Explore topic-wise MCQs in Data Science.

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.