Pros and cons of one-vs-one and one-vs-rest strategies for multiclass classification.

<p>Pros and cons of one-vs-one and one-vs-rest strategies for multiclass classification.</p>

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Bibliographic Details
Main Author:	Arta Misini (19929042) (author)
Other Authors:	Ercan Canhasi (17457899) (author), Arbana Kadriu (19929045) (author), Endrit Fetahi (19929048) (author)
Published:	2024
Subjects:	Sociology Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified newly compiled corpus natural language processing deep learning models automatic authorship attribution examining present methods authorship attribution task best overall performance albanian authorship attribution albanian newsroom columns authorship attribution newsroom columns learning methods detecting authorship challenging task best combination attributing authorship albanian writings xgboost demonstrated various algorithms valuable resource study provides specific scenarios robust framework resource languages progress made methods used literary works investigation focuses future research findings contribute f1 score extensive research effective methods different scenarios conclusions drawn classification methods careful analysis analyze machine
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