[0.23.1] doctest GradientBoostingClassifier failes on arm(rhel) processors

[murata-yu]

Describe the bug

On arm processors (AWS:gravition2, rhel), I get the following failure in version 0.23.1

1038     >>> from sklearn.model_selection import train_test_split
1039     >>> X, y = make_classification(random_state=0)
1040     >>> X_train, X_test, y_train, y_test = train_test_split(
1041     ...     X, y, random_state=0)
1042     >>> clf = GradientBoostingClassifier(random_state=0)
1043     >>> clf.fit(X_train, y_train)
1044     GradientBoostingClassifier(random_state=0)
1045     >>> clf.predict(X_test[:2])
1046     array([1, 0])
1047     >>> clf.score(X_test, y_test)
Expected:
    0.88
Got:
    0.84

Steps/Code to Reproduce

pytest -v sklearn/ensemble/_gb.py::sklearn.ensemble._gb.GradientBoostingClassifier

Expected Results

PASSED is thrown.

Actual Results

FAILED is thrown.

1047     >>> clf.score(X_test, y_test)
Expected:
    0.88
Got:
    0.84

Versions

System:
    python: 3.6.8 (default, Dec  5 2019, 16:02:25)  [GCC 8.3.1 20191121 (Red Hat 8.3.1-5)]
executable: /usr/bin/python3
   machine: Linux-4.18.0-193.1.2.el8_2.aarch64-aarch64-with-redhat-8.2-Ootpa

Python dependencies:
          pip: 20.1.1
   setuptools: 39.2.0
      sklearn: 0.23.1
        numpy: 1.14.3
        scipy: 1.0.0
       Cython: 0.29
       pandas: 1.0.5
   matplotlib: 3.2.1
       joblib: 0.14.0
threadpoolctl: 2.1.0

Built with OpenMP: True
Linux-4.18.0-193.1.2.el8_2.aarch64-aarch64-with-redhat-8.2-Ootpa
Traceback (most recent call last):
  File "<string>", line 3, in <module>
NameError: name 'Python' is not defined

[rth]

Thanks for the report @murata-yu , I can reproduce in #17996

Not yet sure if it's an indication of an actual issue of it we should just increase the tolerance.

[ogrisel]

From a user point of view, 4% of change in accuracy in the 0.8 range looks like more than a small numerical rounding discrepancy. It's worth investigating.

[ogrisel]

I can reproduce the problem locally by building scikit-learn in an arm64 miniforge environment in docker / qemu container as described in #17644 (comment).

[Higgs32584]

I was unable to replicate this issue. I got .88 when I ran the code

Python 3.12.1

Package Version Editable project location

---

alabaster 0.7.16
Babel 2.14.0
black 23.3.0
certifi 2023.11.17
cfgv 3.4.0
charset-normalizer 3.3.2
click 8.1.7
colorama 0.4.6
coverage 7.4.0
Cython 3.0.7
distlib 0.3.8
docutils 0.20.1
filelock 3.13.1
identify 2.5.33
idna 3.6
imagesize 1.4.1
iniconfig 2.0.0
Jinja2 3.1.3
joblib 1.3.2
MarkupSafe 2.1.3
mypy 1.8.0
mypy-extensions 1.0.0
nodeenv 1.8.0
numpy 1.26.3
numpydoc 1.6.0
packaging 23.2
pathspec 0.12.1
pip 23.3.2
platformdirs 4.1.0
pluggy 1.3.0
pre-commit 3.6.0
Pygments 2.17.2
pytest 7.4.4
pytest-cov 4.1.0
PyYAML 6.0.1
requests 2.31.0
ruff 0.1.13
scikit-learn 1.5.dev0 C:\Users\mjhig\scikit\scikit-learn
SciPy 1.11.4
setuptools 69.0.3
snowballstemmer 2.2.0
Sphinx 7.2.6
sphinxcontrib-applehelp 1.0.8
sphinxcontrib-devhelp 1.0.6
sphinxcontrib-htmlhelp 2.0.5
sphinxcontrib-jsmath 1.0.1
sphinxcontrib-qthelp 1.0.7
sphinxcontrib-serializinghtml 1.1.10
tabulate 0.9.0
threadpoolctl 3.2.0
typing_extensions 4.9.0
urllib3 2.1.0
virtualenv 20.25.0
wheel 0.42.0

[adrinjalali]

Hasn't been coming up in a couple of years. Closing, can open a new one when it comes up with a more recent version.