Microsoft Azure AI Fundamentals (AI-900) Practice Exam

Is temperature (C) considered a label in machine learning?

1. Yes

2. No

3. Only in regression

4. Depends on data type

The correct answer is: No

In machine learning, a label typically refers to the output or the target variable that a model is trying to predict. Labels are usually categorical in nature, such as 'spam' or 'not spam' in a classification problem. In the context of the question, temperature measured in degrees Celsius is a continuous numerical value rather than a categorical one. Therefore, temperature is not considered a label in machine learning because it serves as input data rather than the desired target for prediction. This input can be used to predict other outcomes in a regression scenario but does not classify or categorize data itself. The classification of temperature as an input rather than a label highlights its role in numerical analysis and modeling rather than as a discrete output generated by a machine learning model. In summary, since temperature is a continuous variable and not a predefined output category, it does not fit the definition of a label in machine learning contexts.