Accuracy of Decision tree

Hi, How to compute an accuracy of decision tree using cross validation model?

,and can i use classpref method on it.

Answer 1

[Vidip]

I understand that you want to compute an accuracy of decision tree using cross validation model. In MATLAB, you can compute the accuracy of a decision tree model using cross-validation and evaluate it using different metrics, including the ‘classperf’ method. You can follow the below steps:

1. Create a Decision Tree: Use fitctree to create a decision tree model.
2. Cross-Validation: Use crossval for k-fold cross-validation.
3. You can compute accuracy using the kfoldLoss method.
4. For more detailed classification performance metrics, you can use the classperf method.

For further information, refer to the documentation links below:

• https://www.mathworks.com/help/stats/fitctree.html
• https://www.mathworks.com/help/stats/classreg.learning.partition.classificationpartitionedecoc.kfoldloss.html
• https://www.mathworks.com/help/stats/crossval.html
• https://www.mathworks.com/help/bioinfo/ref/classperf.html