Plot trees for a Random Forest in Python with Scikit-Learn

Question

I want to plot a decision tree of a random forest. So, i create the following code:

clf = RandomForestClassifier(n_estimators=100)
import pydotplus
import s         


        

Answer 1

Assuming your Random Forest model is already fitted, first you should first import the export_graphviz function:

from sklearn.tree import export_graphviz

In your for cycle you could do the following to generate the dot file

export_graphviz(tree_in_forest,
                feature_names=X.columns,
                filled=True,
                rounded=True)

The next line generates a png file

os.system('dot -Tpng tree.dot -o tree.png')