AIF-C01 Question 30
Single answerA retail company wants to predict whether a customer will purchase a product based on their browsing behavior on the company's website. Which machine learning technique is most appropriate for this use case?
- A
Regression
- B
Classification
- C
Clustering
- D
Reinforcement Learning
Show answer and explanation
Correct answer: B
Explanation
The goal in this scenario is to predict whether a customer will purchase a product, which is a binary categorical outcome ('yes' or 'no'). Classification techniques, such as logistic regression or decision trees, are designed to solve such problems by assigning data points to predefined categories. Therefore, classification is the most suitable machine learning technique for this use case.
- A. Incorrect.
Regression is used for predicting continuous numerical values, such as sales or temperature, which is not suitable for predicting a binary outcome like whether a customer will purchase a product.
- B. Correct.
Classification is used when the problem involves predicting a categorical outcome, such as 'purchase' or 'no purchase', making it the most appropriate technique for this use case.
- C. Incorrect.
Clustering is used for grouping similar items or data points together, such as segmenting customers into clusters, but it is not suitable for predicting a specific outcome like purchasing behavior.
- D. Incorrect.
Reinforcement Learning is used for training agents to make sequential decisions in an environment, such as training robots or playing video games, and is not relevant to predicting customer behavior.