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