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  3. Introduction to Anomaly Detection in R

Exercise

Prediction over a grid

In this exercise, you'll use an isolation forest to obtain an anomaly score for the grid of points you created in the last exercise. Getting the anomaly score is the final preparatory step required to visualize the isolation scores.

The data frame wine_grid and fitted isolation forest wine_forest from the previous exercise are preloaded.

Instructions

100 XP
  • Generate predictions from the isolation forest and append this as a new column called score to the wine_grid data frame.