Decision Tree Image Classification

6 次查看（过去 30 天）
hendra kurnia febriawan
Hi All,
Currently, I am doing image classification using SVM and DT with the same training data and the same test image. The setting of SVM and DT used the default. There are four classes that I used (A, B, C, D). While in SVM training using Mdl = fitcecoc(trainset,class) it can classify all class, but in DT training using SVModelTree = fitctree(trainset,class) there are only three class A, C, D in the result and seems that the class B is classified as class C. Anycone can help me what causes of that? Thank you in advance.
Hend

请先登录，再回答此问题。

回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Image Data Workflows 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by