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Model description
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Intended uses & limitations
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Training Procedure
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Hyperparameters
Model Plot
Pipeline(steps=[('scaler', StandardScaler()),('model', IsolationForest(max_samples=100, random_state=0))])In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
Pipeline(steps=[('scaler', StandardScaler()),('model', IsolationForest(max_samples=100, random_state=0))])StandardScaler()
IsolationForest(max_samples=100, random_state=0)
Evaluation Results
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How to Get Started with the Model
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Model Card Authors
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Decision Boundary
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