A New Splitting Criterion for Better Interpretable Trees
A new splitting criterion for classification trees that generates better decision rules in terms of interpretability is proposed in this paper. The criterion is designed to find homogeneous rules that describe a significant number of instances with a short length. The proposed criterion considers on...
I tiakina i:
| Ngā kaituhi matua: | , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
IEEE
2020-01-01
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| Rangatū: | IEEE Access |
| Ngā marau: | |
| Urunga tuihono: | https://ieeexplore.ieee.org/document/9054987/ |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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