Evaluation

How Knowledge-Driven Class Generalization Affects Classical Machine Learning Algorithms for Mono-label Supervised Classification
Beyond class imbalance and the sample size per class, this research paper studies the effect of knowledge-driven class generalization …
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Knowledge-Based Construction of Confusion Matrices for Multi-Label Classification Algorithms using Semantic Similarity Measures
So far, multi-label classification algorithms have been evaluated using statistical methods that do not consider the semantics of the …
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