AI-900 · Question #48
What is a Use Case for classification?
The correct answer is B. Predicting if someone will walk to office from home based on the outside weather and the. Classification models predict a categorical outcome, assigning data points to predefined classes. Predicting whether someone will walk to the office (a binary yes/no outcome) based on weather is a classic classification use case.
Question
Options
- APaleontologist collecting bone samples and grouping them that have a similar structure
- BPredicting if someone will walk to office from home based on the outside weather and the
- CPredicting the shelf life of a cookie-based on the oven temperature where the cookie was baked.
- DPredicting how many minutes a flight will be delayed based on weather data.
How the community answered
(37 responses)- A8% (3)
- B78% (29)
- C3% (1)
- D11% (4)
Why each option
Classification models predict a categorical outcome, assigning data points to predefined classes. Predicting whether someone will walk to the office (a binary yes/no outcome) based on weather is a classic classification use case.
Grouping bone samples based on similar structures without predefined labels is an example of clustering, which is an unsupervised learning technique, not classification.
Predicting if someone will walk to the office (a binary outcome: 'walk' or 'not walk') is a classification task, as the model assigns an input (weather data) to one of two predefined categories. This fits the definition of classification, which deals with predicting discrete labels.
Predicting the shelf life of a cookie involves predicting a continuous numerical value (e.g., number of days), which is a regression task, not classification.
Predicting how many minutes a flight will be delayed involves predicting a continuous numerical value, which is a regression task, not classification.
Concept tested: Classification use cases
Source: https://learn.microsoft.com/en-us/azure/machine-learning/concept-ml-pipelines?view=azureml-api-2#classification
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