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Similarity Threshold Equal Score Label Tool

Compute similarity threshold equal score label from explicit bounded inputs.

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Description

Compare bounded score with bounded threshold using greater-than-or-equal when inclusive and strictly greater otherwise.

A similarity term depends on the comparison universe, missing-value policy, treatment of repeated features, and normalization. A score can also have a caller-selected value when its mathematical denominator vanishes. Those conventions matter before interpreting a threshold or comparing methods.

Compare bounded score with bounded threshold using greater-than-or-equal when inclusive and strictly greater otherwise.

When to use this tool

Use Similarity Threshold Equal Score Label when you need this particular comparison term, normalization, domain condition, or empty-result policy in a larger matching workflow.

How to use the tool and how it works

  1. Enter score, threshold, inclusive. Use the units and conventions below.
  2. Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
  3. Read accepted, boundary. Inspect accepted, boundary before interpreting the associated values.

Compare bounded score with bounded threshold using greater-than-or-equal when inclusive and strictly greater otherwise. Separately return boundary for exact equality.1

Input fieldMeaning and unitsAccepted input
scoreScoreRequired. Finite number; minimum 0; maximum 1.
thresholdThresholdRequired. Finite number; minimum 0; maximum 1.
inclusiveInclusiveRequired. Boolean.
Output fieldInterpretationReturned shape
acceptedAcceptedRequired. Boolean.
boundaryBoundaryRequired. Boolean.
json
{
  "input": {
    "score": 0.5,
    "threshold": 0.5,
    "inclusive": true
  },
  "output": {
    "accepted": true,
    "boundary": true
  }
}

Limitations and assumptions

  • An exact boundary can be accepted or rejected by policy. The tool does not calculate the score, calibrate a threshold, or infer real-world match quality.
  • The field tables state structural bounds; the mechanics also specify cross-field constraints. Malformed inputs and unsupported domains cause errors. A successful false flag, empty branch value, or zero placeholder has the meaning stated above and is distinct from an input error.
  • Numeric calculations use binary floating point unless exact decimal-integer arithmetic is explicitly stated. No hidden measurement tolerance or decimal rounding is added; nonfinite or out-of-contract results are rejected. Signed zero is exported as zero.

Alternative or Complementary methods

Compare methods only after aligning feature definitions, missingness, empty policies, multiplicities, and normalizers. Use a complete comparison when the tool returns only one contribution or count check.

References

  1. Calculation and input contract: similarity/similarity-threshold-equal-score-label — tool.io

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