audit_predictions: Audit Predictions for Data Leakage

In BORG: Bounded Outcome Risk Guard for Model Evaluation

Audit Predictions for Data Leakage

Description

Validates that predictions were generated correctly without data leakage. Checks that predictions correspond to test data only and that the prediction process did not use information from the test set.

Usage

audit_predictions(
  predictions,
  train_idx,
  test_idx,
  actual = NULL,
  data = NULL,
  model = NULL
)

Arguments

predictions	Vector of predictions (numeric or factor).
train_idx	Integer vector of training indices.
test_idx	Integer vector of test indices.
actual	Optional vector of actual values for comparison.
data	Optional data frame containing the original data.
model	Optional fitted model object for additional checks.

Value

A BorgRisk object with audit results.

Examples

# Create data and split
set.seed(42)
data <- data.frame(y = rnorm(100), x = rnorm(100))
train_idx <- 1:70
test_idx <- 71:100

# Fit model and predict
model <- lm(y ~ x, data = data[train_idx, ])
predictions <- predict(model, newdata = data[test_idx, ])

# Audit predictions
result <- audit_predictions(predictions, train_idx, test_idx)

BORG documentation built on March 20, 2026, 5:09 p.m.