在 Python 中的 Jupyter Notebook 中显示决策树的巨大问题：ExecutableNotFound？

Question

I have a problem to create and display decision tree in Jupyter Notebook using Python. My code is as below:

X = data.drop(["Risk"], axis=1)
y = data["Risk"]
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=0)
from sklearn.tree import DecisionTreeClassifier
klasyfikator = DecisionTreeClassifier(criterion = "gini", random_state=0, max_depth=4, min_samples_leaf=1)
klasyfikator.fit(X = X, y = y)


data = export_graphviz(klasyfikator,out_file=None,feature_names=X.columns,class_names=["0", "1"],   
                         filled=True, rounded=True,  
                         special_characters=True)
graph = graphviz.Source(data)
graph

Generally this decision tree concerns credit risk research 0 - will not pay 1 - will pay.

When I use code above, I have error like this:

ExecutableNotFound: failed to execute ['dot', '-Tsvg'], make sure the Graphviz executables are on your systems' PATH

I have already tried many solutions from StackOverflow, for example:

1. pip install graphviz
2. Conta install graphiz
3. I Downloaded Graphviz from http://www.graphviz.org/download/
4. I added to the PATH environment variable:

C:\\Program Files (x86)\\Graphviz2.38\\bin

And there is still error described above. What can I do? what should I do ? Please help me guys because I'm losing hope of being able to draw this tree. Thank you!

Moreover, when I added by using this code:

import os 
os.environ["PATH"] += os.pathsep + 'C:\Program Files (x86)\Graphviz2.38\bin' 

I have in PATH something like this: C:\\\\Program Files (x86)\\\\Graphviz2.38\\x08in it is not the same, what can I do ?

Answer 1

With latest version of sklearn, you can directly plot the decision tree without graphviz .

Use:

from sklearn.tree import plot_tree

plot_tree(klasyfikator) 

Read more here .