Data Mining Nostos | MCQ solution | TCS Fresco Play
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Data Mining Nostos MCQ solution
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_________________________
1. __________ step of classification contributes to the construction of learning model.
Learning Step
2. __________ term portrays the process of discovering small pieces from a large volume of raw material.
Mining
3. Explanatory variable is a
Response Variable
4. Consider an example of an apartment: The number of bedrooms, bathrooms, and the floor of an apartment determines its price.
5. Which is/are the predictor variable(s) in this example?
All
6. Which process of KDD aids in unifying data from different sources?
Data Integration
7. Which among the following is/are (an) outlier detection method(s)?
Clustering(wrong)
8. _________ parameter of regression helps in identifying the direction of relationship between variables.
Regression Coefficient
9. Which among the following is/are (an) Ensemble Classifier
All
10. Regression can be used in predicting/forecasting Applications.
True
11. Identify the application of the Outlier Detection Method.
Intrusion Detection
12. Identify the Unsupervised Learning method.
Clustering
13. Inferential statistics is used in __________ datasets.
Population
14. Which of the following helps in measuring the central tendency of the dataset
--All the options
15. __________ stage of data science process helps in converting raw data into a machine-readable format.
Data Cleaning
16. Derived relationships in Association Rule Mining are represented in the form of __________.
Rules
17. In Association Rules, the Antecedent and Consequent form a disjoint set.
True
18. __________statistics provides inferences on population
Inferential
19. Jacard Index distance measure is used on __________
Non Numeric
20. __________association measure compares the confidence with the expected confidence.
--Lift
21. Distance measure(s) used in clustering process of Numeric Dataset is/are __________.
--all d options
22. __________ outlier significantly deviates based on the context selected.
-Contextual Outlier
23. Descriptive statistics is used in __________ datasets.
--sample
24. The science of collecting, interpreting, and analyzing data is known as __________.
--statistics
25. Classification predicts the value of __________ variable.
--categorical
26. Which of the following association measure helps in identifying how frequently the item appears in a dataset?
--support
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