new_contents: import matplotlib.pylab as plt
  import numpy as np
  import seaborn as sns
  from sklearn.metrics import confusion_matrix
  
  np.random.seed(314151692)
  y_pred = np.random.random_integers(0, 1, 1000)
  y_true = np.random.random_integers(0, 1, 1000)
  
  
  data = confusion_matrix(y_true, y_pred)
  
  fig, ax = plt.subplots(1)
  sns.heatmap(data, ax=ax)
  ax.set_ylabel('True label')
  ax.set_xlabel('Predicted label')
  
  fig.show()
  
subject: Add a confusion matrix plot