Which of the following is NOT a typical use case for supervised learning?
Practice Questions
Q1
Which of the following is NOT a typical use case for supervised learning?
Email filtering
Customer churn prediction
Market basket analysis
Credit scoring
Questions & Step-by-Step Solutions
Which of the following is NOT a typical use case for supervised learning?
Step 1: Understand what supervised learning is. It is a type of machine learning where the model is trained on labeled data, meaning the input data has corresponding output labels.
Step 2: Identify typical use cases for supervised learning. Common examples include classification tasks (like spam detection) and regression tasks (like predicting house prices).
Step 3: Understand what unsupervised learning is. This type of machine learning deals with data that does not have labeled outputs, and it is used to find patterns or groupings in the data.
Step 4: Recognize that market basket analysis is an example of unsupervised learning. It looks at customer purchase patterns without predefined labels.
Step 5: Compare the options given in the question. Identify which one is not a typical use case for supervised learning.
Step 6: Conclude that market basket analysis is the correct answer, as it is not a supervised learning task.
