Question 1
What distinguishes supervised learning from unsupervised learning?
Question 2
In classification, how is accuracy defined?
Question 3
Which ensemble learning method builds multiple decision trees and averages their predictions?
Question 4
In a single-layer perceptron, which activation function outputs 1 if the input exceeds a threshold and 0 otherwise?
Question 5
Which algorithm partitions data into k clusters by minimizing the sum of squared distances between points and their cluster centroids?
