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ISYE 6501 Midterm 2 Part 1 Questions with 100% correct answers | verified | latest update 2024 $7.99   Add to cart

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ISYE 6501 Midterm 2 Part 1 Questions with 100% correct answers | verified | latest update 2024

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ISYE 6501 Midterm 2 Part 1 Questions with 100% correct answers | verified | latest update 2024

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  • June 22, 2024
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ISYE 6501 Midterm 2 Part 1
greedy algorithm - ANS-at each step, the algorithm does the thing that looks best
without taking future options into consideration; more classical

variable selection methods - ANS-stepwise - (forward, backward, combination)
lasso
elastic net

available metrics for variable selection criteria - ANS-p-value
r2
AIC / BIC

lasso - ANS-Giving regression a budget to use on coefficients which it uses on most
important coefficients
Have to scale first

elastic net - ANS-constrain combination of absolute value of coefficients and their
squares
have to scale first
Note: if absolute value is removed, ridge regression (to be covered later)

prediction error - ANS-function of bias and variance

model complexity on x axis
error on y axis
bias squared decreasing, variance increasing, prediction error concave curve with
inflection point where (ish) bias squared = variance

design of experiment - ANS-used as a means to quickly and efficiently get a subset of
data
Ex: polls, which similar products a retailer should display
-keep in mind comparison / control and blocking

blocking factor - ANS-something that could create variance in DOE

A/B Testing - ANS-experiment design to test two alternatives; binomial data used to
answer (with hypothesis test) which is better choice

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