dando erro executar o codigo

from sklearn.tree import export_graphviz
import graphviz

features = x_azar.columns
dot_data = export_graphviz(modelo, out_file=None, filled=True, rounded=True, 
                class_names=["não", "sim"], 
                feature_names =  features)

graph = graphviz.Source(dot_data)
graph

NotFittedError                            Traceback (most recent call last)
<ipython-input-11-f3a6373a4d1c> in <cell line: 5>()
      3 
      4 features = x_azar.columns
----> 5 dot_data = export_graphviz(modelo, out_file=None, filled=True, rounded=True, 
      6                 class_names=["não", "sim"],
      7                 feature_names =  features)

1 frames
/usr/local/lib/python3.9/dist-packages/sklearn/utils/validation.py in check_is_fitted(estimator, attributes, msg, all_or_any)
   1388 
   1389     if not fitted:
-> 1390         raise NotFittedError(msg % {"name": type(estimator).__name__})
   1391 
   1392 

NotFittedError: This SVC instance is not fitted yet. Call 'fit' with appropriate arguments before using this estimator.