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Interpretability Methods in Machine Learning

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Turing
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Frequently Asked Questions

What are different linear models?

These include linear regression, logistic regression, Lasso, etc.

What is a major disadvantage of using SHAP?

The computational cost of implementing SHAP increases with an increase in the number of features.

What are the other techniques of ML model interpretability?

Other than the three techniques mentioned in the article, a few other methods include permuted feature importance, Individual Conditional Expectation (ICE), and partial dependence plot (PDP).

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