The Use of Hyperparameter Tuning in Model Classification: A Scientific Work Area Identification
This research aims to investigate the effectiveness of hyperparameter tuning, particularly using Optuna, in enhancing the classification performance of machine learning models on scientific work reviews. The study focuses on automating the classification of academic papers into eight distinct fields...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Society of Visual Informatics
2024-12-01
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| シリーズ: | JOIV: International Journal on Informatics Visualization |
| 主題: | |
| オンライン･アクセス: | https://joiv.org/index.php/joiv/article/view/3092 |
| タグ: |
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