You have one-class support vector machines (SVMs).
You have a large dataset, but you do not have enough training time to fully test the model
What is an alternative method to validate the model?
A. Use Principal Components Analysis (PCA)-Based Anomaly Detection.
B. Replace the SVMs with two-class SVMs.
C. Perform feature selection,
D. Use outlier detection.
