Decision Trees
AI Infrastructure
A plot showing how a classification model separates different classes in feature space.
Detailed Explanation
Decision Boundary Visualization illustrates how a classification model divides the feature space to distinguish between classes. It maps the regions where the model predicts each class, typically using colored plots or contours. This helps in understanding the model’s decision-making process, assessing its accuracy, and identifying areas of uncertainty or misclassification.
Use Cases
- •Use case: Visualize model separation to evaluate classifier performance and interpret decision regions in complex feature spaces.
Related Terms
Other terms in the AI Infrastructure category