Problem: Suppose you are given a dataset of cellular images from patients with and without cancer and that you are required to train a classifier that predicts the probability that the patient has cancer. The dataset has 900 cancer-free images and 100 images from cancer patients. If I train a classifier which achieves 95% accuracy on this dataset, should we consider this to be a good classifier? Explain your answer in a sentence or two.