Description
Return binary abstention under explicit band-edge policies.
Classification scores rank labels or locate a prediction relative to a chosen decision boundary. Raw scores and logits need not be calibrated probabilities; exact ties, score direction and inclusion of boundary values are separate policy choices that can change the reported decision.
Return binary abstention under explicit band-edge policies.
When to use this tool
Use Binary Abstention Indicator when checking the stated score comparison, tie or decision-band policy.
How to use the tool and how it works
- Enter probability, lower, upper, includeLower, includeUpper. Use the units and conventions below.
- Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
- Read abstain. Inspect abstain before interpreting the associated values.
Return binary abstention under explicit band-edge policies. Require probability/bounds in [0,1] and lower <= upper; use includeLower/includeUpper independently for equality at each edge.1
| Input field | Meaning and units | Accepted input |
|---|---|---|
| probability | Probability | Required. Finite number; minimum 0; maximum 1. |
| lower | Lower | Required. Finite number; minimum 0; maximum 1. |
| upper | Upper | Required. Finite number; minimum 0; maximum 1. |
| includeLower | Include Lower | Required. Boolean. |
| includeUpper | Include Upper | Required. Boolean. |
| Output field | Interpretation | Returned shape |
|---|---|---|
| abstain | Abstain | Required. Boolean. |
{
"input": {
"probability": 0.5,
"lower": 0.4,
"upper": 0.6,
"includeLower": true,
"includeUpper": true
},
"output": {
"abstain": true
}
}Limitations and assumptions
- The band is caller-selected; no optimal abstention, calibration or population coverage is inferred.
- Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.
- 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. Numeric signed-zero results are exported as zero.
Alternative or Complementary methods
Use a complete evaluation dataset and an explicit decision policy to assess performance; fit and validate calibration separately when a probability interpretation is required.
References
Similar or alternative tools
- Classifier Threshold Open Closed Band
Check a probability score against independently open or closed band edges.
- Positive Label Threshold Tie
Return positive-label selection under explicit score direction and equality policy.