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from sklearn.ensemble import RandomForestClassifier
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clf = RandomForestClassifier()
clf.fit(df[iris.feature_names], df.species)
clf.predict(df[iris.feature_names])
pd.crosstab(df.species, clf.predict(df[iris.feature_names]))