Prediction based on best fit linear regression model
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Hi,
I have the below data(train_data, test_data), and I want to do following:
- In train set some of point or outliears, and I want evaluate best fit model based on mean squared error
- Prediction based on best fit model.
Train_data:
x y
1 1
2 3
6 6
8 2
11 15
15 9
21 11
25 14
Test set:
x
5
12
21
23
my desired output(i.e, y:)
4
7
12
13
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回答(1 个)
the cyclist
2017-8-11
2 个评论
the cyclist
2017-8-11
You can do "robust" fitting (with fitlm, or other MATLAB functions). This is a common way of handling outliers. The documentation page I linked has the details on how to do this.
This Wikipedia page discusses robust methods.
另请参阅
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