interpretability


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in·ter·pret

 (ĭn-tûr′prĭt)
v. in·ter·pret·ed, in·ter·pret·ing, in·ter·prets
v.tr.
1. To explain the meaning of: The newspapers interpreted the ambassador's speech as an attempt at making peace. See Synonyms at explain.
2. To understand the significance of; construe: interpreted his smile to be an agreement; interpreted the open door as an invitation.
3. To present or conceptualize the meaning of by means of art or criticism: The actor interpreted the character with great subtlety.
4. To translate from one language into another: interpreted the ambassador's remarks for the assembly.
v.intr.
To serve as an interpreter for speakers of different languages.

[Middle English interpreten, from Old French interpreter, from Latin interpretārī, from interpres, interpret-, negotiator, explainer; see per- in Indo-European roots.]

in·ter′pret·a·bil′i·ty, in·ter′pret·a·ble·ness n.
in·ter′pret·a·ble adj.

interpretability

Suitability of imagery for interpretation with respect to answering adequately requirements on a given type of target in terms of quality and scale. a. poor--Imagery is unsuitable for interpretation to answer adequately requirements on a given type of target. b. fair--Imagery is suitable for interpretation to answer requirements on a given type of target but with only average detail. c. good--Imagery is suitable for interpretation to answer requirements on a given type of target in considerable detail. d. excellent--Imagery is suitable for interpretation to answer requirements on a given type of target in complete detail.
References in periodicals archive ?
Once the main incident factors in the consolidation of neo-constitutionalism in Ecuador have been identified, PESTEL is analyzed with neutrosophic cognitive maps (NCM), in order to facilitate a greater interpretability of the results obtained.
Interpretability encompasses the terms explanation, how an algorithm responds when exposed to a specific instance, and interpretation, how the structure, weights and parameters of a model can highlight important features of the data.
For fast and increased learning accuracy, it uses discriminative techniques, deriving algorithms that compose NNs and support vector machines with TPLMs, using interpretability as a bias to learn more interpretable models.
(36) These criteria evaluate quality and measurement properties in the following domains: content validity, internal consistency, criterion validity, construct validity, reproducibility (including agreement and reliability), responsiveness, floor and ceiling effects and interpretability. Each dimension is evaluated based on whether the measurement properties of the questionnaires meet methodological quality criteria using four rating categories: a) positive rating (+), b) indeterminate rating (?), c) negative rating (-) and d) no information available (0).
Operationalizing analytics through interpretability and explainability
The second drawback is that the clustering results are very sensitive to how time is centered (or not) in the model in a manner that can degrade interpretability of the results.
By delivering automatic feature engineering, model validation, model tuning, model selection and deployment, machine learning interpretability, time-series, NLP and automatic pipeline generation for model scoring, H2O Driverless AI provides companies with a data science platform that addresses the needs of a variety of use cases for every enterprise in every industry.
Of the various requirements for effective communication, none are more important than interpretability and conspicuity.
Health care providers and public health practitioners should be aware of the limited interpretability of unpaired tests and encourage patients to return for convalescent serologic testing.
Based on the findings of regulatory authorities, processes to ensure the quality of clinical trials are frequently inadequate, and clinical trial records are often erroneous or incomplete, which may put patient safety and interpretability of trials at risk.
But when these same big data developments led to issues of interpretability and "explainability," and when people or intelligent systems simply relied on quantifiable algorithmic outputs with limited understanding of their biases or the reasons behind them, intervention--in the form of regulatory mandates and penalties--also quite naturally arose.
Consequently, the window begins to function as a key metaphor, transferring these features of the narrator's experience to the experience of the reader, and, thus, reflecting the story's readability and interpretability.