Logistic Regression

Logistic Regression

Professional Development

8 Qs

quiz-placeholder

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Logistic Regression

Logistic Regression

Assessment

Quiz

Science

Professional Development

Medium

Created by

Amjad Khalid

Used 160+ times

FREE Resource

8 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

What is the range of values of a logistic function?

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

0 - 1

2.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Logistic regression a supervised machine learning algorithm

True

False

3.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Logistic regression mainly used for Regression

True

False

4.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

What are odds?

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

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

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

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

5.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

What is a logistic function?

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

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

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

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

6.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

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?

odds will be 0

odds will be 0.5

odds will be 1

None of these

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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]?

(– ∞ , ∞)

(0,1)

(0, ∞)

(- ∞, 0)

8.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

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

B

C

No overfitting