[BUG] Running cell 5 of 05_support_vector_machines.ipynb notebook gives error about handson-ml3 HOT 1 OPEN

# extra code – this cell generates and saves Figure 5–2

from sklearn.preprocessing import StandardScaler

Xs = np.array([[1, 50], [5, 20], [3, 80], [5, 60]]).astype(np.float64)
ys = np.array([0, 0, 1, 1])
svm_clf = SVC(kernel="linear", C=100).fit(Xs, ys)

scaler = StandardScaler()
X_scaled = scaler.fit_transform(Xs)
svm_clf_scaled = SVC(kernel="linear", C=100).fit(X_scaled, ys)

plt.figure(figsize=(9, 2.7))
plt.subplot(121)
plt.plot(Xs[:, 0][ys==1], Xs[:, 1][ys==1], "bo")
plt.plot(Xs[:, 0][ys==0], Xs[:, 1][ys==0], "ms")
plot_svc_decision_boundary(svm_clf, 0, 6)
plt.xlabel("$x_0$")
plt.ylabel("$x_1$    ", rotation=0)
plt.title("Unscaled")
plt.axis([0, 6, 0, 90])
plt.grid()

plt.subplot(122)
plt.plot(X_scaled[:, 0][ys==1], X_scaled[:, 1][ys==1], "bo")
plt.plot(X_scaled[:, 0][ys==0], X_scaled[:, 1][ys==0], "ms")
plot_svc_decision_boundary(svm_clf_scaled, -2, 2)
plt.xlabel("$x'_0$")
plt.ylabel("$x'_1$  ", rotation=0)
plt.title("Scaled")
plt.axis([-2, 2, -2, 2])
plt.grid()

save_fig("sensitivity_to_feature_scales_plot")
plt.show()

---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
Cell In[6], line 17
     15 plt.plot(Xs[:, 0][ys==1], Xs[:, 1][ys==1], "bo")
     16 plt.plot(Xs[:, 0][ys==0], Xs[:, 1][ys==0], "ms")
---> 17 plot_svc_decision_boundary(svm_clf, 0, 6)
     18 plt.xlabel("$x_0$")
     19 plt.ylabel("$x_1$    ", rotation=0)

NameError: name 'plot_svc_decision_boundary' is not defined