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fc0f7bd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import pytest
import fairlearn.metrics as metrics
def test_selection_rate_unweighted():
y_true = [0, 0, 0, 0, 0, 0, 0, 0]
y_pred = [0, 0, 0, 1, 1, 1, 1, 1]
result = metrics.selection_rate(y_true, y_pred)
assert result == 0.625
def test_selection_rate_weighted():
y_true = [0, 0, 0, 0, 0, 0, 0, 0]
y_pred = [0, 1, 1, 0, 0, 0, 0, 0]
weight = [1, 2, 3, 4, 1, 2, 1, 2]
result = metrics.selection_rate(y_true, y_pred, sample_weight=weight)
assert result == 0.3125
def test_selection_rate_non_numeric():
a = "a"
b = "b"
y_true = [a, b, a, b, a, b, a, b]
y_pred = [a, a, a, b, b, b, a, a]
result = metrics.selection_rate(y_true, y_pred, pos_label=b)
assert result == 0.375
def test_group_selection_rate():
a = "a"
b = "b"
q = "q"
r = "r"
y_true = [a, b, a, b, b, b, a, a]
y_pred = [a, b, a, a, b, b, a, b]
weight = [1, 2, 3, 4, 1, 2, 4, 8]
groups = [r, r, r, r, q, q, q, q]
result = metrics.group_selection_rate(y_true, y_pred, groups,
pos_label=b,
sample_weight=weight)
assert result.overall == 0.52
assert result.by_group[r] == 0.2
assert result.by_group[q] == pytest.approx(0.73333333)
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