Kizspy | Question: 50
(Choose 1 answer)
You have a dataset customer_data containing information about customers, including their age, income, and
whether they purchased a product (binary classification). You want to train a Support Vector Classifier (SVC)
with a linear kernel to predict whether a new customer will purchase the product based on their age and
income. You want to evaluate the performance of the trained SVC model. Which evaluation metric would be
most appropriate for this binary classification problem?
A. F1 Score
B. Mean Absolute Error (MAE)
C. R-squared
D. Mean Squared Error (MSE)
