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Q 1/8
Score 0
Logistic regressions is used to predict
300
continuous values (e.g. speed)
class (e.g pears, bananas, apples)
binary values (e.g. True or False, 1/0)
rank of values (e.g. grades)
Q 2/8
Score 0
The odds ratio is defined as
300
the ratio of the probability of success over the probability of failure.
the ratio of the probability of failure over the probability of success
the probability of success over the number of samples in the dataset
8 questions
Q.
Logistic regressions is used to predict
1
300 sec
Q.
The odds ratio is defined as
2
300 sec
Q.
If there is a 50% probability that a variable play an role in a research, its odds ratio is...
3
300 sec
Q.
Let's fit a logistic regression to check if cats are obese on the basis of their diet (regular vs hyper-caloric)
Once I run my model, I find that the diet predictor has an odds ratio of 20. I conclude that...
4
300 sec
Q.
The figure shows ROC curves for three logistic regression models. Different colors show curves for different hyper parameters values. Which of the three models is the best according to the ROC curve?
5
300 sec
Q.
What are the odds of getting heads when you have a fair coin?
6
300 sec
Q.
One of the methods to analyze the performance of Logistic Regression is AIC, which is similar to R-Squared in Linear Regression. Which of the following is generally true of AIC?
7
300 sec
Q.
The predictor variable in logistic regression can be:
