Note
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Selection rates in census dataset#
from fairlearn.datasets import fetch_adult
from fairlearn.metrics import MetricFrame, selection_rate
data = fetch_adult(as_frame=True)
X = data.data
y_true = (data.target == ">50K") * 1
sex = X["sex"]
selection_rates = MetricFrame(
metrics=selection_rate, y_true=y_true, y_pred=y_true, sensitive_features=sex
)
fig = selection_rates.by_group.plot.bar(
legend=False, rot=0, title="Fraction earning over $50,000"
)
![Fraction earning over $50,000](../_images/sphx_glr_plot_quickstart_selection_rate_001.png)
Total running time of the script: ( 0 minutes 7.489 seconds)