Weekly challenge 5
11. Fill in the blank: Binomial logistic regression is a technique that models the probability of an observation falling into one of two categories, based on one or more _____ variables.
- continuous
- categorical
- dependent
- independent
12. A data professional calculates a logarithm of the odds of a given probability. What are they calculating?
- Likelihood
- Precision
- Recall
- Logit
13. What technique estimates the beta parameters that increase the likelihood of the model producing observed data?
- Accuracy
- Maximum likelihood estimation
- Recall
- Precision
14. Which regression assumption states that, if multiple X variables are in a model, they should not be highly correlated with one another?
- No extreme outliers
- Independent observations
- Linearity
- No multicollinearity
15. What graphical representation demonstrates a classifier’s accuracy at predicting the labels for a categorical variable?
- Logistic matrix
- Confusion matrix
- Logistic graph
- Likelihood matrix
16. A data professional calculates precision in logistic regression results. They have 89 true positives, 83 true negatives, 3 false positives, and 1 false negative. What is the calculation for precision?
- (83 + 3) / 89
- 89 / (83 + 1)
- 89 / (89 + 3)
- (89 + 1) / 3
17. A data professional calculates accuracy in logistic regression results. They have 99 true positives, 91 true negatives, and 248 total predictions. What is the calculation for accuracy?
- 99 / (248 – 91)
- (248 – 99 ) / 91
- 248 / (99 + 91)
- (99 + 91) / 248
18. A data professional calculates recall in logistic regression results. They have 99 true positives, 80 true negatives, 7 false positives, and 4 false negatives. What is the calculation for recall?
- 80 / (80 + 7)
- (84 + 4) / 80
- (99 – 7) / (80 – 4)
- 99 / (99 + 4)
Shuffle Q/A 2
20. Fill in the blank: A confusion matrix is a graphical representation of how accurate a classifier is at _____ the labels for a categorical variable.
- organizing
- predicting
- limiting
- spacing