1-What is the value of information gain of attribute size?

Select one:

a. 0.523

b. 0.543

c. 0.439

d. 0.459

e. 0.0

2-What is the value of information gain of attribute color?

Select one:

a. 0.459

b. 0.523

c. 0.439

d. 0.543

e. 0.0

3 What is the value of information gain of attribute shape?

Select one:

a. 0.543

b. 0.459

c. 0.0

d. 0.439

e. 0.523

4 Which attribute can be a root of the decision tree?

Select one:

a. shape or size

b. size

c. color or shape

d. shape

e. color

8 11. Given a training data set: Shape Size Class Example Color big A Square red big Square round small B red square small green. 5 red round big A 6 green Square big B Entropy (D) E 2- p log2 (pi) i l Gain (D,A) Entropy (D) D Entropy D) -SC- D: A given data partition A: Attribute v: Suppose we were partition the tuples in Don some attribute A having v distinct values D is split into v partition or subsets, (Dv D2, Djh, where Dj contains those tupes in D that have outcome a, ofA