Kizspy | Question: 44
(Choose 1 answer)
You are training an SVC classifier on a dataset with 1000 samples and 20 features. You decide to use grid
search to find the best C value for the SVC classifier. You specify a range of C values to search over, including
[0.1, 1, 10, 100, 1000]. You perform grid search with 5-fold cross-validation to find the best C value. After grid
search, you find that the best C value is 10. What does this indicate about the regularization strength of the
SVC classifier?
A. Low regularization strength
B. High regularization strength
C. No regularization applied
D. No conclusion can be drawn from the best C value
