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Enhance ROC Curve Display Tests for Improved Clarity and Maintainability #31266

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Merged
merged 10 commits into from
Apr 30, 2025
Merged

Enhance ROC Curve Display Tests for Improved Clarity and Maintainability #31266

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61b9e1f
Replace filtered data fixture with synthetic binary dataset
NEREUScode Apr 25, 2025
e299bf6
Update test_roc_curve_display.py
NEREUScode Apr 25, 2025
7ab9430
Update test_roc_curve_display.py
NEREUScode Apr 25, 2025
4cfe688
Replace filtered data fixture with synthetic binary dataset
NEREUScode Apr 25, 2025
e8b1e45
update the data_binary and delete the data()
NEREUScode Apr 28, 2025
57bc822
Merge branch 'main' into main
NEREUScode Apr 28, 2025
b845dcf
fix the importation
NEREUScode Apr 28, 2025
3d086a2
Merge branch 'main' of github.com:NEREUScode/scikit-learn
NEREUScode Apr 28, 2025
d90e108
Merge branch 'main' into main
NEREUScode Apr 29, 2025
90077ae
Merge branch 'main' into main
NEREUScode Apr 29, 2025
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23 changes: 11 additions & 12 deletions sklearn/metrics/_plot/tests/test_roc_curve_display.py
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Expand Up @@ -5,7 +5,7 @@

from sklearn import clone
from sklearn.compose import make_column_transformer
from sklearn.datasets import load_breast_cancer, load_iris
from sklearn.datasets import load_breast_cancer, make_classification
from sklearn.exceptions import NotFittedError
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import RocCurveDisplay, auc, roc_curve
Expand All @@ -16,20 +16,19 @@


@pytest.fixture(scope="module")
def data():
X, y = load_iris(return_X_y=True)
# Avoid introducing test dependencies by mistake.
X.flags.writeable = False
y.flags.writeable = False
def data_binary():
X, y = make_classification(
n_samples=200,
n_features=20,
n_informative=5,
n_redundant=2,
flip_y=0.1,
class_sep=0.8,
random_state=42,
)
return X, y


@pytest.fixture(scope="module")
def data_binary(data):
X, y = data
return X[y < 2], y[y < 2]


@pytest.mark.parametrize("response_method", ["predict_proba", "decision_function"])
@pytest.mark.parametrize("with_sample_weight", [True, False])
@pytest.mark.parametrize("drop_intermediate", [True, False])
Expand Down