Enhancing Weak Nodes in Decision Tree Algorithm Using Data Augmentation
Decision trees are among the most popular classifiers in machine learning, artificial intelligence, and pattern recognition because they are accurate and easy to interpret. During the tree construction, a node containing too few observations (weak node) could still get split, and then the resulted s...
Tallennettuna:
| Päätekijät: | , , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Sciendo
2022-06-01
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| Sarja: | Cybernetics and Information Technologies |
| Aiheet: | |
| Linkit: | https://doi.org/10.2478/cait-2022-0016 |
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