Question 5
Domain 1 — AI Concepts, Terminology, and Use CasesIn machine learning, what is a labeled dataset used for?
Correct answer: B
Explanation
A labeled dataset contains input examples paired with known target outputs, which is the defining requirement for "supervised learning." The model uses these labels to learn the mapping from features to outcomes and to measure prediction error during training.
Why each option is right or wrong
A. For unsupervised learning
B. For supervised learning
A labeled dataset contains examples where each input is paired with a known target value, which is the defining setup for supervised learning. In this training regime, the algorithm compares its predictions against those known labels to compute error and adjust parameters accordingly; without labels, that supervised objective cannot be formed.
C. To store neural network data
D. To enhance hardware performance