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Exam (elaborations)

BADM 211 FINAL EXAM 2024/2025 WITH 100% ACCURATE SOLUTIONS

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  • BADM 211
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  • BADM 211

BADM 211 FINAL EXAM 2024/2025 WITH 100% ACCURATE SOLUTIONS

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  • October 21, 2024
  • 32
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • BADM 211
  • BADM 211
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YANCHY
BADM 211 FINAL EXAM 2024/2025 WITH 100%
ACCURATE SOLUTIONS


The marketing department of ACME Corporation needs to identify potential high-value customers for
their new Kitchen Robot. These robots are expensive, so we are looking to identify customers that can
afford such a machine. It's been determined that households with a net income greater than $50,000
USD are of interest in the marketing campaign, so you will choose a(n) ___________ algorithm to model
these customers.



classification

regression

affinity analysis

recommender system - Precise Answer ✔✔classification



Reducing the number of predictors to the smallest set that will still provide accurate predictions is a
concept called ____________________.



regeneration

parsimony

shrinkage

Gillette's razor - Precise Answer ✔✔parsimony



You have been given a dataset with 15 predictors and a binary outcome that denotes whether a
customer has left the company (yes or no). As an absolute minimum, you'll need _____________
samples to achieve an minimally accurate prediction.



150

180

190

200 - Precise Answer ✔✔180

,You have been given a dataset with 15 predictors and a numeric outcome that denotes the income that
a household has obtained. As an absolute minimum, you'll need _____________ samples to achieve an
minimally accurate prediction.



200

180

300

150 - Precise Answer ✔✔150



The process of identifying outliers is best performed by someone with domain knowledge as opposed to
someone with statistical knowledge.



True

False - Precise Answer ✔✔True



If you impute a missing value with its column mean, then you will ___________________.



maximize the variability of the dataset

overweight the variability of the dataset

understate the variability of the dataset

normalize the variability of the dataset - Precise Answer ✔✔understate the variability of the dataset



Standardization uses the following formula:



Using the rule-of-thumb method, one can assume that all extreme values (outliers) will be greater than
____________ or less than ____________.



0, 1

1, 0

,+3, -3

+1, -1 - Precise Answer ✔✔+3, -3



In contrast to standardization, normalization (i.e., MinMaxScaler in sci-kit learn) fits all values between
__________________.



-3 and +3

0 and 1

a lower and an upper boundary selected by the data analyst

-infinity, +infinity - Precise Answer ✔✔a lower and an upper boundary selected by the data analyst



Overfitting occurs when ___________________ is low, which makes ______________ higher.



variance, bias

bias, variance

irreducible error, reducible error

sampling, accuracy - Precise Answer ✔✔bias, variance



As a means to control excessive bias, we can use ______________.



data partitions

dimension reduction

standardization

normalization - Precise Answer ✔✔data partitions



When dealing with a class imbalance in a classification model, the data analyst can _____________ the
minority class or ________________ the majority class.



underweight, overweight

, underweight, oversample

subsample, oversample

overweight, underweight - Precise Answer ✔✔overweight, underweight



You are given a dataset that has many duplicate entries, that is customers who appear multiple times in
the data because of address changes, marriages, and mis-entries (boulevard instead of blvd., etc.)
Because of this situation, you will choose a(n) __________ algorithm to

clean up the dataset.



dimension reduction

data reduction

adaptive filtering

collaborative filtering - Precise Answer ✔✔data reduction



When working with linear or logistic regression, categorical variables must have one subtype removed
when one-hot encoding (dummy coding) or else the model will fail.



True

False - Precise Answer ✔✔True



Because machine learning is automated, there is not any human bias or discrimination in the results.



True

False - Precise Answer ✔✔False



An individual's behavior can be psychologically manipulated through the analysis of their Facebook data.



True

False - Precise Answer ✔✔True

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