Artificial Intelligence & Machine Learning
Which of the following best describes Regression?
Difficulty: Medium
About this MCQ
This Medium Artificial Intelligence & Machine Learning MCQ checks one syllabus fact.
The question is: “Which of the following best describes Regression?”
The accepted answer is C. A supervised learning task that predicts a continuous numerical value.. Regression refers to a supervised learning task that predicts a continuous numerical value.
- A. An optimization algorithm used to minimize a model's error by iteratively adjusting its parameters.
Why not A: “An optimization algorithm used to minimize a model's error by iteratively adjusting its parameters.” is not correct. The accepted answer is C. A supervised learning task that predicts a continuous numerical value.. Regression refers to a supervised learning task that predicts a continuous numerical value.
- B. The dataset used to teach a machine learning model to recognize patterns.
Why not B: “The dataset used to teach a machine learning model to recognize patterns.” is not correct. The accepted answer is C. A supervised learning task that predicts a continuous numerical value.. Regression refers to a supervised learning task that predicts a continuous numerical value.
- C. A supervised learning task that predicts a continuous numerical value. ✓
- D. A machine learning approach where models find patterns in data without labeled outputs.
Why not D: “A machine learning approach where models find patterns in data without labeled outputs.” is not correct. The accepted answer is C. A supervised learning task that predicts a continuous numerical value.. Regression refers to a supervised learning task that predicts a continuous numerical value.
Correct answer
C. A supervised learning task that predicts a continuous numerical value.
Explanation
Regression refers to a supervised learning task that predicts a continuous numerical value.
Source: Artificial Intelligence & Machine Learning Official Reference Guide
Tags: computer science, AI, machine learning, data science
Submitted by: MCQsHub Editorial
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