Question 10
Consider a binary classification problem with a training dataset of 100 points, evenly distributed between two classes (50 points in each class). You decide to train a k-NN algorithm with k = 3. Each point is considered its own neighbor during classification.
Based on the above data, answer the given subquestions.
Assuming there are outliers, the decision boundary becomes smoother with decreasing value of k in a k-NN algorithm.
TRUE
FALSE