Predictions ML Quiz

Quiz covering Enrichment and Insights

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

1. 1

   In the context of customer insights, what is the primary purpose of a predictive model?

2. 2

   When building a model to predict customer churn, which of the following is considered a 'feature' rather than a 'target'?

3. 3

   Why is it important to split your dataset into 'training' and 'testing' sets when developing a machine learning model?

4. 4

   Which of the following scenarios best describes a 'Propensity Model' in customer insights?

5. 5

   You notice your predictive model has high accuracy on the training data but performs very poorly on the validation/test data. What is the most likely cause of this issue?