Papers by Stefano Mizzaro

1 papers
An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results (2020.acl-main)

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Challenge: Existing Ordinal Classification metrics ignore the ordering between items or assume additional information.
Approach: They propose a Closeness Evaluation Measure for Ordinal Classification based on Measurement Theory and Information Theory.
Outcome: The proposed metric captures quality aspects from different traditional tasks simultaneously.

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