Question

A manufacturing company wants to use ML to predict the number of days remaining before a factory machine is likely to fail, so maintenance can be scheduled in advance. The output they need is a continuous numeric value (days until failure). Which type of ML problem best fits this requirement?

Accepted Answer

Regression, because the model predicts a continuous numeric value

Answer

Binary classification, because the model predicts whether the machine will fail or not

Answer

Clustering, because the model groups similar machines together

Answer

Multi-class classification, because the model assigns each machine to a failure category