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.