Model Evaluation & Metrics
Huber Loss
A loss function that’s quadratic for small errors and linear for large errors, robust to outliers.
This concept is essential for understanding model evaluation & metrics and forms a key part of modern AI systems.
Related Concepts
- Loss Function
- Regression
- Robustness
Tags
model-evaluation-metrics loss-function regression robustness
Related Terms
Loss Function
A function measuring the difference between model predictions and true values, guiding the training process.
Regression
A supervised learning task where the model predicts continuous numerical values rather than discrete categories.
Robustness
A model's ability to maintain performance under distribution shifts, adversarial attacks, or noisy inputs.