What work space values do i need to save separately to test Classification

When you're testing a classification model in MATLAB, you should save the following workspace values separately to ensure you have all the necessary components:

1. Trained Model: Save the trained classification model object.
   
   save('trainedModel.mat', 'trainedModel');
   

2. Test Data: Save the test features and test labels.
   
   save('testData.mat', 'X_test', 'Y_test');
   

3.Preprocessing Parameters: If you performed any preprocessing (e.g., normalization), save the parameters used for preprocessing.
   
   save('preprocessingParams.mat', 'mean_X', 'std_X');
   

4. Feature Selection: If you used feature selection, save the indices of the selected features.
   
   save('selectedFeatures.mat', 'selectedFeatureIndices');
   

5. Performance Metrics: Optionally, save any performance metrics you calculated.
   
   save('performanceMetrics.mat', 'accuracy', 'precision', 'recall');
   

By saving these key elements, you ensure that you can recreate the testing environment and validate the performance of your classification model.