Explainabilty comparison between random forests and neural networks—case study of amino acid volume prediction

HIGHLIGHTS

• who: Roberta De Fazio and colleagues from the , Caserta, Italy have published the paper: Explainabilty Comparison between Random Forests and Neural Networksu2014Case Study of Amino Acid Volume Prediction, in the Journal: Information 2023, 14, 21. of 28/Dec/2022
• what: The aim of the paper is to report an experience in comparing two of the most widespread ML models under the lens of explainability. The approach followed in this paper is different, preferring to focus on the reporting of a practical but repeatable experience in comparing off-the-shelf methods and technologies, rather than defining . . .
  

   

  

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