1. What is/are advantage(s) of Distance-weighted k-NN over k-NN?

A) Robust to noisy training data
B) Quite effective when a sufficient large set of training data is provided
C) Both A & B
D) None of these



2. What is/are true about RBF network?

A) A kind of supervised learning
B) Design of NN as curve fitting problem
C) Use of multidimensional surface to interpolate the test data
D) All of these



3. Produces two new offspring from two parent string by copying selected bits from each parent is called

A) Mutation
B) Inheritance
C) Crossover
D) None of these



4. Features of Reinforcement learning

A) Set of problem rather than set of techniques
B) RL is training by reward and
C) RL is learning from trial and error with the
D) All of these



5. Which of the following is a disadvantage of decision trees?

A) Factor analysis
B) Decision trees are robust to outliers
C) Decision trees are prone to be over fit
D) None of the above