In machine learning, which broad category encompasses both the tasks of classification and regression?

In machine learning, which broad category encompasses both the tasks of classification and regression?

• A. Unsupervised Learning
• B. Machine Learning
• C. Supervised Learning
• D. Incident Handling and Response

Answer: (C)

Classification and regression are both forms of supervised learning, where the model is trained on labeled input-output pairs to learn how inputs map to targets. In classification, the target is a discrete label, while in regression the target is a continuous value. This is what ties them together under supervised learning—the presence of known outputs during training. Unsupervised learning, on the other hand, works with unlabeled data to find structure in the inputs (like clustering or dimensionality reduction) and does not involve predicting specific outputs. Incident Handling and Response is not a machine learning category. So, the best fit is supervised learning.

Classification and regression are both forms of supervised learning, where the model is trained on labeled input-output pairs to learn how inputs map to targets. In classification, the target is a discrete label, while in regression the target is a continuous value. This is what ties them together under supervised learning—the presence of known outputs during training. Unsupervised learning, on the other hand, works with unlabeled data to find structure in the inputs (like clustering or dimensionality reduction) and does not involve predicting specific outputs. Incident Handling and Response is not a machine learning category. So, the best fit is supervised learning.