Forwarding the example by @ritiek, I'm a beginner in ML too, maybe this kind of formatting will help see the name instead of just class number.
images = np.vstack([x, y])
prediction = model.predict(images)
print(prediction)
i = 1
for things in prediction:
if(things == 0):
print('%d.It is cancer'%(i))
else:
print('%d.Not cancer'%(i))
i = i + 1