from sklearn.metrics import confusion_matrix
import seaborn as sns

y_test_pred = model.predict_classes(X_test)
c_matrix = confusion_matrix(y_test, y_test_pred)
ax = sns.heatmap(c_matrix, annot=True, xticklabels=['No Diabetes','Diabetes'], yticklabels=['No Diabetes','Diabetes'], cbar=False, cmap='Blues')
ax.set_xlabel("Prediction")
ax.set_ylabel("Actual")

plt.show()
plt.clf()