What is the primary difference between classification and regression in machine learning?
- Classification and regression are essentially the same thing.
- Classification is used for predicting categorical outcomes, while regression is used for predicting numeric outcomes.
- Classification is used for predicting numeric outcomes, while regression is used for predicting categorical outcomes.
- Regression is only used for unsupervised learning tasks.
The primary difference is that classification is used for predicting categorical outcomes (e.g., class labels), while regression is used for predicting numeric outcomes (e.g., quantity). Classification answers questions like "Is this email spam or not?" whereas regression answers questions like "How much will the house sell for?"
Loading...
Related Quiz
- Power BI's _________ feature is essential for integrating AI and machine learning models into reports and dashboards.
- What is the purpose of the apply() function in R?
- When presented with data showing declining sales, what critical thinking steps should a manager take to address this issue effectively?
- What function would you use to combine text from two different cells into one cell?
- The _______ project allows SQL-like queries to be executed on various data sources including Hadoop and NoSQL databases.