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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. | |