21. A data professional calculates recall in logistic regression results. They have 91 true positives, 84 true negatives, 6 false positives, and 5 false negatives. What is the calculation for recall?
- 91 / (91 + 5)
- (91 – 6) / (84 – 5)
- 84 / (84 + 6)
- (84 + 5) / 84
22. What technique models the probability of an observation falling into one of two categories, based on one or more independent variables?
- Binomial logistic regression
- Log-odds function
- Maximum likelihood estimation
- Logistic regression
23. What is the logit formula?
- Logarithm of p divided by 1 minus p
- Logarithm of 1 divided by p minus 1
- Logarithm of p plus 1 divided by p
- Logarithm of 1 plus p divided by p
24. Fill in the blank: Maximum likelihood estimation is a technique for estimating the _____ that maximize the likelihood of the model producing the observed data.
- continuous parameters
- continuous coefficients
- beta parameters
- beta coefficients
25. A data professional calculates precision in logistic regression results. They have 101 true positives, 63 true negatives, 4 false positives, and 2 false negatives. What is the calculation for precision?
- (101 + 2) / 4
- 101 / (101 + 4)
- 101 / (63 + 2)
- (63 + 4) / 101
26. A data professional calculates accuracy in logistic regression results. They have 87 true positives, 94 true negatives, and 222 total predictions. What is the calculation for accuracy?
- 87 / (222 – 94)
- (222 – 87 ) / 94
- (87 + 94) / 222
- 222 / (87 + 94)
27. Following the no extreme outliers assumption, when are outliers detected?
- While the model is being fit
- After the model is fit
- Before the model is fit
- Either before or after the model is fit
28. A data professional calculates accuracy in logistic regression results. They have 82 true positives, 75 true negatives, and 202 total predictions. What is the calculation for accuracy?
- (202 – 82) / 75
- 202 / (82 + 75)
- 82 / (202 – 75)
- (82 + 75) / 202
29. A data professional calculates accuracy in logistic regression results. They have 82 true positives, 75 true negatives, and 202 total predictions. What is the calculation for accuracy?
- (145 + 128) / (4 + 2)
- (128 + 2) / 128
- 145 / (145 + 2)
- (4 – 2) / 145