ISYE 6501 Final New Exam Complete Questions And Correct Detailed Solutions Latest Updated Version Just Released

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ISYE 6501 Final New Exam Complete Questions
And Correct Detailed Solutions Latest Updated
Version Just Released



Question: What does it mean when the classifier/decision boundary is almost parallel to the

vertical x-axis? - CORRECT ANSWER✔✔The horizontal attribute is all that is needed.




Question: What does it mean when the classifier/decision boundary is almost parallel to the

horizontal y-axis? - CORRECT ANSWER✔✔The vertical attribute is all that is needed.




Question: what is modularity? - CORRECT ANSWER✔✔a measure of how well the graph is

separated into communities or modules that are connected a lot internally but not connected

much between each other.




Question: what is the downside of the Louvian algorithm - CORRECT ANSWER✔✔It is a heurisic

so its not guaranteed to find the absolute best algorithm, but it gives very good solutions very

quickly

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Question: How do you know when to switch from exploration to exploitation - CORRECT

ANSWER✔✔when a significant difference has been achieved (non-overlapping CIs)




Question: How do you widdle down the options in a multi-armed bandit model when

switching to exploitation - CORRECT ANSWER✔✔See which models have an overlapping

confidence interval of the best model




Question: order linear regression, ridge regession, elastic net and lasso regression in order of

variable selected ascending - CORRECT ANSWER✔✔lasso, elastic net, ridge and linear (tied)




Question: What does the beginning of a graph showing an average x (e.g., wait time) over the

number of replications show? - CORRECT ANSWER✔✔The amount of uncertainty at the

beginning




Question: What do descriptive questions ask? - CORRECT ANSWER✔✔What happened? (e.g.,

which customers are most alike)

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Question: What do predictive questions ask? - CORRECT ANSWER✔✔What will happen? (e.g.,

what will Google's stock price be?)




Question: What do prescriptive questions ask? - CORRECT ANSWER✔✔What action(s) would

be best? (e.g., where to put traffic lights)




Question: What is a model? - CORRECT ANSWER✔✔Real-life situation expressed as math.




Question: What do classifiers help you do? - CORRECT ANSWER✔✔differentiate




Question: What is a soft classifier and when is it used? - CORRECT ANSWER✔✔In some cases,

there won't be a line that separates all of the labeled examples. So we use a classifier that

minimizes the number of mistakes.




Question: What is time-series data? - CORRECT ANSWER✔✔The same data recorded over time

often recorded at equal intervals

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Question: What is quantitative data? - CORRECT ANSWER✔✔Number with a meaning: higher

means more, lower means less (e.g., age, sales, temperature, income)




Question: What is categorical data? - CORRECT ANSWER✔✔Numbers w/o meaning (e.g., zip

codes), non-numeric (e.g., hair color), binary data (e.g., male/female, yes/no, on/off)




Question: Which of these is time series data?


A. The average cost of a house in the United States every year since 1820


B. The height of each professional basketball player in the NBA at the start of the season -

CORRECT ANSWER✔✔A




Question: Which of these is structured data?


A. The contents of a person's Twitter feed


B. The amount of money in a person's bank account - CORRECT ANSWER✔✔B




Question: What is structured data? - CORRECT ANSWER✔✔Data that can be stores in a

structured way