print.gazepoint_ml_leakage_audit: Print a Gazepoint ML leakage audit

In gp3ml: Governance-First Predictive Modelling for 'Gazepoint' Research

Print a Gazepoint ML leakage audit

Description

Print a Gazepoint ML leakage audit

Usage

## S3 method for class 'gazepoint_ml_leakage_audit'
print(x, ...)

Arguments

x	An object returned by audit_gazepoint_ml_leakage().
...	Additional arguments, currently unused.

Value

x, invisibly.

Examples

analysis <- data.frame(
  participant_id = c("P01", "P01", "P02", "P02"),
  trial_id = c("T01", "T02", "T03", "T04"),
  stimulus_id = c("S01", "S02", "S03", "S04"),
  outcome = c(0, 1, 0, 1),
  fixation_duration = c(210, 240, 225, 260),
  pupil_change = c(0.10, 0.16, 0.12, 0.18)
)
assessment <- data.frame(
  participant_id = c("P03", "P03", "P04", "P04"),
  trial_id = c("T05", "T06", "T07", "T08"),
  stimulus_id = c("S05", "S06", "S07", "S08"),
  outcome = c(1, 0, 1, 0),
  fixation_duration = c(275, 230, 290, 245),
  pupil_change = c(0.21, 0.11, 0.24, 0.14)
)
audit <- audit_gazepoint_ml_leakage(
  analysis = analysis,
  assessment = assessment,
  outcome = "outcome",
  predictors = c("fixation_duration", "pupil_change"),
  participant_id = "participant_id",
  trial_id = "trial_id",
  stimulus_id = "stimulus_id",
  generalization_target = "new_participants"
)
print(audit)

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