A medical company has decided to automate the aws video
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
Full Certification Question
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 positive and negative samples where positive samples indicate that the patient had cancer. An XGBoost model was chosen and the “eval_metric” hyperparameter was set to “validation:error”. The model achieved a high accuracy of 98% in the training dataset and an acceptable 90% accuracy in the test set. On the other hand, the model achieved a low recall of 0.60. The company demanded that the data science team should come up with a solution to this problem as the business metric’s recall was 0.85. What should the Data Science team do to approach the business metric using the same model? (Select TWO.)