Description
Return acceptance coverage from positive, negative and abstained counts.
Classifier metrics count particular outcomes on a declared population and positive-label convention. Precision, recall and accepted-only measures use different denominators. A reporting value at an empty denominator is a policy choice, while one cell, derivative or contribution does not constitute a complete performance evaluation.
Return acceptance coverage from positive, negative and abstained counts.
When to use this tool
Use Binary Abstention Coverage Count when checking the stated confusion-count, metric contribution or abstention-denominator convention.
How to use the tool and how it works
- Enter positive, negative, abstained. Use the units and conventions below.
- Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
- Read accepted, total, coverage. Use the output convention below.
Return acceptance coverage from positive, negative and abstained counts. Require nonnegative whole counts with positive total; accepted = positive+negative, total adds abstained, coverage = accepted/total.1
| Input field | Meaning and units | Accepted input |
|---|---|---|
| positive | Positive | Required. Safe integer. |
| negative | Negative | Required. Safe integer. |
| abstained | Abstained | Required. Safe integer. |
| Output field | Interpretation | Returned shape |
|---|---|---|
| accepted | Accepted | Required. Safe integer. |
| total | Total | Required. Safe integer. |
| coverage | Coverage | Required. Finite number. |
{
"input": {
"positive": 30,
"negative": 50,
"abstained": 20
},
"output": {
"accepted": 80,
"total": 100,
"coverage": 0.8
}
}Limitations and assumptions
- These are prediction-output counts, not truth labels; accuracy and selective risk are not computed.
- 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
Evaluate the complete confusion table, relevant class supports and abstention coverage together; use suitable uncertainty and validation methods for conclusions about predictive performance.
References
Similar or alternative tools
- Abstention Zero Coverage Policy
Report coverage and accepted accuracy under a zero-coverage policy.
- Binary Specificity Minimum Count Margin
Return additional true negatives needed for a specificity target.