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An empirical study of the classification performance of learners on imbalanced and noisy software quality data.

Chris SeiffertTaghi M. KhoshgoftaarJason Van HulseAndres Folleco
Published in: Inf. Sci. (2014)
Keyphrases
  • data sets
  • database
  • raw data
  • decision trees
  • training data
  • feature space
  • missing data
  • software quality
  • databases
  • feature vectors
  • classification accuracy
  • object oriented
  • open source