# Tuning SVM C parameter

I would like to ask for help regarding my model.

I have a dataset of preprocessed images and I performed a binary classification with SVM on Python. I tuned the value of the c parameter from 0.001 to 1 with 10-fold CV and I obtained the following results.

My questions are:

• Does this mean that the optimal value of C is 0.001?

• The rest means that there is overfitting?

The first value is not 0.000 but 0.001

Thank you.

Essentially, you only want to look at your test accuracy. The training accuracy is only relevant in comparison with the test accuracy. In your situation, it seems that your test accuracy is roughly the same across the board beside a slight peak around 0.620. So I would pick this as the best value for C.