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MLS-C01 · Question #110
MLS-C01 Question #110: Real Exam Question with Answer & Explanation
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Modeling
Question
A Data Scientist is developing a binary classifier to predict whether a patient has a particular disease on a series of test results. The Data Scientist has data on 400 patients randomly selected from the population. The disease is seen in 3% of the population. Which cross-validation strategy should the Data Scientist adopt?
Options
- AA k-fold cross-validation strategy with k=5
- BA stratified k-fold cross-validation strategy with k=5
- CA k-fold cross-validation strategy with k=5 and 3 repeats
- DAn 80/20 stratified split between training and validation
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Topics
#Cross-validation#Imbalanced data#Model evaluation#Stratified sampling