You are a Data Scientist working for an e-commerce aws video
machine-learning video for you are a Data Scientist working for an e-commerce company that is developing a machine learning model to predict whether a customer
Full Certification Question
You are a Data Scientist working for an e-commerce company that is developing a machine learning model to predict whether a customer will make a purchase based on their browsing behavior. You need to evaluate the model's performance using different evaluation metrics to understand how well the model is predicting the positive class (i.e., customers who will make a purchase). The dataset is imbalanced, with a small percentage of customers making a purchase. Given this context, you must decide on the most appropriate evaluation techniques to assess your model's effectiveness and identify potential areas for improvement. Which of the following evaluation techniques and metrics should you prioritize when assessing the performance of your model, considering the dataset's imbalance and the need for a comprehensive understanding of both false positives and false negatives? (Select two)