Enhance ROC Curve Display Tests for Improved Clarity and Maintainability #31264
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Replaced the `data_binary` fixture that filtered classes from a multiclass dataset with a new fixture generating a synthetic binary classification dataset using `make_classification`. This ensures consistent data characteristics, introduces label noise, and better simulates real-world classification challenges.
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@lucyleeow I removed data() as suggested, but I'm still unsure why the Linux check is failing |
lucyleeow
reviewed
Apr 28, 2025
| @@ -1,11 +1,11 @@ | |||
| import numpy as np | |||
| import pytest | |||
| from numpy.testing import assert_allclose | |||
| from scipy.integrate import trapezoid | |||
| from scipy.integrate import trapz as trapezoid | |||
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Why this change?
The CI failure seems to be due to this
E ImportError: cannot import name 'trapz' from 'scipy.integrate' (/usr/share/miniconda/envs/testvenv/lib/python3.13/site-packages/scipy/integrate/init.py)
you can see the test failure details by clicking through 'details' eg. https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=76020&view=logs&j=dde5042c-7464-5d47-9507-31bdd2ee0a3a&t=4bd2dad8-62b3-5bf9-08a5-a9880c530c94&l=918
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thanks a lot i'll fix it
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PR Description:
Summary of Changes:
This PR refactors the
data_binaryfixture in thetest_roc_curve_display.pyfile. The previous fixture filtered a multiclass dataset (Iris) to create a binary classification task. However, this approach resulted in AUC values consistently reaching 1.0, which does not reflect real-world challenges.The new fixture utilizes
make_classificationfromsklearn.datasetsto generate a synthetic binary classification dataset with the following characteristics:flip_y=0.1) to simulate real-world imperfections in the data.class_sep=0.8) set to avoid perfect separation.These changes provide a more complex and representative dataset for testing the
roc_curve_displayfunction and other related metrics, thereby improving the robustness of tests.Reference Issues/PRs:
test_roc_curve_display.py#31243from_cv_resultsinRocCurveDisplay(singleRocCurveDisplay) #30399 (comment)For Reviewers: