我正在尝试可视化我在以下协作笔记本中生成的决策树：https://colab.research.google.com/drive/1jw7ZSHsQEV4ueBi7paEl7w0Dhjbe_CDK。
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IndexError Traceback (most recent call last)
<ipython-input-21-4c74a23b947f> in <module>()
3 feature_names = X.columns,
4 class_names=['',''],
----> 5 filled=True
6 )
7 #graph = pydotplss.graph_from_dot_data(dot_data)
/usr/local/lib/python3.6/dist-packages/sklearn/tree/export.py in export_graphviz(decision_tree, out_file, max_depth, feature_names, class_names, label, filled, leaves_parallel, impurity, node_ids, proportion, rotate, rounded, special_characters, precision)
457
458 # Now recurse the tree and add node & edge attributes
--> 459 recurse(decision_tree.tree_, 0, criterion=decision_tree.criterion)
460
461 # If required, draw leaf nodes at same depth as each other
/usr/local/lib/python3.6/dist-packages/sklearn/tree/export.py in recurse(tree, node_id, criterion, parent, depth)
334 out_file.write('%d [label=%s'
335 % (node_id,
--> 336 node_to_str(tree, node_id, criterion)))
337
338 if filled:
/usr/local/lib/python3.6/dist-packages/sklearn/tree/export.py in node_to_str(tree, node_id, criterion)
299 node_string += 'class = '
300 if class_names is not True:
--> 301 class_name = class_names[np.argmax(value)]
302 else:
303 class_name = "y%s%s%s" % (characters[1],
IndexError: list index out of range