Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method

HIGHLIGHTS

  • who: Kerstin Lenhof from the Center for BioinformaticsSaarland University have published the article: Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method, in the Journal: Scientific Reports Scientific Reports
  • what: The authors show how regression and class imbalance affect the performance of ML methods. The authors assess the quality of all models as follows: For each compound, the authors divide the data into a training (80%) and a test set (20%). The authors propose to weight the trees as follows: If a sample is predicted to be sensitive, then the . . .

     

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