1. Learn
    2. /
  2. Courses
    3. /
  3. Fraud Detection in Python

Exercise

Assessing smallest clusters

In this exercise you're going to have a look at the clusters that came out of DBSCAN, and flag certain clusters as fraud:

  • you first need to figure out how big the clusters are, and filter out the smallest
  • then, you're going to take the smallest ones and flag those as fraud
  • last, you'll check with the original labels whether this does actually do a good job in detecting fraud.

Available are the DBSCAN model predictions, so n_clusters is available as well as the cluster labels, which are saved under pred_labels. Let's give it a try!

Instructions 1/3

undefined XP
    1
    2
    3
  • Count the samples within each cluster by running a bincount on the predicted cluster numbers under pred_labels and print the results.