Variable Importance Analysis in Imbalanced Datasets: A New Approach

Variable Importance Analysis in Imbalanced Datasets: A New Approach

Decision-making using machine learning requires a deep understanding of the model under analysis. Variable importance analysis provides the tools to assess the importance of input variables when dealing with complex interactions, making the machine learning model more interpretable and computational...

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Bibliographic Details
Main Authors: Ismael Ahrazem Dfuf, Joaquin Forte Perez-Minayo, Jose Manuel Mira Mcwilliams, Camino Gonzalez Fernandez
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Covid-19 pandemic
electricity market
global sensitivity analysis
multiclass classification problem
multivariate response scenario
variable importance analysis
Online Access:https://ieeexplore.ieee.org/document/9138401/

Internet

https://ieeexplore.ieee.org/document/9138401/

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