When providing feedback on Discussion Board assignments, it is important for me to come from a place of collaboration and support. I should make sure my comments are helpful and provide feedback in a meaningful way.

What does a lift value greater than 1 indicate in an association rule?

Explain how the support and confidence metrics are used in association rule mining. Why might a rule with high confidence still be misleading?

What does “support” mean in association rule mining?

The gray top tube is most often used for which test?

Decision trees can handle:

Which is a major challenge in unsupervised outlier detection?

Which is not a reason to apply dimension reduction?

What is the purpose of normalization in preprocessing?

In outlier detection, what is the trade-off between detecting true anomalies and avoiding false positives? Describe one strategy to balance this trade-off.