MCQOPTIONS
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MCQOPTIONS
This section includes 657 Mcqs, each offering curated multiple-choice questions to sharpen your Testing Subject knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
For most classification models, each predictor will have a separate variable importance for each class. |
| A. | True |
| B. | False |
| Answer» B. False | |
| 2. |
Which of the following argument is used to set importance values? |
| A. | scale |
| B. | set |
| C. | value |
| D. | all of the mentioned |
| Answer» B. set | |
| 3. |
Which of the following model sums the importance over each boosting iteration? |
| A. | Boosted trees |
| B. | Bagged trees |
| C. | Partial least squares |
| D. | None of the mentioned |
| Answer» B. Bagged trees | |
| 4. |
The advantage of using a model-based approach is that is more closely tied to the model performance. |
| A. | True |
| B. | False |
| Answer» B. False | |
| 5. |
Which of the following function tracks the changes in model statistics? |
| A. | varImp |
| B. | varImpTrack |
| C. | findTrack |
| D. | none of the mentioned |
| Answer» B. varImpTrack | |
| 6. |
Which of the following curve analysis is conducted on each predictor for classification? |
| A. | NOC |
| B. | ROC |
| C. | COC |
| D. | All of the mentioned |
| Answer» C. COC | |
| 7. |
varImp is a wrapper around the evimp function in the _______ package. |
| A. | numpy |
| B. | earth |
| C. | plot |
| D. | none of the mentioned |
| Answer» C. plot | |