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.
Cet exercice fait partie du cours
<cours>Introduction to Anomaly Detection in R</cours>Instructions de l’exercice
- Generate predictions from the isolation forest and append this as a new column called
scoreto thewine_griddata frame.
Exercice interactif pratique
Essayez cet exercice en complétant ce code d’exemple.
# Calculate isolation score at grid locations
___ <- predict(___, ___)