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LinearBoost is a classification algorithm that is designed to boost a linear classifier algorithm named SEFR. It is an efficient classification algorithm that can result in state-of-the-art accuracy and F1 score. It has the following advantages:
The paper is written by Hamidreza Keshavarz (Independent Researcher based in Berlin) and Reza Rawassizadeh (Department of Computer Science, Metropolitan college, Boston University, United States). It will be available soon.
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