3.2.2.Quiz_From Modeling to Evaluation - sj50179/IBM-Data-Science-Professional-Certificate GitHub Wiki
LATEST SUBMISSION GRADE 80%
Question 1
A training set is used for descriptive modeling.
False
Correct
Question 2
Which of the following is correct, in the context of congestive heart failure readmission?
A false-negative is when a true readmission is misclassified. If no action is taken to reduce the risk, then the cost of the misclassification is the readmission and all the associated costs, plus the trauma to the patient. This is also called a type I error.
A false-positive is when a true, non-readmission is misclassified. If action is taken to reduce the patient's risk, the cost of the misclassification is the wasted intervention. This is also called a type II error.
A false-positive is when a true, non-readmission is misclassified. If action is taken to reduce the patient's risk, the cost of the misclassification is the wasted intervention. This is also called a type I error.
A false-positive is when a true readmission is misclassified. If no action is taken to reduce the risk, then the cost of the misclassification is the readmission and all the associated costs, plus the trauma to the patient. This is also called a type II error.
Correct
Question 3
Which statement best describes the Modeling Stage of the data science methodology?
0 / 1 point
The Modeling stage is followed by the Analytic Approach stage.
Modeling is always based on predictive models.
Modeling always uses training and test sets.
Modeling may require testing multiple algorithms and parameters.
Incorrect
Incorrect. The Modeling stage is followed by the Model Evaluation stage.
Question 4
Model Evaluation includes ensuring that the data are properly handled and interpreted.
True
Correct
Question 5
Select the correct statements about the ROC curve.
1 / 1 point
- By plotting the true-positive rate against the false-positive rate for different values of the relative misclassification cost, the ROC curve can be used to select the optimal model.
Correct
- ROC stands for Receiver Operating Characteristic curve, which was originally developed to detect enemy aircrafts on radar.
Correct
- The ROC curve was originally developed to optimize healthcare and detect congestive heart failure readmission rate.
- The ROC curve is a useful diagnostic tool for determining the optimal classification model.
Correct
LATEST SUBMISSION GRADE 95%
Question 1
Select the correct statement.
A training set is used for predictive modeling.
A training set is used for statistical analysis.
A training set is used for data visualization.
A training set is used for descriptive modeling.
Correct
Question 2
Which of the following is correct, in the context of congestive heart failure readmission?
A false-positive is when a true, non-readmission is misclassified. If action is taken to reduce the patient's risk, the cost of the misclassification is the wasted intervention. This is also called a type II error.
A false-positive is when a true, non-readmission is misclassified. If action is taken to reduce the patient's risk, the cost of the misclassification is the wasted intervention. This is also called a type I error.
A false-positive is when a true readmission is misclassified. If no action is taken to reduce the risk, then the cost of the misclassification is the readmission and all the associated costs, plus the trauma to the patient. This is also called a type II error.
A false-negative is when a true readmission is misclassified. If no action is taken to reduce the risk, then the cost of the misclassification is the readmission and all the associated costs, plus the trauma to the patient. This is also called a type I error.
Correct
Question 3
The Modeling stage is followed by the Analytic Approach stage.
False
Correct
Question 4
Select the correct statement(s) about the Model Evaluation stage of the data science methodology.
0.75 / 1 point
- Model Evaluation includes ensuring that the model is working as intended.
Correct
Correct.
- Model Evaluation includes ensuring the model is designed as intended.
Correct
Correct.
- Model Evaluation includes ensuring that the data are properly handled and interpreted.
Correct
Correct.
-
Model Evaluation cannot include statistical significance testing.
This should not be selected
Incorrect. Model Evaluation can include statistical significance testing.
Question 5
The ROC curve is a useful diagnostic tool for determining the optimal classification model.
True
Correct