BORG (version 0.2.5)

audit_predictions: 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
)

Value

A BorgRisk object with audit results.

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.

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)