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Active learning has the potential to save costs by intelligent use of resources in form of some expert's knowledge. Nevertheless, these methods are still not established in real-world applications as they can not be evaluated properly in the specific scenario because evaluation data is missing. In this article, we provide a summary of different evaluation methodologies by discussing them in terms of being reproducible, comparable, and realistic. A pilot study which compares the results ofdblp:conf/pkdd/KottkeCHKS17 fatcat:gb33hjl625gjdg6wa6rivfwhwy