chore: run prettier

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nprimo 2024-03-12 11:49:22 +00:00 committed by Niccolò Primo
parent 1f9c0db5ad
commit d3e7e4500d
2 changed files with 2 additions and 2 deletions

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@ -179,7 +179,7 @@ classifier.fit(X_train_scaled, y_train)
![alt text][logo_ex4]
[logo_ex4]: ./w2_day4_ex4_q3.png 'ROC AUC '
[logo_ex4]: ./w2_day4_ex4_q3.png "ROC AUC "
- https://scikit-learn.org/stable/modules/generated/sklearn.metrics.plot_roc_curve.html

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@ -115,7 +115,7 @@ array([[37, 2],
![alt text][logo_ex4]
[logo_ex4]: ../w2_day4_ex4_q3.png 'ROC AUC '
[logo_ex4]: ../w2_day4_ex4_q3.png "ROC AUC "
Having a 99% ROC AUC is not usual. The data set we used is easy to classify. On real data sets, always check if there's any leakage while having such a high ROC AUC score.