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BIDA 630 DATA ANALYTICS QUESTIONS AND CORRECT ANSWERS | LATEST UPDATE
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Identify whether the task required is supervised or unsupervised learning: Deciding whether to issue a loan to an applicant based on demographic and financial data (with reference to a database of similar data on prior customers). - Supervised - Unsupervised -:- Supervised This is supervis...

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  • September 17, 2024
  • 29
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers

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  • bida 630 data analytics questions and correct answ
  • identify whether the task required is supervised o

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2024 /2025 | © copyright | This work may not be copied for profit gain | Excel!




BIDA 630 DATA ANALYTICS
QUESTIONS AND CORRECT ANSWERS |
LATEST UPDATE
Identify whether the task required is supervised or unsupervised learning: Deciding whether

to issue a loan to an applicant based on demographic and financial data (with reference to a

database of similar data on prior customers).




- Supervised


- Unsupervised


✓ -:- Supervised




This is supervised learning, because the database includes whether the loan was approved or

not.




Identify whether the task required is supervised or unsupervised learning: Printing of custom

discount coupons at the conclusion of a grocery store checkout based on what you just

bought and what others have bought previously.




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,2024 /2025 | © copyright | This work may not be copied for profit gain | Excel!




- Supervised


- Unsupervised


✓ -:- Unsupervised




This is unsupervised learning, if we assume that we do not know what will be purchased in

the future.




The test data are used to build models, or to further tweak the model or improve its fit.




- True


- False


✓ -:- False




The test data are not used to build models, or to further tweak the model or improve its fit.

(If the test data were used for these purposes, they would play a role in building or selecting

the best model, and would no longer provide an unbiased assessment of the chosen model's

performance with completely new data.)




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, 2024 /2025 | © copyright | This work may not be copied for profit gain | Excel!




_____________ of data is used to assess the performance of each supervised learning

model so that we can compare models and pick the best one.




- The test partition


- The validation partition


✓ -:- Validation




The validation partition is used to assess the performance of each supervised learning model

so that we can compare models and pick the best one. In some algorithms (e.g.,

classification and regression trees, k-nearest neighbors) the validation partition may be used

in automated fashion to tune and improve the model. This means that the validation data

are actually used to help build the model.




When a model is fit to training data, zero error with those data is not necessarily good. This

special case is called ______.




- Overestimating


- Good fit


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