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fairmodels (version 1.1.0)

confusion_matrix: Confusion matrix

Description

Calculates confusion matrix for given cutoff

Usage

confusion_matrix(probs, observed, cutoff)

Arguments

probs

numeric, vector with probabilities given by model

observed

numeric, vector with actual values from outcome, either 0 or 1

cutoff

numeric, single value denoting cutoff/threshold

Value

object of class confussion_matrix It is a list with following fields:

  • tpnumber of True Positives

  • fpnumber of False Positives

  • tnnumber of True Negatives

  • fnnumber of False Negatives

Examples

Run this code
# NOT RUN {
probs    <- rnorm(20, 0.4,0.1)
observed <- round(runif(20))

confusion_matrix(probs, observed, 0.5)

# }

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