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...
Main Authors: | Ismael Ahrazem Dfuf, Joaquin Forte Perez-Minayo, Jose Manuel Mira Mcwilliams, Camino Gonzalez Fernandez |
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Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9138401/ |
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