In supervised learning, what is the role of a 'feature'?
- A characteristic or attribute of the input data that is used for making predictions.
- A measure of model performance.
- The output or result of the predictive model.
- The target variable.
In supervised learning, a 'feature' refers to a characteristic or attribute of the input data that is used by the model to make predictions. Features are the variables or dimensions that the algorithm analyzes to understand patterns and relationships.
Loading...
Related Quiz
- The _________ feature in Power BI allows for the creation of complex data models and relationships.
- How does a treemap visualization uniquely represent data compared to a traditional bar chart?
- The term _______ refers to the automated improvement of machine learning models through experience.
- A retail company wants to predict future customer churn. What type of predictive model would be most appropriate?
- In SQL, the ________ function is used to return the number of rows that match a specified criterion.