conf_matrix_loan_data.py

# Plot confusion matrix
second_stack_probs = second_stack.predict_proba(first_stack.transform(X_test))
second_stack_preds = second_stack.predict(first_stack.transform(X_test))
conf_mat = confusion_matrix(y_test, second_stack_preds)

plt.figure(figsize=(16, 8))
plt.matshow(conf_mat, cmap=plt.cm.Reds, alpha=0.2)
for i in range(2):
  for j in range(2):
    plt.text(x=j, y=i, s=conf_mat[i, j], ha="center", va="center")
plt.title("Confusion matrix", y=1.1, fontdict={"fontsize": 20})
plt.xlabel("Predicted", fontdict={"fontsize": 14})
plt.ylabel("Actual", fontdict={"fontsize": 14});