8000 Update Text that references the Example · scikit-learn/scikit-learn@88facc2 · GitHub
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Update Text that references the Example
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sklearn/metrics/_classification.py

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@@ -331,7 +331,8 @@ def confusion_matrix(
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>>> (tn, fp, fn, tp)
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(0, 2, 1, 1)
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For an example using the Iris dataset, Refer to
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For a detailed example of using a confusion matrix to evaluate a
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Support Vector Classifier, please see
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:ref:`sphx_glr_auto_examples_model_selection_plot_confusion_matrix.py`
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"""
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y_true, y_pred = attach_unique(y_true, y_pred)

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