Leveraging machine learning tools and algorithms for analysis of fruit fly morphometrics

HIGHLIGHTS

• who: Daisy Salifu from the Department Jomo Kenyatta University of have published the paper: Leveraging machine learning tools and algorithms for analysis of fruit fly morphometrics, in the Journal: Scientific Reports Scientific Reports of 20/04/2022
• what: The aim of this study is therefore to assess the predictive performance of four modern machine_learning classifiers; K-nearest neighbor (KNN), random forest (RF), support vector machine (SVM) and artificial neural_network (ANN) on morphometric measurements on fruit fly, Bactrocera spp and determine the variable importance (VI) of predictor variables. Three SVM classifier models were implemented; linear kernel . . .
  

   

  

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