41
What are tree based classifiers?
A)
classifiers which form a tree with each attribute at one level
B)
classifiers which perform series of condition checking with one attribute at a time
C)
both options except none
D)
not possible
Answer & Solution
Answer: Option
C
42
Suppose you are given 'n' predictions on test data by 'n' different models (M1, M2, .... Mn) respectively. Which of the following method(s) can be used to combine the predictions of these models?
A)
1, 3 and 4
B)
1,3 and 6
C)
1,3, 4 and 6
D)
all of above
Answer & Solution
Answer: Option
D
43
The "curse of dimensionality" referes
A)
all the problems that arise when working with data in the higher dimensions, that did not exist in the lower dimensions.
B)
all the problems that arise when working with data in the lower dimensions, that did not exist in the higher dimensions.
C)
all the problems that arise when working with data in the lower dimensions, that did not exist in the lower dimensions.
D)
all the problems that arise when working with data in the higher dimensions, that did not exist in the higher dimensions.
Answer & Solution
Answer: Option
A
44
What is Decision Tree?
A)
flow-chart
B)
structure in which internal node represents test on an attribute, each branch represents outcome of test and each leaf node represents class label
C)
both a and b
D)
none of the above
Answer & Solution
Answer: Option
D
45
Which one of these is a tree based learner?
A)
rule based
B)
bayesian belief network
C)
bayesian classifier
D)
random forest
Answer & Solution
Answer: Option
D
46
It's possible to specify if the scaling process must include both mean and standard deviation using the parameters . . . . . . . .
A)
with_mean=True/False
B)
with_std=True/False
C)
Both A & B
D)
None of the Mentioned
Answer & Solution
Answer: Option
C
47
Consider the following dataset. x,y,z are the features and T is a class(1/0). Classify the test data (0,0,1) as values of x,y,z respectively.
A)
0
B)
1
C)
0.1
D)
0.9
Answer & Solution
Answer: Option
B
48
The term . . . . . . . . can be freely used, but with the same meaning adopted in physics or system theory.
A)
Accuracy
B)
Cluster
C)
Regression
D)
Prediction
Answer & Solution
Answer: Option
D
49
Bootstrapping allows us to
A)
choose the same training instance several times.
B)
choose the same test set instance several times.
C)
build models with alternative subsets of the training data several times.
D)
test a model with alternative subsets of the test data several times.
Answer & Solution
Answer: Option
A
50
What can be major issue in Leave-One-Out-Cross-Validation(LOOCV)?
A)
low variance
B)
high variance
C)
faster runtime compared to k-fold cross validation
D)
slower runtime compared to normal validation
Answer & Solution
Answer: Option
B
