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Checking model results

In the previous exercise you've flagged all observations to be fraud, if they are in the top 5th percentile in distance from the cluster centroid. I.e. these are the very outliers of the three clusters. For this exercise you have the scaled data and labels already split into training and test set, so y_test is available. The predictions from the previous exercise, km_y_pred, are also available. Let's create some performance metrics and see how well you did.

本练习是课程的一部分

Fraud Detection in Python

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交互式实操练习

通过完成这段示例代码来试试这个练习。

# Obtain the ROC score
print(____(____, ____))
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