Question 1 :
The major voting process is consider to be?
Options :
a. Sampling
b. Bagging
c. High Variance
d. None of these
Answer :
b. Bagging
Question 2 :
The target attributes indicates the value of?
Options :
a. Leaf Node
b. Decision Node
c. Path
d. Arc/Edge
Answer :
a. Leaf Node
Question 3 :
Split of one attribute is said to be?
Options :
a. Leaf Node
b. Decision Node
c. Path
d. Arc/Edge
Answer :
d. Arc/Edge
Question 4 :
Increase in Training time will tends to
Options :
a. Decreased of Size
b. Increased of Size
c. Constant Size
d. None of
the above.
Answer :
b. Increased of Size
Question 5 :
For each Split the number of random attributes tested are tends to
be
Options :
a. Sensitive
b. Insensitive
c. Fairly insensitive
d. None of the above
Answer :
c. Fairly insensitive
Question 6 :
Trees generate fast because it have to test?
Options :
a. No Pruning
b. Fewer Attributes
c. Both a and B
d. Either a or b
Answer :
b. Fewer Attributes
Question 7 :
In Random Forest the Memory requirement for the storage
process?
Options :
a. High Memory
b. Low Memory
c. No Memory
d. None of the
Above
Answer :
a. High Memory
Question 8 :
When Increase in the ensemble size will leads to ?
Options :
a. Low Storage
b. High Error Rate
c. Low Error Rate
d. Less Time
Answer :
c. Low Error Rate
Question 9 :
By starting at the root of the tree and moving through it until?
Options :
a. Leaf Node
b. Decision Node
c. Path
d. Arc/Edge
Answer :
a. Leaf Node
Question 10 :
The use of multiple trees to be most effective the trees then it
should be?
Options :
a. Dependent
b. Independent
c. Constant
d. None of these
Answer :
b. Independent
Question 11 :
How Much trees are used for Random Forest ?
Options :
a. 5 to 10
b. 50 to 100
c. 5 to 100
d. Unpredictable
Answer :
c. 5 to 100
Question 12 :
A disjunction of test to make the final decision?
Options :
a. Leaf Node
b. Decision Node
c. Path
d. Arc/Edge
Answer :
c. Path
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