title: How to format number in the plot_confusion_matrix
body: <p>How to improve this strange, illegible number format in the matrix so that it shows me only simple numbers?</p>
  <pre><code>from sklearn.naive_bayes import GaussianNB
  from sklearn.linear_model import LogisticRegression
  from sklearn.ensemble import GradientBoostingClassifier
  from sklearn.ensemble import RandomForestClassifier
  from lightgbm import LGBMClassifier
  from sklearn.ensemble import RandomForestClassifier
  
  NBC = GaussianNB() 
  LRE = LogisticRegression(solver='lbfgs')
  GBC = GradientBoostingClassifier()
  RFC = RandomForestClassifier()
  LGBM = LGBMClassifier()
  CBC = CatBoostClassifier(verbose=0, n_estimators=100)
  
  
  classifiers = [NBC,LRE,GBC,RFC,LGBM,CBC]
  
  
  for cls in classifiers:
      cls.fit(X_train, y_train)
  
  
  fig, axes = plt.subplots(nrows=2, ncols=3, figsize=(10,6))
  target_names = ['0','1']
  
  
  for cls, ax in zip(classifiers, axes.flatten()):
      plot_confusion_matrix(cls, 
                            X_test, 
                            y_test, 
                            ax=ax, 
                            cmap='Reds',
                           display_labels=target_names)
      ax.title.set_text(type(cls).__name__)
      
  plt.tight_layout()  
  plt.show()
  </code></pre>
  <p><a href="https://i.stack.imgur.com/OGhuG.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/OGhuG.png" alt="enter image description here" /></a></p>