Artificial Intelligence & Machine Learning
What is the name for a machine learning approach where models are trained on labeled input-output data?
Difficulty: Medium
About this MCQ
This Medium Artificial Intelligence & Machine Learning MCQ checks one syllabus fact.
The question is: “What is the name for a machine learning approach where models are trained on labeled input-output data?”
The accepted answer is A. Supervised learning. Supervised learning is the fact required by “What is the name for a machine learning approach where models are trained on labeled input-output data” (option A). Option B (“Deep learning”) does not match the stem; it is a near-miss used to catch incomplete recall of Supervised learning. Option C (“Regression”) does not match the stem; it is a near-miss used to catch incomplete recall of Supervised learning. Remaining alternatives (Unsupervised learning) fall outside the same rule and should be eliminated once Supervised learning is identified. Artificial Intelligence & Machine Learning questions of this type reward precise definitions rather than approximate associations. Artificial Intelligence & Machine Learning recall of this distinction is a regular item in FPSC, PPSC, NTS, and CSS papers.
- A. Supervised learning ✓
- B. Deep learning
Why not B: “Deep learning” is not correct. The accepted answer is A. Supervised learning. Supervised learning is the fact required by “What is the name for a machine learning approach where models are trained on labeled input-output data” (option A). Option B (“Deep lea
- C. Regression
Why not C: “Regression” is not correct. The accepted answer is A. Supervised learning. Supervised learning is the fact required by “What is the name for a machine learning approach where models are trained on labeled input-output data” (option A). Option B (“Deep lea
- D. Unsupervised learning
Why not D: “Unsupervised learning” is not correct. The accepted answer is A. Supervised learning. Supervised learning is the fact required by “What is the name for a machine learning approach where models are trained on labeled input-output data” (option A). Option B (“Deep lea
Correct answer
A. Supervised learning
Explanation
Supervised learning is the fact required by “What is the name for a machine learning approach where models are trained on labeled input-output data” (option A). Option B (“Deep learning”) does not match the stem; it is a near-miss used to catch incomplete recall of Supervised learning. Option C (“Regression”) does not match the stem; it is a near-miss used to catch incomplete recall of Supervised learning. Remaining alternatives (Unsupervised learning) fall outside the same rule and should be eliminated once Supervised learning is identified. Artificial Intelligence & Machine Learning questions of this type reward precise definitions rather than approximate associations. Artificial Intelligence & Machine Learning recall of this distinction is a regular item in FPSC, PPSC, NTS, and CSS pape...
Source: Artificial Intelligence & Machine Learning Official Reference Guide
Tags: computer science, AI, machine learning, data science
Submitted by: MCQsHub Editorial
Related MCQs
- Which term refers to a field of AI in which systems learn patterns from data to make predictions without expli...
- Identify the correct concept described as: a machine learning approach where models find patterns in data with...
- Unsupervised learning is best defined as which of the following?
- A computing model inspired by the human brain, composed of interconnected layers of nodes. What is this concep...
- Choose the correct description of Neural network.
- Which of the following best names the concept in which a modeling error where a model learns the training data...