Consider the Following Code: Import Numpy as Np

Multiple Choice

Consider the following code: import numpy as np
Index = np.random.choice(np.arange(len(X_train) ) , 24, replace=False)
Figure, axes = plt.subplots(nrows=4, ncols=6, figsize=(16, 9) )
For item in zip(axes.ravel() , X_train[index], y_train[index]) :
Axes, image, target = item
Axes.imshow(image, cmap=plt.cm.gray_r)
Axes.set_xticks([]) # remove x-axis tick marks
Axes.set_yticks([]) # remove y-axis tick marks
Axes.set_title(target)
Plt) tight_layout()
Which of the following statements a) , b) or c) is false?

A) NumPy's choice function (from the numpy.random module) selects the number of elements specified in its second argument from the front of the array of values in its first.
B) The choice function returns an array containing the selected values, which we store in index.
C) The expressions X_train[index] and y_train[index] use index to get the corresponding elements from both arrays.
D) All of the above statements are true.