The variables validation_accuracy and train_accuracy in WQI.ipynb not defined

[aqArshad566]

validation_accuracy in the function below is not defined.

`#` a simple report
for key in sorted(validation_accuracy.keys()):
    print("L2 penalty = %g" % key)
    print("train error = %s, validation_error = %s" % (train_error[key], validation_error[key]))
    print("--------------------------------------------------------------------------------")

train_accuracy is not defined

`# Ploting error on training and validation sets over choice of L2 penalty.
plt.rcParams['figure.figsize'] = 10, 6

sorted_list = sorted(train_accuracy.items(), key=lambda x:x[0])
plt.plot([p[0] for p in sorted_list], [p[1] for p in sorted_list], 'bo-', linewidth=4, label='Training error')
sorted_list = sorted(validation_accuracy.items(), key=lambda x:x[0])
plt.plot([p[0] for p in sorted_list], [p[1] for p in sorted_list], 'ro-', linewidth=4, label='Validation error')
plt.xscale('symlog')
plt.axis([0, 1e5, 2000, 8000])
plt.legend(loc='lower left')
plt.rcParams.update({'font.size': 18})
plt.tight_layout`