Christin Seifert

How Accurate Does It Feel? - Human Perception of Different Types of Classification Mistakes

Supervised machine learning utilizes large datasets, often with ground truth labels annotated by humans. While some data points are easy to classify, others are hard to classify, which reduces the inter-annotator agreement. This causes noise for the classifier and might affect the user's perception of the classifier's…