BenchMark Quizzes by MDFT Pro

Define Classification In Machine Learning

Mark, the Analytics Manager at MDFT Pro, is designing a machine learning system to automatically categorize student feedback and course evaluations. MDFT Pro, a well-known training agency, receives thousands of student comments and reviews each month that need to be sorted into different categories such as “Course Content,” “Instructor Quality,” “Technical Issues,” and “Facility Feedback.” Mark needs to understand the appropriate machine learning approach that can learn from historical labeled examples of student feedback to automatically classify new incoming reviews into these predefined categories.

What type of machine learning approach should Mark use for this categorization task?

Choose the correct answer from the options below.

Explanations for each answer:

A supervised model for predicting numeric values is incorrect. This describes regression, not classification. Regression predicts continuous numeric values like prices or temperatures.
A supervised model for predicting categories is correct. Classification is a supervised learning technique that predicts discrete categories or classes, such as pass/fail, spam/not spam, or student performance levels.
An unsupervised model for grouping similar entities is incorrect. This describes clustering, an unsupervised technique that groups similar data points without predefined categories.
A reinforcement model for decision optimization is incorrect. Reinforcement learning involves training agents through rewards and penalties, not predicting categories from labeled training data.

Learn more about classification:

Machine Learning Classification

Exam Preparation Quiz

Define Classification In Machine Learning