12/13/25, 4:47 PM ISYE 6501 - Midterm 1 | Quizlet
Name: Score:
20 Multiple choice questions
Definition 1 of 20
What value do we give for more costly errors
when is knn used?
m_j > 1
when to use svm?
m_j < 0
Definition 2 of 20
What action(s) would be best? (e.g., where to put traffic lights)
What do predictive questions ask?
What do prescriptive questions ask?
What do explanatory questions ask?
What do descriptive questions ask?
https://quizlet.com/test/isye-6501-midterm-1-271026865 1/8
, 12/13/25, 4:47 PM ISYE 6501 - Midterm 1 | Quizlet
Term 3 of 20
To maximize the distance between the two lines what do we need to minimize?
Elbow method: we calculate the total distance of each data point to its
cluster center and plot it in two dimensions. We look for the kik in the graph.
a control chart
1. Introduce randomness via bootstrapping. Branching: randomly choose a
small number of factors, set X. The common number of factors to use is
log(n). Choose the best factor within X to branch on.
Term 4 of 20
What does PCA do?
Removes outliers and ranks coordinates by data frequency
Simplifies data by averaging all variables and ranks coordinates randomly
Enhances correlations within the data and ranks coordinates by variance stability
Removes correlations within the data and ranks coordinates dimension in order of the
amount of variance
https://quizlet.com/test/isye-6501-midterm-1-271026865 2/8
Name: Score:
20 Multiple choice questions
Definition 1 of 20
What value do we give for more costly errors
when is knn used?
m_j > 1
when to use svm?
m_j < 0
Definition 2 of 20
What action(s) would be best? (e.g., where to put traffic lights)
What do predictive questions ask?
What do prescriptive questions ask?
What do explanatory questions ask?
What do descriptive questions ask?
https://quizlet.com/test/isye-6501-midterm-1-271026865 1/8
, 12/13/25, 4:47 PM ISYE 6501 - Midterm 1 | Quizlet
Term 3 of 20
To maximize the distance between the two lines what do we need to minimize?
Elbow method: we calculate the total distance of each data point to its
cluster center and plot it in two dimensions. We look for the kik in the graph.
a control chart
1. Introduce randomness via bootstrapping. Branching: randomly choose a
small number of factors, set X. The common number of factors to use is
log(n). Choose the best factor within X to branch on.
Term 4 of 20
What does PCA do?
Removes outliers and ranks coordinates by data frequency
Simplifies data by averaging all variables and ranks coordinates randomly
Enhances correlations within the data and ranks coordinates by variance stability
Removes correlations within the data and ranks coordinates dimension in order of the
amount of variance
https://quizlet.com/test/isye-6501-midterm-1-271026865 2/8
