plot_fairness_regression_object: Plot fairness regression object

In ModelOriented/FairModels: Flexible Tool for Bias Detection, Visualization, and Mitigation

Plot fairness regression object

Description

Please note that this is experimental approach. Plot fairness check regression enables to look how big differences are between base subgroup (privileged) and unprivileged ones. If bar plot reaches red zone it means that for this subgroup fairness goal is not satisfied. Multiple subgroups and models can be plotted. Red and green zone boundary can be moved through epsilon parameter, that needs to be passed through fairness_check.

Usage

## S3 method for class 'fairness_regression_object'
plot(x, ...)

Arguments

x	fairness_regression_object object
...	other plot parameters

Value

ggplot2 object

Examples

set.seed(123)
data <- data.frame(
  x = c(rnorm(500, 500, 100), rnorm(500, 400, 200)),
  pop = c(rep("A", 500), rep("B", 500))
)

data$y <- rnorm(length(data$x), 1.5 * data$x, 100)

# create model
model <- lm(y ~ ., data = data)

# create explainer
exp <- DALEX::explain(model, data = data, y = data$y)

# create fobject
fobject <- fairness_check_regression(exp, protected = data$pop, privileged = "A")

# results

fobject
plot(fobject)


model_ranger <- ranger::ranger(y ~ ., data = data, seed = 123)
exp2 <- DALEX::explain(model_ranger, data = data, y = data$y)

fobject <- fairness_check_regression(exp2, fobject)

# results
fobject

plot(fobject)

ModelOriented/FairModels documentation built on Jan. 31, 2025, 8:16 p.m.