DMER站长博客分析师资源站

DMER数据分析

 找回密码
 立即注册

扫一扫,访问微社区

QQ登录

只需一步,快速开始

查看: 565|回复: 1

[问答] 个人信用模型,交流解答, 请帮忙做下,也是个好的学习资料

[复制链接]

1

主题

2

帖子

829

积分

高级分析师

Rank: 4

积分
829
发表于 2016-3-2 00:58:38 | 显示全部楼层 |阅读模式

马上注册,结交更多好友,享用更多功能,让你轻松玩转社区。

您需要 登录 才可以下载或查看,没有帐号?立即注册

x
问题如下
Improve on the state of the art in credit scoring by predicting the probability that somebody will experience financial distress in the next two years.

Banks play a crucial role in market economies.
They decide who can get finance and on what terms and can make or break investment decisions.
For markets and society to function, individuals and companies need access to credit. Credit scoring algorithms, which make a guess at the probability of default, are the method banks use to determine whether Or not a loan should be granted.

This competition requires participants to improve on the state of the art in credit scoring, by predicting the probability that somebody will experience financial distress in the next two years.

The goal of this competition is to build a model that borrowers can use to help make the best financial decisions.

Data Dictionary.xls

32.5 KB, 下载次数: 4, 下载积分: 金钱 -2

UTDtestMis.csv

82.87 KB, 下载次数: 2, 下载积分: 金钱 -2

test 数据

UTDtrainPrepped.csv

1.18 MB, 下载次数: 1, 下载积分: 金钱 -2

Train 数据

回复

使用道具 举报

448

主题

559

帖子

1万

积分

版主

Rank: 7Rank: 7Rank: 7

积分
18505
发表于 2016-3-2 14:44:24 | 显示全部楼层
就是风险控制,数据挖掘方向 或者是决策时。大家可以下载 数据,学习一下
回复 支持 反对

使用道具 举报

您需要登录后才可以回帖 登录 | 立即注册

本版积分规则

QQ|关于我们|小黑屋|手机版|Archiver|帮助|DMER 数据分析 ( 蜀ICP备13007024号-2  

GMT+8, 2018-6-21 01:29 , Processed in 0.286386 second(s), 40 queries .

Powered by Discuz! X3.2

© 2001-2013 Comsenz Inc.

快速回复 返回顶部 返回列表