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This section includes 13 Mcqs, each offering curated multiple-choice questions to sharpen your Data Science knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
For k cross-validation, smaller k value implies less variance. |
| A. | True |
| B. | False |
| Answer» B. False | |
| 2. |
Which of the following can be used to create the most common graph types? |
| A. | qplot |
| B. | quickplot |
| C. | plot |
| D. | all of the mentioned |
| Answer» B. quickplot | |
| 3. |
Which of the following is a common error measure? |
| A. | Sensitivity |
| B. | Median absolute deviation |
| C. | Specificity |
| D. | All of the mentioned |
| Answer» E. | |
| 4. |
Point out the wrong combination. |
| A. | True negative=correctly rejected |
| B. | False negative=correctly rejected |
| C. | False positive=correctly identified |
| D. | All of the mentioned |
| Answer» D. All of the mentioned | |
| 5. |
FOR_K_CROSS-VALIDATION,_SMALLER_K_VALUE_IMPLIES_LESS_VARIANCE.?$ |
| A. | True |
| B. | False |
| Answer» B. False | |
| 6. |
WHICH_OF_THE_FOLLOWING_CAN_BE_USED_TO_CREATE_THE_MOST_COMMON_GRAPH_TYPES??$ |
| A. | qplot |
| B. | quickplot |
| C. | plot |
| D. | all of the Mentioned |
| Answer» B. quickplot | |
| 7. |
Which of the following method is used for trainControl resampling? |
| A. | repeatedcv |
| B. | svm |
| C. | bag32 |
| D. | none of the Mentioned |
| Answer» B. svm | |
| 8. |
For k cross-validation, larger k value implies more bias. |
| A. | True |
| B. | False |
| Answer» C. | |
| 9. |
Which of the following is a categorical outcome? |
| A. | RMSE |
| B. | RSquared |
| C. | Accuracy |
| D. | All of the Mentioned |
| Answer» D. All of the Mentioned | |
| 10. |
Which of the following is not a machine learning algorithm? |
| A. | SVG |
| B. | SVM |
| C. | Random forest |
| D. | None of the Mentioned |
| Answer» B. SVM | |
| 11. |
Which of the following is common error measure? |
| A. | Sensitivity |
| B. | Median absolute deviation |
| C. | Specificity |
| D. | All of the Mentioned |
| Answer» E. | |
| 12. |
Point out the wrong combination: |
| A. | True negative=correctly rejected |
| B. | False negative=correctly rejected |
| C. | False positive=correctly identified |
| D. | All of the Mentioned |
| Answer» D. All of the Mentioned | |
| 13. |
Which of the following is correct use of cross validation? |
| A. | Selecting variables to include in a model |
| B. | Comparing predictors |
| C. | Selecting parameters in prediction function |
| D. | All of the Mentioned |
| Answer» E. | |