Classification of spread Data
显示 更早的评论
Hi everyone.
I have data consisting of two classes with a total of eight features. So far I have tried solving classification problems using standard datasets like in example IRIS.
In this cases all the features were nicely distributed so that classification was not a very difficult task.
In my own dataset the distribution of the classes is a somewhat different:
As Iam new to machine Learning Iam interested to know what algorithm would be appropriate in that case and what the best way is to select my features. In my case it seems like the features are highly correlated and linearly dependent. Is that something preferable in machine Learning?
Any advice would be really great!
Cheers,
Mike
sad
回答（1 个）
Image Analyst
2018-7-13
0 个投票
The Classification Learner app (on the Apps tab of the tool ribbon) will let you try out all the different methods and show you the error (misclassification rate) for each method.
You can attach a .mat file with your table variable in it if you want people to try things with it.
类别
在 帮助中心 和 File Exchange 中查找有关 Half-Normal Distribution 的更多信息
2018-7-13
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
