1. Learn
    2. /
  2. Courses
    3. /
  3. Introduction to Anomaly Detection in R

Exercise

Anomaly score

Your visualization suggested that thyroid disease could be detected from anomalous hormone measurements.

In this exercise you'll use an isolation forest to generate an anomaly score for thyroid levels, and compare the resulting score against the true disease status.

Instructions

100 XP
  • Fit an isolation forest to the thyroid hormone measurements.
  • Generate anomaly scores for the thyroid data and append the result to thyroid as the new column iso_score.
  • Use the boxplot() function to compare the score distribution for patients with and without thyroid disease, using the label column.