This page lists down the** practice tests** / **interview questions and answers** for **Logistic** **regression** in** machine learning**. Those wanting to test their machine learning knowledge in relation with logistic regression would find these practice tests very useful. The goal for these **practice** **tests** is to help you check your knowledge in logistic regression machine learning models from time-to-time. More importantly, when you are preparing for **interviews**, these **practice tests** are intended to be handy enough. Those going for **freshers** / **intern** interviews in the area of machine learning would also find these practice tests / interview questions to be very helpful.

This test primarily focus on following concepts related with logistic regression:

- Types of logistic regression (Binomial, Multinomial, Ordinal)
- Logistic function, logit transformation
- Evaluation of logistic regression (AIC, Deviance calculations)

Other tests in this series includes some of the following:

Table of Contents

### Logistic Regression Concepts (Brushing up)

- Types of logistic regression model (Binomial, multinomial, ordinal)
- Logistic regression model is evaluated using some of the following:
- AIC
- Deviance (Null and Residual)
- ROC curve
- Hosmer Lemeshow test
- Psedu R-squared (McFadden R-Squared, Likelihood ration R-squared, Cox and snell R-squared etc)

- Lower the value of AIC, better fitted is the model

### Practice Test

#### Which of the following can be used to evaluate the performance of logistic regression model?

#### Given two model with different AIC value, which one would be preferred model?

#### Deviance is a measure of difference between a _______ model and the _________ model

#### Logistic regression is _________ when the observed outcome of dependent variable are ordered

#### Logit transformation is log of ___________

#### Logistic function is _________

#### Deviance is is a function of _________

#### The odds of the dependent variable equaling a case (given some linear combination x of the predictors) is equivalent to _______

#### Regression coefficients in logistic regression are estimated using ________

#### _________ is analogous to __________ in linear regression

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In case you have not scored good enough, it may be good idea to go through basic **machine learning concepts** in relation with **logistic regression**. Following is the list of some good courses / pages:

- Logistic regression (Wikipedia)
- Logistic regression (PennState Eberly College of Science)
- Logistic regression
- Beginners guide in Logistic regression
- Understanding ROC curve
- Area under ROC curve

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