A Data Scientist Is Developing a Binary Classifier to Predict

Multiple Choice

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?

A) A k-fold cross-validation strategy with k=5
B) A stratified k-fold cross-validation strategy with k=5
C) A k-fold cross-validation strategy with k=5 and 3 repeats
D) An 80/20 stratified split between training and validation