# Confusion matrix with seaborn heatmap
from sklearn.metrics import confusion_matrix, classification_report
import matplotlib.pyplot as plt
import seaborn as sn

cm = confusion_matrix(y_test, predictions)
print(cm)
print()
cr = classification_report(y_test, predictions)
print(cr)

sn.heatmap(cm, annot=True, cmap='BuPu', fmt='d')
plt.title('Confusion Matrix')
plt.xlabel('Predicted')
plt.ylabel('Actual')
plt.show()