Regarding usage of classifier in case of imbalance data

2 次查看（过去 30 天）

varinder kaur 2018-7-14

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/410342-regarding-usage-of-classifier-in-case-of-imbalance-data

评论： Rocío García Mojón 2023-3-21

I have images database consisting of four classes, but highly imbalanced. One class contains 150 images other 1500, 1800,1000. which classifier can be used to get efficient results for classification. How can i divide these images into training and testing. Kindly help

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

请先登录，再回答此问题。

采纳的回答

Image Analyst 2018-7-14

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/410342-regarding-usage-of-classifier-in-case-of-imbalance-data#answer_328843

You can use randsample() or randperm() to get a list of 120 (80% of the smallest group) from each of the 4 groups. Use those 480 images for training, and the rest for testing/validation of the model.

4 个评论
显示 2更早的评论隐藏 2更早的评论

varinder kaur 2018-7-15

Thanks Image Analyst for the answer

Rocío García Mojón 2023-3-21

Hi, I have a similar problem to varinder kaur. I have a photo type database and these are unbalanced. It is about medical images. On one side, I have 655 pictures of the healthy type and 16000 of the diseased type. I would like to increase the number of pictures in the minority group, but so far I have not found a good way to do it.

Thanks in advance

Regards

请先登录，再进行评论。