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:
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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