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Enhance ROC Curve Display Tests for Improved Clarity and Maintainability #31253

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Enhance ROC Curve Display Tests for Improved Clarity and Maintainability #31253

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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
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14 changes: 11 additions & 3 deletions sklearn/metrics/_plot/tests/test_roc_curve_display.py
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Original file line number Diff line number Diff line change
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, load_iris, make_classification
from sklearn.exceptions import NotFittedError
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import RocCurveDisplay, auc, roc_curve
Expand All @@ -26,8 +26,16 @@ def data():

@pytest.fixture(scope="module")
def data_binary(data):
X, y = data
return X[y < 2], y[y < 2]
X, y = make_classification(
n_samples=200,
n_features=20,
n_informative=5,
n_redundant=2,
flip_y=0.1, # Add some label noise
class_sep=0.8, # Reduce separation for more overlap
random_state=42,
)
return X, y


@pytest.mark.parametrize("response_method", ["predict_proba", "decision_function"])
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