machine learning (6)---how to choose features, polynomial regression
- how to choose features, polynomial regression:通过定义更适合我们的feature,选择更好的模型,使我们的曲线与数据更好的拟合(而不仅仅是一条直线)
- 可以选择合适的feature,可能通过定义新的feature,可以得到更好的模型
- 例如在预测房子的价格与地基的长与宽之间的关系时,可以将地基的长与宽(两个feature)可以合并为一个feature---面积
- 如何将我们的模型与数据相拟合,可使用polynomial regression(多元线性回归),选择更适合我们的模型。(注意因feature的范围差异太大,要使用feature scaling)
- quadratic model
- cubic model
- square root function
转载于:https://www.cnblogs.com/yan2015/p/4526006.html
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