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Machine Learning Quiz

Total questions: 17

Worksheet time: 9mins

Name
Class
Date
1.

unsupervised learning with

a)

lablelddate

b)

unlablelddate

2.

Decision tree is considered:

a)

Supervised learning

b)

Unsupervised learning

c)

Reinforcement learning

d)

none of the above

3.

KNN is considered:

a)

Supervised learning

b)

Unsupervised learning

c)

reinforcement learning

d)

none of the above

4.

ANN usually has more layers than Deep Learning. (True / False)

a)

True

b)

False

5.

What is the form of Fuzzy logic?

a)

Two valued logic

b)

Crisp set logic

c)

Many valued logic

d)

Binary set logic

6.

Fuzzy logic is extension of Crisp set with an extension to handle Partial Truth.

a)

True

b)

False

7.

The values of the set membership is represented by ___________

a)

Discrete Set

b)

Degree of truth

c)

Probabilities

d)

Both Degree of truth & Probabilities

8.

Japanese were the first to utilize fuzzy logic practically on high-speed trains.

a)

True

b)

False

9.

Defuzzification is to derive a single crisp value from a set of fuzzy conclusions. (T / F)

a)

TRUE

b)

FALSE

10.

COG is a method used for.

a)

fuzzification

b)

defuzzification

11.

John McCarthy coined the term Artificial Intelligence in

a)

1970

b)

1950

c)

1956

d)

1954

12.

IF that all the weights = 2, and x1 = x2 = 2 and x3 = x4 = 3, bk = 0 TEEN vk =

a)

18

b)

19

c)

20

d)

21

13.

In machine learning, overfitting occurs when:

a)

The model is trained on too little data

b)

The model performs well on training data but poorly on unseen data

14.

Which of the following algorithms is used for clustering?

a)

Linear Regression

b)

K-Means

c)

Logistic Regression

d)

Support Vector Machine

15.

In fuzzy logic, the term 'fuzzification' refers to:

a)

The process of converting crisp values to fuzzy values

b)

The process of converting fuzzy values to crisp values

16.

Which of the following is a characteristic of supervised learning?

a)

It does not require labeled data

b)

It requires labeled data

17.

Which of the following best describes reinforcement learning?

a)

Learning through trial and error

b)

Learning without any feedback

c)

Learning from labeled data

d)

Learning from static datasets