1. What is needed to make probabilistic systems feasible in the world?

A) Reliability
B) Crucial robustness
C) Feasibility
D) None of the above



2. Genetic Algorithm is a part of

A) Evolutionary Computing
B) inspired by Darwin - s theory about evolution - - survival of the fittest
C) are adaptive heuristic search algorithm based on the evolutionary ideas of natural selection and genetics
D) All of the above



3. Feature need to be identified by using Well Posed Learning Problem:

A) Class of tasks
B) Performance measure
C) Training experience
D) All of these



4. A way to ensemble multiple classifications or regression

A) Stacking
B) Bagging
C) Blending
D) Boosting



5. What is the approach of basic algorithm for decision tree induction?

A) Greedy
B) Top Down
C) Procedural
D) Step by Step