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src/cifar10_tools/pytorch/plotting.py

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@@ -222,7 +222,7 @@ def plot_evaluation_curves(
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roc_auc = auc(fpr, tpr)
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ax1.plot(fpr, tpr, label=class_name)
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ax1.plot([0, 1], [0, 1], 'k--', label='Random classifier')
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ax1.plot([0, 1], [0, 1], 'k--', label='random classifier')
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ax1.set_xlabel('False positive rate')
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ax1.set_ylabel('True positive rate')
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ax1.legend(loc='lower right', fontsize=12)

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