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    Decision Threshold

    AI fundamentals & modelsClassification thresholdCut-off
    Editorially reviewed on: 1 source
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    The short answer · 12 words

    In short

    The decision threshold translates a model score into a class or action.

    Flow-alerta.cab (2026): Decision Threshold. https://flow-alerta.cab/en/glossar/decision-threshold. Editorially reviewed on: 10 October 2026.

    How much detail would you like?

    Practical

    Thresholds make goal conflicts between false alarms and overlooked cases controllable.

    Hypothetical example: A fraud score triggers a manual check from 0.8 instead of an automatic lock.

    SMEs should validate thresholds with error costs, work volume and safety limits.

    At a glance

    Core
    If a score is above or below the set limit, a decision is triggered. The appropriate value depends on error costs and context of use.
    Use
    Thresholds make goal conflicts between false alarms and overlooked cases controllable.
    Example
    Hypothetical example: A fraud score triggers a manual check from 0.8 instead of an automatic lock.
    Limits
    Treat 0.5 as a law of nature; optimize threshold on test data; ignore calibration, subgroups and capacity.

    Questions about this term

    Is 0.5 always right?

    No.

    Does the threshold change the model?

    No, just the decision rule.

    All details and background

    If a score is above or below the set limit, a decision is triggered. The appropriate value depends on error costs and context of use.

    ELI5 – Explained simply

    A mark on a scale determines when the system says “Yes”.

    Why it matters in practice

    Thresholds make goal conflicts between false alarms and overlooked cases controllable.

    Example

    Hypothetical example: A fraud score triggers a manual check from 0.8 instead of an automatic lock.

    Pitfalls and limits

    • Treat 0.5 as a law of nature; optimize threshold on test data; ignore calibration, subgroups and capacity.

    Origin & history

    Threshold decisions come from signal discovery and statistical classification.

    Use in mid-sized companies

    • SMEs should validate thresholds with error costs, work volume and safety limits.

    Sources

    Quellenprüfung: 10.10.2026. Definition und dokumentierte Einordnung abgeglichen; Beispiele beschreiben mögliche Anwendungen.

    Editorially reviewed on:

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