Question:

What is Model Selection in Machine Learning?

A.

the process of selecting models among different mathematical models, which are used to describe the same data set

B.

when a statistical model describes random error or noise instead of underlying relationship

C.

find interesting directions in data and find novel observations/ database cleaning

D.

all above

Answer» a. the process of selecting models among different mathematical models, which are used to describe the same data set

Question:

The effectiveness of an SVM depends upon:

A.

selection of kernel

B.

kernel parameters

C.

soft margin parameter c

D.

all of the above

Answer» a. selection of kernel

Question:

Which of the following are supervised learning applications

A.

spam detection, pattern detection, natural language processing

B.

image classification, real-time visual tracking

C.

autonomous car driving, logistic optimization

D.

bioinformatics, speech recognition

Answer» a. spam detection, pattern detection, natural language processing

Question:

Which of the following are several models

A.

regression

B.

classification

C.

none of the above

Answer» c. none of the above

Question:

Supervised learning and unsupervised clustering both require which is correct according to the statement.

A.

output attribute.

B.

hidden attribute.

C.

input attribute.

D.

categorical attribute

Answer» c. input attribute.

Question:

scikit-learn offers the class           , which is responsible for filling the holes using a strategy based on the mean, median, or frequency

A.

labelencoder

B.

labelbinarizer

C.

dictvectorizer

D.

imputer

Answer» d. imputer

Question:

Can we extract knowledge without apply feature selection

A.

yes

B.

no

Answer» a. yes

Question:

Which of the following scale data by removing elements that don’t belong to a given range or by considering a maximum absolute value.

A.

minmaxscaler

B.

maxabsscaler

C.

both a & b

D.

none of the mentioned

Answer» c. both a & b

Question:

Which of the following is an example of a deterministic algorithm?

A.

pca

B.

k-means

C.

none of the above

Answer» a. pca

Question:

Which of the following isnotsupervised learning?

A.

pca

B.

decision tree

C.

naive bayesian

D.

linerar regression

Answer» a. ��pca