Issue with the output of 'Classificaion learner app'

Below I have attached two screenshots of the output of Classification learner app. I am trying to train optimizable SVM classifier for image classification with the image features obtained from a feature extractor. As you can see in the attched pictures In the 'summary' section optimized Hyperparameters are different than those obtained in 'Min classification error plot'. Which one is correct? or both are wrong? This post from MATLAB seems to imply that values obtained in both the places should be same (see pics in the link).

I have highlighted both outputs in two different window screenshots.

[Image Analyst]

How did you produce the bottom screenshot?

[SATISH SONWANE]

@Image Analyst Bottom screenshot is the output of Min Classification error plot. I chose optimisable SVM and got this output. Top screenshot is the output of same exercise in the Summary tab.

[SATISH SONWANE]

@Image Analyst can you answer this for me?

[Image Analyst]

No. You should call tech support and ask them.

Answer 1

[Drew]

This is fixed in R2022b.