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Quantifying Interpretability of Arbitrary Machine Learning Models Through Functional Decomposition.
Christoph Molnar
Giuseppe Casalicchio
Bernd Bischl
Published in:
CoRR (2019)
Keyphrases
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machine learning models
functional decomposition
spam filtering
machine learning algorithms
machine learning approaches
logic circuits
boolean functions
digital circuits
learning models
low power
predictive model
finite state machines
prediction accuracy
feature space
low cost
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pairwise