1. Which of the following is false regarding classification?

Classification is an unsupervised learning technique.

Classification is a supervised learning technique.

Classification is another term for decision tree.

2. A marketer would like to use attributes of customers (income, age, marital status, number of children…) to find out possible new ways to segment the market of her company. Which of the following data mining techniques should this marketer use?

Regression

Clustering

Nearest neighbor

3. A banker would like to use attributes of customers (income, age, credit history, marital status, number of children…) to find out which customer is likely to default on a loan. Which of the following data mining techniques should this banker use?

Classification

Clustering

Nearest neighbor

4. A supermarket has information about the buying behaviors of its customers (products purchased, amount spent on different products, address…) through a loyalty card program. Which of the following data mining techniques is the most appropriate to identify groups of customers with similar buying behaviors?

Clustering

Classification

Classification