Supervised Learning Concept with MCQs

Supervised Learning with Expected MCQs

Let's practice some important MCQs on Supervised Learning:-

Q1) Which of the following is a good test dataset characteristic?

a)Large enough to yield meaningful results

b)Is representative of the dataset as a whole

c)Both A and B

d)None of the above

Ans = C

Q2) 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

Ans = C

Major issues to consider in supervised learning:-

(Very important concept for Semester exam as well as  in Competitive exam also you can expect questions from this topic)

1. Bias-variance tradeoff
2. Function complexity and amount of training data
3. Dimensionality of the input space
4. Noise in the output values
5. Computational learning theory
6. Inductive bias
7. Overfitting (machine learning)
8. Class membership probabilities