interpretability

USAGE SUMMARY

The phrase "interpretability" is correct and usable in written English.
It is typically used in contexts related to understanding or explaining the meaning of something, often in fields like data science, machine learning, or philosophy. Example: "The interpretability of the model is crucial for ensuring that stakeholders can trust its predictions."

✓ Grammatically correct

Science

Encyclopedias

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

The equivalence class of all theories mutually interpretable with T is called the interpretability degree of T. The interpretability hierarchy is the collection of all theories ordered under the relation ≤.

SEP

The informal notion of interpretability is ubiquitous in mathematics; for example, Poincaré provided an interpretation of two dimensional hyperbolic geometry in the Euclidean geometry of the unit circle; Dedekind provided an interpretation of analysis in set theory; and Gödel provided an interpretation of the theory of formal syntax in arithmetic.

SEP

How is this multiple interpretability achieved?

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In this section we will (1) introduce the interpretability hierarchy, (2) briefly discuss the incompleteness phenomenon, (3) sharpen the question of pluralism, and (4) bring out the philosophical issues involved by briefly discussing the nature of axioms and the nature of justification in mathematics.

SEP

As one climbs the interpretability degrees the minimal points generally become less evident and so one seeks additional support.

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The question of pluralism in its most general formulation is the question of whether there is a correct path through the hierarchy of interpretability or whether instead a multitude of mutually incompatible theories must be admitted as equally legitimate from the point of view of theoretical reason and mathematical truth.

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(2) Is finding a minimal point in the evidentness order (of a given interpretability degree) the most one could hope for or are there other, more subtle ways of accumulating evidence for axioms, ways that might further buttress even the minimal points in the evidentness order (of a given interpretability degree)?

SEP

Further Reading: For a more detailed account of the interpretability hierarchy see the entry "Independence and Large Cardinals".

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Visser characterized the interpretability logic of the most common finitely axiomatized theories, and Berarducci and Shavrukov independently characterized the one for PA, which is not finitely axiomatizable.

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One very general way to investigate the space of possible mathematical systems is under the relation of interpretability.

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Section 2 introduces the interpretability hierarchy and describes some of its basic features.

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Expert writing Tips

Best practice

When discussing complex models in data science or machine learning, prioritize the "interpretability" of the model to ensure stakeholders can understand and trust the results.

Common error

Avoid sacrificing "interpretability" for marginal gains in accuracy, especially in sensitive applications where understanding the reasoning behind decisions is crucial.

Linguistic Context

The primary grammatical function of "interpretability" is as a noun, denoting the quality or state of being interpretable. It functions as a subject or object, as seen in the examples provided by Ludwig, such as "The equivalence class of all theories mutually interpretable with T is called the "interpretability" degree of T."

Expression frequency: Very common

Frequent in

Science

60%

Encyclopedias

20%

Formal & Business

10%

Less common in

News & Media

5%

Academia

3%

Wiki

2%

Ludwig's WRAP-UP

In summary, "interpretability" refers to the quality of being easily understood or explained. Ludwig AI analysis confirms that the phrase is grammatically correct and widely used, particularly in scientific and academic contexts. When writing, prioritize "interpretability" to enhance understanding and trust, especially when discussing complex topics. Be mindful of its formal tone and choose synonyms like "clarity of meaning" or "comprehensibility" when appropriate. Avoiding sacrificing "interpretability" for marginal gains will also make your writing more effective.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

intelligibility

Focuses on the quality of being easily understood.

comprehensibility

Emphasizes the ability to be fully understood.

explicability

Indicates the capacity to be explained or justified.

clarity of meaning

Focuses on the ease with which something can be understood.

understandableness

Highlights the capability of being understood.

ease of understanding

Highlights how simple it is to grasp the concept.

lucidity

Stresses the clearness and easy readability of the subject.

transparency

Suggests openness and lack of ambiguity in the explanation.

accessibility

Highlights how readily available and understandable the information is.

decipherability

Emphasizes the ability to decode or understand something cryptic.

FAQs

How is "interpretability" used in the context of machine learning?

In machine learning, "interpretability" refers to the degree to which a human can understand the cause of a decision made by a model. Highly interpretable models allow users to understand why specific predictions were made.

What are the benefits of using interpretable models?

Interpretable models enhance trust, allow for easier debugging, and facilitate the identification and mitigation of biases. They also improve compliance with regulations that require explanations for automated decisions.

How does "interpretability" relate to model complexity?

Generally, simpler models like linear regression and decision trees are more interpretable than complex models like neural networks. However, there are techniques to improve the "transparency" and "explicability" of complex models.

What can I say instead of "interpretability"?

You can use alternatives like "clarity of meaning", "ease of understanding", or "comprehensibility" depending on the context.