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roc auc score plotting

import scikitplot as skplt
import matplotlib.pyplot as plt

y_true = # ground truth labels
y_probas = # predicted probabilities generated by sklearn classifier
skplt.metrics.plot_roc_curve(y_true, y_probas)
plt.show()
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roc auc score

# Import roc_auc_score
from sklearn.metrics import roc_auc_score

# Calculate roc_auc_score
print(roc_auc_score(y_test, y_pred_probs))
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