What does the ROC curve plot for a binary classifier?

True positives against false negatives at various threshold settings

True positive rate against false positive rate at various threshold settings

Precision against recall at various threshold settings

Accuracy against the number of training iterations

A marketing team wants to predict whether a customer will respond to a campaign (yes/no) using age, income, and past purchase history. They notice the relationship between age and response is non-linear: both young and old customers respond more than middle-aged. What is the best approach?

Remove age from the model because it is not linear

Use logistic regression with a quadratic term for age

Use linear regression on the binary outcome

Use logistic regression without any transformation of age

Dell Data Science Foundations

Domain 4Objective 4

Logistic Regression DATA-SCIENCE-FOUNDATIONS Practice Questions (Page 4)

Part of the Advanced Analytics - Theory, Application, and Interpretation of Results for Eight Methods domain, which accounts for 40% of the DATA-SCIENCE-FOUNDATIONS exam.

25questions here

5free pages

8concepts

40%of the exam

Questions 16–20

16foundation · easy
What does the ROC curve plot for a binary classifier?
Select an answer first
17foundation · easy
What is the range of the sigmoid function used in logistic regression?
Select an answer first
18application · medium
A fraud detection model is evaluated on a test set with 1% fraud cases. The confusion matrix shows: True Positives=50, False Negatives=10, True Negatives=9,800, False Positives=140. Which metric is most informative for minimizing the cost of missing fraud cases?
Select an answer first
19application · easy
A logistic regression model predicts the probability of a patient having a disease. The intercept is -2.0 and the coefficient for a biomarker is 1.5. For a patient with biomarker value 2, what is the predicted log-odds?
Select an answer first
20application · medium
A marketing team wants to predict whether a customer will respond to a campaign (yes/no) using age, income, and past purchase history. They notice the relationship between age and response is non-linear: both young and old customers respond more than middle-aged. What is the best approach?
Select an answer first

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Logistic Regression DATA-SCIENCE-FOUNDATIONS Practice Questions (Page 4)

Questions 16–20

What does the ROC curve plot for a binary classifier?

What is the range of the sigmoid function used in logistic regression?

A fraud detection model is evaluated on a test set with 1% fraud cases. The confusion matrix shows: True Positives=50, False Negatives=10, True Negatives=9,800, False Positives=140. Which metric is most informative for minimizing the cost of missing fraud cases?

A logistic regression model predicts the probability of a patient having a disease. The intercept is -2.0 and the coefficient for a biomarker is 1.5. For a patient with biomarker value 2, what is the predicted log-odds?

A marketing team wants to predict whether a customer will respond to a campaign (yes/no) using age, income, and past purchase history. They notice the relationship between age and response is non-linear: both young and old customers respond more than middle-aged. What is the best approach?

Keep studying — Advanced Analytics - Theory, Application, and Interpretation of Results for Eight Methods