Browsing by Subject "Decision Trees, Instance Reduction, Noise filtering, Overfitting, Pruning"

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    • Instance Reduction for Avoiding Overfitting in Decision Trees 

      Amro, Asma’; Al-Akhras, Mousa; El Hindi, Khalil; Habib, Mohamed; AbuShawar, Bayan (De Gruyter Open Ltd, 2021)
      Decision trees learning is one of the most practical classification methods in machine learning, which is used for approximating discrete-valued target functions. However, they may overfit the training data, which limits ...