AI-900 Question 89
Single answerA retail company wants to predict the future revenue of one of their stores based on factors such as foot traffic, seasonal trends, marketing spend, and weather conditions. Which type of machine learning scenario does this represent?
- A
Regression
- B
Classification
- C
Clustering
- D
Reinforcement Learning
Show answer and explanation
Correct answer: A
Explanation
This scenario involves predicting a continuous numerical value (future revenue), which is a classic example of a regression machine learning task. Regression models can take input features such as foot traffic, seasonal data, and weather to predict outcomes like revenue. Other approaches like classification, clustering, or reinforcement learning are not suited to this type of problem.
- A. Correct.
Correct: Regression is used to predict continuous values, such as revenue, based on numerical input data and relationships among features.
- B. Incorrect.
Incorrect: Classification is used for categorizing data into discrete classes, which is not applicable when predicting continuous numerical values like revenue.
- C. Incorrect.
Incorrect: Clustering is used to group data into clusters based on similarity, and it does not involve predicting a continuous value.
- D. Incorrect.
Incorrect: Reinforcement Learning is used for training agents to make sequential decisions, and it is not applicable for predicting continuous outcomes like revenue.