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Question 1 of 10
1. Question
In a given classification table, if the threshold is set at 1, what would be the sensitivity and specificity of the model?
Correct
In a given classification table, as the threshold increases, the sensitivity declines, and the specificity
increases. If the threshold is 1 then the sensitivity is 0 and specificity is said to be 1.Incorrect
In a given classification table, as the threshold increases, the sensitivity declines, and the specificity
increases. If the threshold is 1 then the sensitivity is 0 and specificity is said to be 1. -
Question 2 of 10
2. Question
What does the ROC (Receiver Operating Characteristic) curve do?
Correct
The ROC which is known as the Receiver Operating Characteristic curve plots the sensitivity against specificity for each threshold.
Incorrect
The ROC which is known as the Receiver Operating Characteristic curve plots the sensitivity against specificity for each threshold.
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Question 3 of 10
3. Question
If in the orientation of the axes of the Reciever Operating Characteristic Curve, a value nears zero on the x-axis, what possibly could be the outcome on the y-axis?
Correct
On the ROC, the specificity, generally, is plotted on the horizontal axis, and sensitivity on the vertical axis. With this orientation on the axes, if there is a value of zero on the x-axis that shows high specificity, it implies there should be a low value on the y-axis that shows low sensitivity.
Incorrect
On the ROC, the specificity, generally, is plotted on the horizontal axis, and sensitivity on the vertical axis. With this orientation on the axes, if there is a value of zero on the x-axis that shows high specificity, it implies there should be a low value on the y-axis that shows low sensitivity.
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Question 4 of 10
4. Question
When does the Reciever Operating Characteristic curve is said to have a better predictive ability?
Correct
A ROC curve of good quality rises quickly to 1, in the orientation, the further a curve is to the top left-hand corner, the better it’s said to be its predictive ability.
Incorrect
A ROC curve of good quality rises quickly to 1, in the orientation, the further a curve is to the top left-hand corner, the better it’s said to be its predictive ability.
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Question 5 of 10
5. Question
From which value does the Reciever Operating Characteristic curve start?
Correct
All ROC- Receiver Operating Characteristic curves start at (0,0) and end at (1,1) as these points correspond with the threshold probabilities of 0 and 1.
Incorrect
All ROC- Receiver Operating Characteristic curves start at (0,0) and end at (1,1) as these points correspond with the threshold probabilities of 0 and 1.
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Question 6 of 10
6. Question
What is the difference between ordinal response models and nominal response models in more than two categories?
Correct
Ordinal response models are those in which response categories have a natural ordering but the nominal response models are those in which response categories have no natural ordering.
Incorrect
Ordinal response models are those in which response categories have a natural ordering but the nominal response models are those in which response categories have no natural ordering.
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Question 7 of 10
7. Question
What is the advantage of Zero-adjusted inverse Gaussian regression?
Correct
The advantage found in the setup of the ‘Zero-adjusted inverse Gaussian regression’ is that it models the sizes for claims unconditionally. The setup allows explanatory variables to put an effect on each of the probability for a claim π, for the mean claim size μ, and for the dispersion of claim size σ.
Incorrect
The advantage found in the setup of the ‘Zero-adjusted inverse Gaussian regression’ is that it models the sizes for claims unconditionally. The setup allows explanatory variables to put an effect on each of the probability for a claim π, for the mean claim size μ, and for the dispersion of claim size σ.
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Question 8 of 10
8. Question
Logistic regression is implemented in which program out of these?
Correct
Logistic regression is implemented in proc gen mod using dist=bin or binomial
Incorrect
Logistic regression is implemented in proc gen mod using dist=bin or binomial
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Question 9 of 10
9. Question
What are the Probability functions used for?
Correct
Probability functions are a mathematical tool to describe uncertain situations or where outcomes are subject to change.
Incorrect
Probability functions are a mathematical tool to describe uncertain situations or where outcomes are subject to change.
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Question 10 of 10
10. Question
The Bernoulli distribution admits only two possible outcomes, 0 & 1, what would it denote if the given outcome is a success?
Correct
The Bernoulli distribution admits only two possible outcomes, which are coded as 0 or 1 and hence Ω = {0, 1}. The event y = 1 is called a “success,” the other, y = 0, a “failure.”
Incorrect
The Bernoulli distribution admits only two possible outcomes, which are coded as 0 or 1 and hence Ω = {0, 1}. The event y = 1 is called a “success,” the other, y = 0, a “failure.”