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Quantitative Methods
Quantitative Methods
Medium
K-fold cross-validation improves on a simple train/test split primarily because it:
A
Uses all data points for both training and validation across different folds, reducing estimation variance
B
Eliminates the need for a separate test set entirely
C
Guarantees that the model will not overfit on any fold
D
Automatically selects the optimal number of features for the model
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Tags
#cross-validation
#k-fold
#model-evaluation
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CFA Level II — Quantitative Methods Practice Question | AcadiFi | AcadiFi