MCQOPTIONS
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This section includes 5 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. |
PCA is most useful for non linear type models. |
| A. | True |
| B. | False |
| Answer» C. | |
| 2. |
Which of the following is one of the largest boost subclass in boosting? |
| A. | variance boosting |
| B. | gradient boosting |
| C. | mean boosting |
| D. | all of the mentioned |
| Answer» C. mean boosting | |
| 3. |
Which of the following is statistical boosting based on additive logistic regression? |
| A. | gamBoost |
| B. | gbm |
| C. | ada |
| D. | mboost |
| Answer» B. gbm | |
| 4. |
Which of the following library is used for boosting generalized additive models? |
| A. | gamBoost |
| B. | gbm |
| C. | ada |
| D. | all of the mentioned |
| Answer» B. gbm | |
| 5. |
Which of the following method options is provided by train function for bagging? |
| A. | bagEarth |
| B. | treebag |
| C. | bagFDA |
| D. | all of the mentioned |
| Answer» E. | |