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Quiz 1 - Results X Attempt 1 of 1 Written Sep 20, 2023 6:35 PM - Sep 20, 2023 6:42 PM Attempt Score 4/5-80% Overall Grade (Highest Attempt) 4/5-80% Question 1 1/ 1 point Which of the following is NOT a common type of machine learning? Supervised Learning Unsupervised Learning « o Regulated Learning Reinforcement Learning Question 2 1/ 1 point Which of the following statements about the k-Nearest Neighbors (kNN) algorithm are true? (Select all that apply.) « The choice of distance metric (e.g., Euclidean, Manhattan) can significantly affect kNN's performance. ~ ~ kNN is a lazy learner, meaning it doesn't build an explicit model during training and defers computation until classification. v +~ As kincreases, the decision boundary becomes smoother and less sensitive to noise in the data. « kNN can only be used for classification problems and not for regression. Question 3 1/ 1 point In the k-Nearest Neighbors (kNN) algorithm, a larger value of k always results in a more accurate model. True v (@ False Question 4 0/ 1 point Which of the following best describes Machine Learning? = The study of algorithms that allow computers to improve through experience. The study of algorithms that allow computers to run applications. The practice of manually coding rules for specific tasks. % o The analysis of large datasets for statistical inference without any pattern recognition. Question 5 1/ 1 point How does the k-Nearest Neighbors (kNN) algorithm determine the class of a new data point? By using gradient descent to adjust the point's position. By taking the average of the k-nearest training points. By computing the median value of its k-nearest training points. v o By finding the class that appears most frequently among its k-nearest training points.