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Interpretable models lang #381

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04.1-interpretable-models lang fix
Etrama Jul 12, 2023
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Update 04.1-interpretable-models.Rmd
Etrama Jul 12, 2023
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4 changes: 2 additions & 2 deletions manuscript/04.1-interpretable-models.Rmd
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# Interpretable Models {#simple}

The easiest way to achieve interpretability is to use only a subset of algorithms that create interpretable models.
Linear regression, logistic regression and the decision tree are commonly used interpretable models.
Linear regression, logistic regression and the decision trees are commonly used interpretable models.

In the following chapters we will talk about these models.
Not in detail, only the basics, because there is already a ton of books, videos, tutorials, papers and more material available.
Not in detail, only the basics, because there are already a ton of books, videos, tutorials, papers and other materials available.
We will focus on how to interpret the models.
The book discusses [linear regression](#limo), [logistic regression](#logistic), [other linear regression extensions](#extend-lm), [decision trees](#tree), [decision rules](#rules) and [the RuleFit algorithm](#rulefit) in more detail.
It also lists [other interpretable models](#other-interpretable).
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