ISYE 6501 Midterm 2 Part 1 Exam 2026
Questions and Answers 100% Pass
Guaranteed
greedy algorithm - Correct answer-at each step, the algorithm does the thing that
looks best without taking future options into consideration; more classical
variable selection methods - Correct answer-stepwise - (forward, backward,
combination)
lasso
elastic net
available metrics for variable selection criteria - Correct answer-p-value
r2
AIC / BIC
lasso - Correct answer-Giving regression a budget to use on coefficients which it
uses on most important coefficients
Have to scale first
©COPYRIGHT 2025, ALL RIGHTS RESERVE 1
, elastic net - Correct answer-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 - Correct answer-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 - Correct answer-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 - Correct answer-something that could create variance in DOE
A/B Testing - Correct answer-experiment design to test two alternatives; binomial
data used to answer (with hypothesis test) which is better choice
©COPYRIGHT 2025, ALL RIGHTS RESERVE 2
Questions and Answers 100% Pass
Guaranteed
greedy algorithm - Correct answer-at each step, the algorithm does the thing that
looks best without taking future options into consideration; more classical
variable selection methods - Correct answer-stepwise - (forward, backward,
combination)
lasso
elastic net
available metrics for variable selection criteria - Correct answer-p-value
r2
AIC / BIC
lasso - Correct answer-Giving regression a budget to use on coefficients which it
uses on most important coefficients
Have to scale first
©COPYRIGHT 2025, ALL RIGHTS RESERVE 1
, elastic net - Correct answer-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 - Correct answer-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 - Correct answer-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 - Correct answer-something that could create variance in DOE
A/B Testing - Correct answer-experiment design to test two alternatives; binomial
data used to answer (with hypothesis test) which is better choice
©COPYRIGHT 2025, ALL RIGHTS RESERVE 2
