The Random Linear Classifier is a simple baseline algorithm used in machine learning for classification tasks. Instead of learning optimal parameters through training, it generates random weights and uses them to classify input data.
While not useful for production, it is valuable for:
- Understanding linear decision boundaries
- Debugging data pipelines
- Establishing baseline performance