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.