Answer-first summary for fast verification
Answer: When computation time and resources are limited
A Train-Test Split is preferable over Cross-Validation in scenarios where computation time and resources are constrained. This is because Cross-Validation involves running the training algorithm multiple times (k times), significantly increasing computational demands and time, especially for large datasets or complex models. Thus, a Train-Test Split serves as a more efficient alternative under such constraints.
Author: LeetQuiz Editorial Team
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When is a single Train-Test Split more advantageous than Cross-Validation?
A
When the dataset is imbalanced
B
When the goal is to maximize model performance
C
When computation time and resources are limited
D
When the goal is to ensure model stability and generalization
E
None of the above
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