Microsoft Azure AI Fundamentals (AI-900) Practice Exam

Is mass (kg) considered a feature in machine learning?

1. Yes

2. No

3. Sometimes

4. Not applicable

The correct answer is: Yes

Mass, measured in kilograms, is indeed considered a feature in machine learning models. Features are the individual measurable properties or characteristics used by algorithms to make predictions or classifications. In the context of a machine learning task, mass can play a crucial role depending on the problem being addressed. For instance, if a model is designed to predict an object’s weight, material properties, or its motion dynamics, mass becomes a significant feature. By incorporating mass into the dataset, the model can learn relationships between mass and the target variable, thereby improving its predictive accuracy. For example, in a regression model predicting the load capacity of a vehicle, mass could be a key factor affecting the outcome. The context of a specific use case determines whether mass is relevant or not, but generally, it qualifies as a feature since it is a quantifiable characteristic that contributes to the understanding of the data.