ml-specialty video for a medical company has decided to automate the process of cancer screening using machine learning. The Data Science team collected the
A medical company has decided to automate the process of cancer screening using machine learning. The Data Science team collected the company’s patients’ records over five years which consisted of 1,000 positive samples and 20,000 negative samples where positive samples indicate that the patient had cancer. A random forest model was chosen, and the model achieved an accuracy of 98% on the training set, however it performed poorly on the test set scoring 67%, where most of the wrong answers where falsely mistaken the positive case with a negative one, which was far below the company’s business metric. What should the Data Science team do to approach the business metric? (Select TWO.)