Explainabilty Comparison between Random Forests and Neural Networks—Case Study of Amino Acid Volume Prediction

Explainabilty Comparison between Random Forests and Neural Networks—Case Study of Amino Acid Volume Prediction

As explainability seems to be the driver for a wiser adoption of Artificial Intelligence in healthcare and in critical applications, in general, a comprehensive study of this field is far from being completed. On one hand, a final definition and theoretical measurements of explainability have not be...

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Bibliographic Details
Main Authors: Roberta De Fazio, Rosy Di Giovannantonio, Emanuele Bellini, Stefano Marrone
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Information
Subjects:
random forest
multi-layer perceptron
explainable AI
protein data bank
neural network
machine learning
Online Access:https://www.mdpi.com/2078-2489/14/1/21

Internet

https://www.mdpi.com/2078-2489/14/1/21

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