A common task in supervised learning where the output variable is categorical, such as 'spam' or 'not spam', is called _______.
- Classification
- Regression
- Clustering
- Association
The correct term is "Classification." In supervised learning, the goal is to predict a categorical output variable based on input features. Common examples include classifying emails as 'spam' or 'not spam' (binary classification) or classifying objects into multiple categories (multi-class classification). Classification models aim to assign inputs to predefined categories, making it an essential task in supervised learning.
Loading...
Related Quiz
- Text data from social media platforms, such as tweets or Facebook posts, is an example of which type of data?
- An e-commerce platform wants to store the activities and interactions of users in real-time. The data is not structured, and the schema might evolve. Which database is apt for this scenario?
- The metric _______ is particularly useful when the cost of false positives is higher than false negatives.
- Which role in Data Science primarily focuses on collecting, storing, and processing large datasets efficiently?
- You are building a movie recommender system, and you want it to suggest movies based on the content or features of the movies. Which type of recommendation approach are you leaning towards?