regression_metrics

object created with <code><a rd-options="DALEX" href="/link/explain?package=fairmodels&version=1.1.0&to=DALEX" data-mini-rdoc="DALEX::explain">explain</a></code>

explainer

factor, protected variable (also called sensitive attribute), containing privileged and unprivileged groups

protected

factor/character, one value of <code>protected</code>, denoting subgroup suspected of the most privilege

privileged

Measure fairness metrics in one place for many models. Check how big is model's bias towards different races, sex, nationalities etc. Use measures such as Statistical Parity, Equal odds to detect the discrimination against unprivileged groups. Visualize the bias using heatmap, radar plot, biplot, bar chart (and more!). There are various pre-processing and post-processing bias mitigation algorithms implemented. Package also supports calculating fairness metrics for regression models. Find more details in (Wi<c5><9b>niewski, Biecek (2021)) <arXiv:2104.00507>.

Jakub Wi<c5><9b>niewski

fairmodels

Flexible Tool for Bias Detection, Visualization, and Mitigation

Przemys<c5><82>aw Biecek

regression_metrics function

object created with <code><a rd-options='DALEX' href='explain'>explain</a></code>

regression_metrics: Regression metrics

Description

Usage

Arguments

Value