Machine Learning Intermediate
outlier detection
The process of identifying outliers in a training set.
Plain English Explanation
The process of identifying outliers in a training set. Contrast with novelty detection.
How is it used?
Practitioners refer to outlier detection when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.