Threshold Hit Miss Single Forecast Tool

Description

Classify actual and predicted by ≥ threshold when inclusive is true, otherwise by > threshold.

Threshold classification turns a numeric pair into a binary contingency outcome. An inclusive boundary treats equality differently from a strict threshold.

Classify actual and predicted by ≥ threshold when inclusive is true, otherwise by > threshold.

When to use this tool

Use Threshold Hit Miss Single Forecast when you need a one-pair contingency classification with an explicit boundary rule.

How to use the tool and how it works

Enter actual, predicted, threshold, inclusive. Use the units and conventions below.
Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
Read hit, falseAlarm, missed, correctNegative. Inspect hit, falseAlarm, missed, correctNegative before interpreting the associated values.

Classify actual and predicted by ≥ threshold when inclusive is true, otherwise by > threshold. Return the single matching hit, falseAlarm, missed, or correctNegative flag.^[1]

Input field	Meaning and units	Accepted input
actual	Observed value on the same scale and unit as its prediction.	Required. Finite number.
predicted	Predicted value on the same scale and unit as actual.	Required. Finite number.
threshold	Threshold	Required. Finite number.
inclusive	Inclusive	Required. Boolean.

Output field	Interpretation	Returned shape
hit	Hit	Required. Boolean.
falseAlarm	False Alarm	Required. Boolean.
missed	Missed	Required. Boolean.
correctNegative	Correct Negative	Required. Boolean.

json

{
  "input": {
    "actual": 12,
    "predicted": 8,
    "threshold": 10,
    "inclusive": true
  },
  "output": {
    "hit": false,
    "falseAlarm": false,
    "missed": true,
    "correctNegative": false
  }
}

Limitations and assumptions

This is one thresholded pair, not an aggregate rate, classifier calibration, or significance test.
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

Aggregate the full contingency table and evaluate threshold choice, class prevalence, and uncertainty separately.

References

Calculation and input contract: metrics/threshold-hit-miss-single-forecast — tool.io

Similar or alternative tools

Interval Coverage Boundary Convention
Check actual against ordered bounds using strict comparisons except where lowerClosed or upperClosed includes an equal endpoint.
Metrics: Quantile Crossing Two Output Flag
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