fpc: Calculate the false positive count of a vector of predicted...

In gweissman/gmish: Miscellaneous Functions for Predictive Modeling

Calculate the false positive count of a vector of predicted probabilities against a binary outcome at a given threshold.

Description

Calculate the false positive count of a vector of predicted probabilities against a binary outcome at a given threshold.

Usage

fpc(preds, obs, thresh = 0.5)

Arguments

preds	A vector of predicted probabilities.
obs	A vector containing the observed binary outcomes (0 or 1).
thresh	The probability threshold at or above which a prediction is considered to be positive.

Value

The false positive count is the number of observations predicted as positive that are in fact negative

Examples

# Generate some predictions
predictions <- runif(1000)
# Generate some binary outcomes
observations <- sample(0:1, size = 1000, replace = TRUE)
# Calculate the false positive count
fpc(predictions, observations)

gweissman/gmish documentation built on Feb. 21, 2025, 1:20 a.m.