中文说明： 本实例采用一种简单的个人客户信贷信用评估方法，对所有客户做二分类，只区分好和差两种情况。数据采用德国信用数据库。德国信用数据库由Hans Hofmann教授整理，包含1000份客户资料，每位客户包含20条属性，并给出了信用的好或差的标注。源代码网址如下： http://www.zhangyitian.cn/blog/ann%E7%AC%94%E8%AE%B0-%E5%9F%BA%E4%BA%8Ebp%E7%BD%91%E7%BB%9C%E7%9A%84%E4%B8%AA%E4%BA%BA%E4%BF%A1%E8%B4%B7%E4%BF%A1%E7%94%A8%E8%AF%84%E4%BC%B0/ 数据下载网址 请点击左侧文件开始预览 ！预览只提供20%的代码片段，完整代码需下载后查看 加载中 侵权举报
English Description：
This example uses a simple credit evaluation method for individual customers, which classifies all customers into two categories, and only distinguishes good and bad situations. The data were collected from German credit database. German credit database is compiled by Professor Hans Hofmann, which contains 1000 customer information, each customer contains 20 attributes, and gives the good or bad mark of credit. The source code address is as follows: