Recall P-Value Calculation Method

A Recall P-Value Calculation Method is a statistical hypothesis testing method that computes p-values for recall scores using standard error estimates from true positives and false negatives.

• AKA: Recall Significance Test Method, Sensitivity P-Value Method, True Positive Rate Test Method, Recall Hypothesis Test.
• Context:
  • It can typically compute recall = TP/(TP+FN) and derive standard error.
  • It can typically test against baseline recall or minimum sensitivity requirement.
  • It can typically use binomial proportion theory for variance calculation.
  • It can often prioritize high recall in critical applications like medical screening.
  • It can often support one-sided tests for recall thresholds.
  • It can often complement Precision P-Value Calculation Methods for trade-off analysis.
  • It can range from being an Exact Recall P-Value Calculation Method to being an Approximate Recall P-Value Calculation Method, depending on its distribution model.
  • It can range from being a Single-Class Recall P-Value Calculation Method to being a Multi-Class Recall P-Value Calculation Method, depending on its class structure.
  • It can range from being a Conservative Recall P-Value Calculation Method to being a Liberal Recall P-Value Calculation Method, depending on its error allowance.
  • It can range from being an Independent Recall P-Value Calculation Method to being a Paired Recall P-Value Calculation Method, depending on its comparison type.
  • ...
• Example(s):
  • Medical Screening Recall Tests, such as:
    • Cancer screening: TP=95, FN=5 → Recall=0.95, must exceed 0.90 significantly.
    • Disease detection requiring 99% sensitivity verification.
  • Information Retrieval Recall Tests, such as:
    • Search engine recall tested against baseline.
    • Document retrieval system meeting recall requirements.
  • Multi-Class Average Recall Tests, such as:
    • Macro-averaged recall across all classes.
    • Weighted recall by class importance.
  • ...
• Counter-Example(s):
  • Precision P-Value Calculation Method, which tests positive predictive value.
  • Specificity P-Value Method, which tests true negative rate.
  • F1 P-Value Calculation Method, which tests balanced measure.
• See: Statistical Hypothesis Testing Method, Recall Measure, Sensitivity, True Positive, False Negative, Binomial Test, Precision P-Value Calculation Method, F1 P-Value Calculation Method, Medical Screening Evaluation, Information Retrieval Evaluation, Performance Measure Computation Method.

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