Case Study: A university has simple sensors that measure temperature, CO2, and how many people pass through hallways. These sensors send data to a cloud service. The cloud runs a model that predicts busy times so the ventilation can be turned on when needed. Staff can view short reports and download CSV files. Question: The team wants to predict if the hallway will be busy in the next hour using past sensor readings. Which approach is most suitable?

Question

Computer Science · Machine Learning

Verified Solution4 OptionsUpdated: October 2026👁️1 View

Share:

Correct answer

Train a basic supervised model (use past data and labels)

Save this question and verified answer as a clean study sheet with live clickable link.

👥

Challenge your peer aspirants on WhatsApp or Telegram to solve this question!

Online Test Series

Practice full-length mock tests with real exam timers, instant score analysis, and all-India ranking.

Chapter Practice

Want more practice questions on Machine Learning?

Solve complete topic-wise tests with detailed solutions on GkGet.

Recommended practice questions in Computer Science · Machine Learning

The Dandi March, also known as the Salt Satyagraha, was led by which influential leader?

Which act formally granted independence to India, marking the end of British rule?

Who was the key figure in establishing the Indian National Congress?

Answer 1

Create an AR app to show busy times

Answer 2

Only use a few hand-made rules

Answer 3

Build a blockchain system

Answer 4

Train a basic supervised model (use past data and labels)

Related Practice Questions