Evaluation measures for hierarchical classification: a unified view and novel approaches

• Published in: Data mining and knowledge discovery Vol. 29; no. 3; pp. 820 - 865
• Main Authors: Kosmopoulos, Aris, Partalas, Ioannis, Gaussier, Eric, Paliouras, Georgios, Androutsopoulos, Ion
• Format: Journal Article
• Language: English
• Published: Boston Springer US 01.05.2015; Springer Nature B.V; Springer
• Subjects: Algorithms; Artificial Intelligence; Chemistry and Earth Sciences; Classification; Computer Science; Data mining; Data Mining and Knowledge Discovery; Empirical analysis; Hierarchies; Information Storage and Retrieval; Machine Learning; Physics; State of the art; Statistics for Engineering; Taxonomy; Texts; Evaluation; Evaluation measures; Hierarchical classification; Tree-structured class hierarchies; DAG-structured class hierarchies

Hierarchical classification addresses the problem of classifying items into a hierarchy of classes. An important issue in hierarchical classification is the evaluation of different classification algorithms, an issue which is complicated by the hierarchical relations among the classes. Several evalu...