Question 1 -What is the main difference between supervised and unsupervised learning? Give an example for each. (2 points) Question 2 - You need to build a system that automatically extracts social security numbers (SSN). Should you solve this problem using machine learning classifiers? Why or why not? (2 points) Question 3-What is the "naive part in a Naive Bayes Classifier? (1 point) Question 4 - Calculate the precision, recall, and F1-score from the following system output. To simplify this problem, we only have 4 samples. (2 points) Sample #1 Sample #2 Sample #3 Sample #4 System Prediction YES NO YES YES Gold Standard NO YES YES YES