1. How well a model is going to generalize in new environment is known as

A) Data Quality
B) Transparent
C) Implementation
D) None of these



2. Which of the following is not a supervised learning?

A) Naive Bayesian
B) PCA
C) Linear Regression
D) Decision Tree Answer



3. Which of the following are not numerical functions in the various function representation of Machine Learning?

A) Neural Network
B) Support Vector Machines
C) Case-based
D) Linear Regression



4. FIND-S Algorithm starts from the most specific hypothesis and generalize it by considering only

A) Negative
B) Positive
C) Negative or Positive
D) None of the above



5. Inductive learning takes examples and generalizes rather than starting with

A) Inductive
B) Existing
C) Deductive
D) None of these