AI-900 Question 91
Single answerA company wants to develop a system that can automatically determine whether incoming customer support emails are 'Spam' or 'Not Spam'. Which type of machine learning scenario does this represent?
- A
Regression
- B
Clustering
- C
Classification
- D
Reinforcement Learning
Show answer and explanation
Correct answer: C
Explanation
The task of determining whether an email is 'Spam' or 'Not Spam' involves assigning one of two predefined labels to the data. This is a classic example of a classification machine learning scenario, where the algorithm learns from labeled training data to make predictions for new data.
- A. Incorrect.
Regression is used to predict continuous numerical values, such as predicting house prices or stock market trends. It is not suitable for categorizing emails into discrete categories such as 'Spam' or 'Not Spam'.
- B. Incorrect.
Clustering groups data into clusters based on similarity without predefined labels. It is not applicable when the task involves predefined categories like 'Spam' and 'Not Spam'.
- C. Correct.
Classification is used to categorize data into predefined categories, such as 'Spam' or 'Not Spam'. This is the correct scenario for this task.
- D. Incorrect.
Reinforcement Learning involves training an agent to make sequential decisions based on rewards. It is not related to categorizing emails into predefined categories.