plot.fairness_regression_object {fairmodels} | R Documentation |
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 |
|
... |
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)
[Package fairmodels version 1.2.1 Index]