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You are working with a small dataset and want to assess your model's performance. Your colleague recommends using k-fold cross-validation. However, you are concerned about the reliability of the evaluation. What cross-validation technique would be most appropriate for your small dataset?

While transforming extracted data to fit operational needs, which of the following operations is least likely to be performed?

You're working with a DataFrame df that contains the exam scores of students in three different classes: Math, Science, and History. You're interested in determining if the mean exam score significantly differs between these classes. What would be the most appropriate statistical test to use?

You have a DataFrame df that contains duplicate rows. Your task is to remove duplicates based on two columns: 'A' and 'B'. What is the correct line of code to remove such duplicates while keeping the first occurrence?

Which of the following cross-validation techniques is most appropriate when you are working with a dataset where the target variable's classes are imbalanced?