Deterministic

nounid 4842·updated Aug 28, 2026

verified

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modelling [that] produces consistent outcomes for a given set of inputs, regardless of how many times the model is recalculated. The mathematical characteristics are known in this case. None of them is random, and each problem has just one set of specified values as well as one answer or solution. The unknown components in a deterministic model are external to the model. It deals with the definitive outcomes as opposed to random results and doesn’t make allowances for error.

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Classifications

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Entity Type

Requirement60%llm-generatedllm:claude-haiku-4-5

Sensitivity

unclassified

Information Class

unclassified

Variants

3 surface forms

plural: Deterministics
possessive: Deterministic's
pluralpossessive: Deterministics'

Framework definitions

2 senses across 2 frameworks

Deterministic vs Stochastic Machine Learning1 senseview framework →

§1: modelling [that] produces consistent outcomes for a given set of inputs, regardless of how many times the model is recalculated. The mathematical characteristics are known in this case. None of them is random, and each problem has just one set of specified values as well as one answer or solution. The unknown components in a deterministic model are external to the model. It deals with the definitive outcomes as opposed to random results and doesn’t make allowances for error.

Legacy lexicon import1 senseview framework →

§1 · legacy_primary: modelling [that] produces consistent outcomes for a given set of inputs, regardless of how many times the model is recalculated. The mathematical characteristics are known in this case. None of them is random, and each problem has just one set of specified values as well as one answer or solution. The unknown components in a deterministic model are external to the model. It deals with the definitive outcomes as opposed to random results and doesn’t make allowances for error.
DR-088 backfill from the noun definition column

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