Hilali Moh’d, Fatma, IPB University, Indonesia

• Vol 13, No 4: December 2024 - General AI Applications
  Enhancing interpretability in random forest: Leveraging inTrees for association rule extraction insights
  Abstract  PDF

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IAES International Journal of Artificial Intelligence (IJ-AI)
ISSN/e-ISSN 2089-4872/2252-8938 
This journal is published by the Institute of Advanced Engineering and Science (IAES).

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