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2025 ISYE 6501 Midterm Exam Practice Guide with 250
Questions and Correct Answers/ ISYE 6501 latest Midterm
Practice Test with Correct Answers
Classification models - ...ANSWER...✓✓ SVM, KNN,
Logistic Regression
Data types - ...ANSWER...✓✓ structured, unstructured,
time-series
Scaling - ...ANSWER...✓✓ Adjusting feature values to
prevent one feature from dominating.
Support Vector Machine (SVM) - ...ANSWER...✓✓
Classification model that finds the optimal decision
boundary.
K-Nearest Neighbors (KNN) - ...ANSWER...✓✓ A model
that classifies based on the majority class of the k-
nearest points.
Training Set - ...ANSWER...✓✓ Data used to build the
model.
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Validation Set - ...ANSWER...✓✓ Data used to tune and
select the best model.
Test Set - ...ANSWER...✓✓ Data used to evaluate final
model performance.
Cross-Validation - ...ANSWER...✓✓ Technique to split
data into multiple training and validation sets.
K-Means Clustering - ...ANSWER...✓✓ A method to
partition data into K clusters.
Elbow Method - ...ANSWER...✓✓ A technique to
determine the optimal number of clusters.
Outliers - ...ANSWER...✓✓ Data points that significantly
differ from the rest.
Imputation - ...ANSWER...✓✓ Filling in missing data
points using statistical methods.
2025 ISYE 6501 Midterm Exam Practice Guide with 250
Questions and Correct Answers/ ISYE 6501 latest Midterm
Practice Test with Correct Answers
Classification models - ...ANSWER...✓✓ SVM, KNN,
Logistic Regression
Data types - ...ANSWER...✓✓ structured, unstructured,
time-series
Scaling - ...ANSWER...✓✓ Adjusting feature values to
prevent one feature from dominating.
Support Vector Machine (SVM) - ...ANSWER...✓✓
Classification model that finds the optimal decision
boundary.
K-Nearest Neighbors (KNN) - ...ANSWER...✓✓ A model
that classifies based on the majority class of the k-
nearest points.
Training Set - ...ANSWER...✓✓ Data used to build the
model.
, 2|Page
Validation Set - ...ANSWER...✓✓ Data used to tune and
select the best model.
Test Set - ...ANSWER...✓✓ Data used to evaluate final
model performance.
Cross-Validation - ...ANSWER...✓✓ Technique to split
data into multiple training and validation sets.
K-Means Clustering - ...ANSWER...✓✓ A method to
partition data into K clusters.
Elbow Method - ...ANSWER...✓✓ A technique to
determine the optimal number of clusters.
Outliers - ...ANSWER...✓✓ Data points that significantly
differ from the rest.
Imputation - ...ANSWER...✓✓ Filling in missing data
points using statistical methods.
