Outlier Removal
Domain: Data & Datasets
🎯 Motivation
Removing data points that are very different from the rest. Outliers can mislead the model.
📋 Concrete Example
Outlier: one article is 500 pages (average is 2 pages). Remove it - it would skew training. Outlier removal keeps the dataset consistent.
🔗 Analogy
Removing a score of 0 from a test where everyone else scored 80-100 - the 0 is an outlier that would skew the average. Outlier removal keeps data consistent.