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 six
from sklearn import tree
dotfile = six.StringIO()
i_tree = 0
for tree_in_forest in clf.estimators_:
if (i_tree <1):
tree.export_graphviz(tree_in_forest, out_file=dotfile)
pydotplus.graph_from_dot_data(dotfile.getvalue()).write_png('dtree'+ str(i_tree) +'.png')
i_tree = i_tree + 1
But it doesn't generate anything.. Have you an idea how to plot a decision tree from random forest ?
Thank you,
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')