Global Surrogate Models in Machine Learning

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What is the purpose of a global surrogate model?

To simulate the black box model

To approximate the predictions of a black box model and provide interpretability (correct)

To replace the black box model

To train the black box model

What distinguishes surrogate models used in engineering from those used in interpretable machine learning?

The interpretability of the model

The underlying model is a machine learning model and the surrogate model must be interpretable (correct)

The time it takes to train the model

The complexity of the model

Why might a surrogate model be used in engineering?

If the data is too large

If the model needs to be interpretable

If an outcome is difficult to measure (correct)

If the model is too complex

What is a characteristic of a surrogate model in machine learning?

It approximates the predictions of the underlying model and is interpretable Signup and view all the answers

What is a common use of surrogate models?

To replace expensive or time-consuming measurements Signup and view all the answers

What is a barrier to the adoption of machine learning?

The lack of interpretable models Signup and view all the answers

What is the focus of the book?

On model-agnostic methods for interpreting black box models Signup and view all the answers

Which of the following methods is not used for interpreting black box models according to the book?

Genetic algorithms Signup and view all the answers

What does the book say about the interpretation methods?

They are explained in depth and discussed critically Signup and view all the answers

Which of the following models is not mentioned in the book as a simple, interpretable model?

Support Vector Machines Signup and view all the answers

Which of the following models is not interpretable on a modular level according to the text?

k-nearest neighbors method Signup and view all the answers

Which of the following is not a property of an interpretable model?

The model can predict future outcomes Signup and view all the answers

What does the text suggest about the content available on interpretable models?

There is a ton of books, videos, tutorials, papers and more material available Signup and view all the answers

Which of the following models is not mentioned in the text as being discussed in more detail in the book?

Neural networks Signup and view all the answers

What is a characteristic of a model that is linear according to the text?

The association between features and target is modelled Signup and view all the answers

What is the primary objective of Explainable AI (XAI)?

To help users understand the reasoning behind AI decisions Signup and view all the answers

Global Surrogate Models in Machine Learning

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Questions and Answers

What is the purpose of a global surrogate model?

What distinguishes surrogate models used in engineering from those used in interpretable machine learning?

Why might a surrogate model be used in engineering?

What is a characteristic of a surrogate model in machine learning?

What is a common use of surrogate models?

What is a barrier to the adoption of machine learning?

What is the focus of the book?

Which of the following methods is not used for interpreting black box models according to the book?

What does the book say about the interpretation methods?

Which of the following models is not mentioned in the book as a simple, interpretable model?

Which of the following models is not interpretable on a modular level according to the text?

Which of the following is not a property of an interpretable model?

What does the text suggest about the content available on interpretable models?

Which of the following models is not mentioned in the text as being discussed in more detail in the book?

What is a characteristic of a model that is linear according to the text?

What is the primary objective of Explainable AI (XAI)?

What does Explainable AI (XAI) contrast with in machine learning?

What can Explainable AI (XAI) potentially be an implementation of?

What does Explainable AI aim to unveil?

What can Explainable AI (XAI) help to generate?

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