Your boss provides you with an image dataset in which some of the images contain your company’s logo, and others contain competitors’ logos. You are tasked to code up a classifier to distinguish your company’s logos from competitors’ logos. You complete the assignment quickly and even send your boss your code for training the classifier, but your boss says there is a problem: when running your code on a data set where the images are assigned random labels, the classifier achieved perfect accuracy on the training set. Do you agree that this is a problem? Justify your answer.