How do I tune the parameters of an Isolation Forest model?
To tune the parameters of an Isolation Forest, you can adjust the number of estimators, contamination, and max features.
What is the best way to choose the number of estimators?
A good starting point is to use 100 estimators, but you can use cross-validation to find the optimal number.
How does contamination affect the model?
Contamination defines the proportion of outliers in the data. Setting it correctly helps the model to better identify anomalies.
Can I use GridSearchCV for tuning?
Yes, GridSearchCV is a great tool for systematically testing different parameter combinations to find the best settings.
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