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Logistic Regression

Total questions: 8

Worksheet time: 6mins

Name
Class
Date
1.

What is the range of values of a logistic function?

a)

()\infty\ -\ \left(-\infty\right)

b)

0 - 1

2.

Logistic regression a supervised machine learning algorithm

a)

True

b)

False

3.

Logistic regression mainly used for Regression

a)

True

b)

False

4.

What are odds?

a)

It is the ratio of the probability of an event occurring to the probability of the event not occurring.

b)

It is the ratio of the probability of an event occurring to the probability of the sum of all events.

c)

It is the ratio of the probability of an event not occurring to the probability of the event occurring.

d)

It is the ratio of the probability of an event not occurring to the probability of the event not occurring.

5.

What is a logistic function?

a)

f(z)=1/(1+ez)f(z)=1/(1+e^{-z})

b)

f(z)=1/(1+ez)f(z)=1/(1+e^z)

c)

f(z)=1/(1+ez)+1/(1+ez)f(z)=1/(1+e^{-z})+1/(1+e^{-z})

d)

1/(1+ez) 1/(1+ez)1/(1+e^{-z})-\ 1/(1+e^{-z})

6.

Suppose you have been given a fair coin and you want to find out the odds of getting heads. Which of the following option is true for such a case?

a)

odds will be 0

b)

odds will be 0.5

c)

odds will be 1

d)

None of these

7.

The logit function(given as l(x)) is the log of odds function. What could be the range of logit function in the domain x=[0,1]?

a)

(– ∞ , ∞)

b)

(0,1)

c)

(0, ∞)

d)

(- ∞, 0)

8.

Below are the three scatter plot(A,B,C left to right) and hand drawn decision boundaries for logistic regression.

  • Which of the following above figure shows that the decision boundary is overfitting the training data?
a)

A

b)

B

c)

C

d)

No overfitting