AUC P-Value Calculation Method
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An AUC P-Value Calculation Method is a statistical hypothesis testing method that computes p-values for Area Under ROC Curve scores using rank-based statistics or asymptotic approximations.
- AKA: ROC-AUC Significance Test, AUC Hypothesis Testing Method, Mann-Whitney U Test for AUC, DeLong Test Method.
- Context:
- It can typically test whether AUC significantly differs from 0.5 (random classifier).
- It can typically use Mann-Whitney U statistic equivalence to AUC.
- It can typically apply DeLong method for variance estimation of AUC.
- It can often handle paired comparisons using DeLong paired test.
- It can often provide confidence intervals for AUC values.
- It can often complement F1 P-Value Calculation Methods for threshold-free evaluation.
- It can range from being an Exact AUC P-Value Calculation Method to being an Asymptotic AUC P-Value Calculation Method, depending on its sample size.
- It can range from being a Single-AUC P-Value Calculation Method to being a Paired-AUC P-Value Calculation Method, depending on its comparison type.
- It can range from being a Parametric AUC P-Value Calculation Method to being a Non-Parametric AUC P-Value Calculation Method, depending on its distribution assumption.
- It can range from being a Conservative AUC P-Value Calculation Method to being a Liberal AUC P-Value Calculation Method, depending on its variance estimate.
- ...
- Example(s):
- Single Model AUC Tests, such as:
- AUC=0.85, SE=0.03, testing against null=0.5 → Z=11.67, p<0.001.
- Medical diagnostic test: AUC=0.72, must exceed 0.7 significantly.
- Paired Model AUC Comparisons, such as:
- Model A: AUC=0.88, Model B: AUC=0.84, DeLong paired test p=0.04.
- Same test set evaluation with covariance consideration.
- Multi-Class AUC Tests, such as:
- One-vs-Rest AUC averaging across classes.
- Pairwise AUC matrix for all class combinations.
- ...
- Single Model AUC Tests, such as:
- Counter-Example(s):
- F1 P-Value Calculation Method, which tests threshold-dependent metric.
- Accuracy P-Value Method, which tests overall correctness.
- Log-Loss P-Value Method, which tests probabilistic calibration.
- See: Statistical Hypothesis Testing Method, Area Under ROC Curve, ROC Curve, Mann-Whitney U Test, DeLong Method, Rank Statistics, F1 P-Value Calculation Method, Binary Classification Evaluation, Threshold-Independent Metric, Non-Parametric Test.