.. _auto_classify_number:

*CLASSIFY THE NUMBER BASED ON THE CONDITIONS SPECIFIED. USEFUL FOR CLASSIFYING NUMERIC VALUE SUCH AS HIC, INTO GOOD, BAD, UGLY.*
================================================================================================================================

Classifies a numeric scalar value into a named category (e.g., Good, Bad, Ugly) based on a set of user-defined threshold conditions. Useful for bucketing engineering KPIs such as HIC, neck force, or any response metric into Pass/Fail or multi-tier rating bands.

When to use
-----------

Classification: **process**.

Tagged: ``classification``, ``condition``, ``hic``, ``kpi``, ``numeric``, ``pass_fail``, ``rating``, ``scalar``.

Inputs
------

.. list-table::
   :header-rows: 1
   :widths: 20 20 20 20 20 20

   * - Label
     - ID
     - Type
     - Default
     - Required
     - Description
   * - Response to classify
     - responsetoclassify
     - scalar
     - —
     - 
     - The numeric scalar value to be classified (e.g., a HIC score, peak force, or any KPI output); leave unconnected only if testing condition logic in isolation.
   * - value label
     - valuelabel
     - string
     - Unknown
     - 
     - Fallback label string returned when none of the defined conditions are satisfied; defaults to 'Unknown' and should be overridden with a domain-meaningful string such as 'No Data' or 'Undefined'.
   * - Condition
     - condition
     - labelcondition
     - —
     - 
     - One or more label-condition rule(s) that map numeric ranges or comparison expressions to output category names (e.g., value < 700 → 'Good'); repeatable to define multi-tier classifications.

Outputs
-------

.. list-table::
   :header-rows: 1
   :widths: 20 20 20 20

   * - Label
     - ID
     - Type
     - Description
   * - classify_number_output_1
     - classify_number_output_1
     - scalar
     - The string label of the first matching condition category assigned to the input scalar (e.g., 'Good', 'Bad', 'Ugly'), or the fallback value label if no condition is satisfied.

Disciplines
-----------

- ai_ml.supervised.classification
- cae.postprocessing.response
- data.statistics

.. raw:: html

   <hr style="margin-top:2em">
   <p style="font-size:11px;color:#888">
   Auto-generated from <code>transformation</code> schema. Worker id: <code>classify_number</code>. Schema hash: <code>35f2628fe9d3</code>. Hand-curated docs in <code>workerexamples/</code> override this page when present.
   </p>