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from sklearn.ensemble import IsolationForest
import pandas as pd
def detect_anomalies_isolation_forest(df, features):
model = IsolationForest(n_estimators=100, contamination=0.01)
df['anomaly_score'] = model.fit_predict(df[features])
df['is_anomaly'] = df['anomaly_score'] == -1
return df
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