A Novel Hyperparameter-Free Approach to Decision Tree Construction That Avoids Overfitting by Design
Decision trees are an extremely popular machine learning technique. Unfortunately, overfitting in decision trees still remains an open issue that sometimes prevents achieving good performance. In this paper, we present a novel approach for the construction of decision trees that avoids the overfitti...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8767915/ |