evaluate_gazepoint_thresholds: Evaluate explicit classification thresholds
In gp3ml: Governance-First Predictive Modelling for 'Gazepoint' Research

View source: R/decision-governance.R

evaluate_gazepoint_thresholds

R Documentation

Evaluate explicit classification thresholds

Description

Evaluate explicit classification thresholds

Usage

evaluate_gazepoint_thresholds(
  truth,
  probability,
  positive,
  thresholds,
  cost_false_positive = 1,
  cost_false_negative = 1
)

Arguments

`truth`	Observed binary outcome.
`probability`	Probability of the positive class.
`positive`	Positive class label.
`thresholds`	Explicit candidate thresholds.
`cost_false_positive`	False-positive cost.
`cost_false_negative`	False-negative cost.

Value

A gp3ml_threshold_evaluation.

gp3ml documentation built on Aug. 23, 2026, 5:11 p.m.

gp3ml index

Package overview README.md API Stability and Public Object Contracts Contaminated feature manifests and leakage cases Cross-Package Interoperability Contracts Dataset Shift and Robustness Auditing Experimentally assigned condition discrimination Explicitly observed behavioural endpoint External validation and transportability reporting Frozen Analysis-Plan Governance Governance Evidence and Standards Crosswalks Governed Decision Thresholds and Abstention Integrated Synthetic Gazepoint Research Workflow Nested grouped resampling Optional Engines and Cross-Platform Portability Participant generalization Portable Models and Research Artifacts Predefined recording-quality review status Reproducibility Hardening Simultaneous participant and stimulus generalization Stimulus generalization Target-Aware Conformal Prediction

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