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A Comparative Study of Hybrid Fault-Prone Module Prediction Models Using Association Rule and Random Forest.

Shinnosuke IrieHirohisa AmanSousuke AmasakiTomoyuki YokogawaMinoru Kawahara
Published in: WSSE (2023)
Keyphrases
  • random forest
  • association rules
  • decision trees
  • prediction accuracy
  • data mining
  • neural network
  • machine learning
  • image segmentation
  • object oriented
  • source code
  • ensemble classifier