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

Question

Quizplus · Accepted Answer

Stratified k-fold cross-validation ensures that the distribution of the target variable is preserved in each fold, which is important when the target variable is imbalanced.

A Data Scientist Is Developing a Binary Classifier to Predict