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Interpreting Classification Models Using Feature Importance Based on Marginal Local Effects.
Rogério Luiz Cardoso Silva Filho
Paulo Jorge Leitão Adeodato
Kellyton dos Santos Brito
Published in:
BRACIS (1) (2021)
Keyphrases
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classification models
feature importance
feature selection
random forest
decision trees
feature set
software quality classification
training data
models built
attribute selection
relevance feedback
text categorization
neural network
text classification
benchmark datasets
knn
active learning
learned models