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credit.svmlib | 2 years ago | |
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credit_numeric.svmlib.test | 2 years ago | |
credit_numeric.svmlib.train | 2 years ago | |
data.py | 2 years ago | |
demo.py | 2 years ago | |
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pred.py | 2 years ago | |
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util.py | 2 years ago | |
visual.py | 2 years ago |
信用数据集 预测 回归
1.数据集有1000条实例,正负比例700:300,24个属性,1个标签
2.采用SVM、线性回归、决策树等模型进行预测
3.这是一个二分类问题,将每条实例分为1或者2
基于German credit dataset的二分类任务,测试平台运行性
CSV Python
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