to predict the loan to be approved or to be rejected for an applicant. About the loan_data.csv file: Loan_ID: A unique loan ID.
摘要概览
该数据集《Loan Status Prediction》主要用于二分类任务，数据形态以表格为主，应用场景偏向金融风控。 题目说明：Predict the loan to be approved or to be rejected for an applicant.
任务类型：表格二分类。
建议流程：先做缺失值/异常值处理与特征编码，再比较逻辑回归、随机森林、XGBoost。
评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。
可用文件：loan_data.csv。
In this Loan Status Prediction dataset, we have the data of applicants who previously applied for the loan based on the property which is a Property Loan.
The bank will decide whether to give a loan to the applicant based on some factors such as Applicant Income, Loan Amount, previous Credit History, Co - applicant Income, etc...
Our goal is to build a Machine Learning Model to predict the loan to be approved or to be rejected for an applicant.
About the loan_data.csv file:
Loan_ID: A unique loan ID.