![](https://img.haomeiwen.com/i7691822/2248edb2af716401.png)
1.数据介绍
2.数据预处理
3.回归模型
4.随机森林模型
5.特征选择
![](https://img.haomeiwen.com/i7691822/dabb3948f2752687.png)
![](https://img.haomeiwen.com/i7691822/f5acd6f009593ba6.png)
![](https://img.haomeiwen.com/i7691822/2bf017077ac248cd.png)
![](https://img.haomeiwen.com/i7691822/da5a9f334badab19.png)
使用均值填充缺失的值‘
![](https://img.haomeiwen.com/i7691822/cdf1ab7c6348bb9f.png)
对男女进行数值处理
![](https://img.haomeiwen.com/i7691822/737118e10c28b357.png)
![](https://img.haomeiwen.com/i7691822/0f318c94f70c9999.png)
衡量模型效果,KFold
![](https://img.haomeiwen.com/i7691822/14e0dee841b3124e.png)
![](https://img.haomeiwen.com/i7691822/b4fe5d453dd8b29f.png)
![](https://img.haomeiwen.com/i7691822/c0581fc60230c8cb.png)
改成逻辑回归
![](https://img.haomeiwen.com/i7691822/f2104c2e88fce422.png)
使用随机森林:
![](https://img.haomeiwen.com/i7691822/a3a703785fb877e6.png)
![](https://img.haomeiwen.com/i7691822/dbdec82ea444db34.png)
特征选择
![](https://img.haomeiwen.com/i7691822/f7386bc02d514d13.png)
![](https://img.haomeiwen.com/i7691822/0e276c4385d4a49c.png)
特征选择:给某一个特征加入噪音,看看效果是否提升。
![](https://img.haomeiwen.com/i7691822/7c3626c4d6c0de24.png)
![](https://img.haomeiwen.com/i7691822/8ec7547c257e7a6a.png)
![](https://img.haomeiwen.com/i7691822/0cf221da22ccab74.png)
![](https://img.haomeiwen.com/i7691822/27e1174ef420a5b5.png)
集成的方法:
![](https://img.haomeiwen.com/i7691822/8c03dbdc311d9603.png)
![](https://img.haomeiwen.com/i7691822/028a96557744e04a.png)
![](https://img.haomeiwen.com/i7691822/478c28c456d444e8.png)
![](https://img.haomeiwen.com/i7691822/1b5c3d900ffe2ee5.png)
![](https://img.haomeiwen.com/i7691822/48f80ec228547fb7.png)
![](https://img.haomeiwen.com/i7691822/09c42bb233b8e601.png)
1.数据介绍
2.数据预处理
3.回归模型
4.随机森林模型
5.特征选择
使用均值填充缺失的值‘
衡量模型效果,KFold
改成逻辑回归
使用随机森林:
本文标题:04Kaggle竞赛案例-泰坦尼克获救预测
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