Manual outlier ensembles - creating the arrays
An ensemble is a collection of one or more machine learning models combined to make their predictions more robust. Creating outlier ensembles manually usually takes practice. Therefore, you will perform the operation in three steps.
In this exercise, you will create a list of estimators and an empty array to store the probability scores.
IForest is available to you, as well as NumPy as np.
Deze oefening maakt deel uit van de cursus
Anomaly Detection in Python
Interactieve oefening met praktijkervaring
Probeer deze oefening door deze voorbeeldcode aan te vullen.
# Create a list of two IForest estimators
estimators = [____, ____]