3. Unsupervised Learning

Anomaly Detection — Quiz

Test your understanding of anomaly detection with 5 practice questions.

Practice Questions

Question 1

In anomaly detection taxonomy, which anomaly type describes data points that are only anomalous within a specific context (e.g., a temperature of 30 °C is abnormal in winter but normal in summer)?

Question 2

Which anomaly detection technique computes a score by comparing the local density of a point to the densities of its neighbors, labeling points with LOF > 1 as outliers?

Question 3

In a One-Class SVM, the parameter $\nu$ (nu) primarily controls which aspect of the model?

Question 4

How does the Isolation Forest algorithm identify anomalous data points?

Question 5

Given an autoencoder that reconstructs an input vector $x=(3,5)$ as $\hat{x}=(1,2)$, what is the reconstruction error $E=||x-\hat{x}||^2$?