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Logit Regression Test - Machine Learning
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Questions in this quiz (17)
1Logit uses a reference line as relation between dependent & independents
- ATrue
- BFalse
2An Exp(B) value (eB) of 0.80 for a significant variable means the dependent variable will increase an 80% with one unit change on the independent variable (holding the other fixed)
- ATrue
- BFalse
3Specificity is something we would want it low in our model
- ATrue
- BFalse
4ROC Curve helps to balance errors from a Logit Regression model
- ATrue
- BFalse
5Stepwise method will select the best variables for the analysis, although some of them will be non-significant
- ATrue
- BFalse
6If we wanted to be more restrictive on our model, we would move to the left in the ROC Curve
- ATrue
- BFalse
7Sensitivity is True Positive rate
- ATrue
- BFalse
8Every dot in the ROC curve is a different model
- ATrue
- BFalse
9Logit Regression minimum sample size is approx. 20 to 25 degrees of freedom
- ATrue
- BFalse
10False Positives are 20
- ATrue
- BFalse
11Precision is greater than Recall
- ATrue
- BFalse
12Specificity is 40/50
- ATrue
- BFalse
13False Positive rate is 20/50
- ATrue
- BFalse
14Sensitivity is 30
- ATrue
- BFalse
15Accuracy is 70%
- ATrue
- BFalse
16If we decrease the threshold that produced this table, the value 10 would decrease
- ATrue
- BFalse
17If we increase the threshold that produced this table, the value 60 would decrease
- ATrue
- BFalse
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- Description
- Informática Quiz on Logit Regression Test - Machine Learning, created by Angel Intriago on 12/12/2021.
- Author
- Angel Intriago
- Language
- English
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