Data Visualization
Feature space is a multi-dimensional space where each dimension corresponds to a feature (or attribute) of the data being analyzed. In this context, it represents the set of all possible values for these features, allowing for visualization and analysis of the relationships between different data points. Understanding feature space is crucial for tasks like feature selection and extraction methods, as it aids in identifying the most relevant features that contribute to the predictive performance of a model.
congrats on reading the definition of Feature Space. now let's actually learn it.