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ISYE 6501 Final Exam Prep – ULTIMATE CHEAT SHEET | 300+ Verified Definitions & Concepts | Analytics Modeling (GTx)

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This high-yield document contains over 300 verified definitions, concepts, and formulas, meticulously compiled from the actual ISYE 6501 course content and updated for the testing cycle. It is specifically designed to help you master the most challenging and heavily tested areas of the exam, including classification, clustering, regression, time series, optimization, simulation, and probability. What Makes This Guide Different? Unlike generic study materials, this guide is structured as an A-to-Z cheat sheet of every key term you need to know. It features: Comprehensive Definitions: Every important term from the entire course, organized alphabetically. Verified Answers: Correct definitions provided with clarity and precision. Formula Reference: Includes key mathematical formulas for distance metrics, distributions, and model evaluation. Model Selection Techniques: Covers AIC, BIC, R-squared, adjusted R-squared, and more. Practical Application: Real-world examples for each concept. What's Inside: Distance Metrics: 1-norm (Manhattan), 2-norm (Euclidean), p-norm (Minkowski), Infinity norm. Classification: Accuracy, confusion matrix, sensitivity, specificity, precision, recall, ROC curve, AUC, concordance index, false positive/negative rates, positive/negative predictive values, likelihood ratios.

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ISYE 6501 FINAL EXAM PREP 2026-2027: THE
ULTIMATE CHEAT SHEET WITH VERIFIED QUESTIONS
AND ANSWERS, LATEST UPDATED CONTENT, AND
THE SECRET FORMULA FOR A GUARANTEED A+ PASS
IN ANALYTICS MODELING.


Similar to rectilinear distance; measures the straight-line
length of a vector from the origin. If z=(z1,z2,...,zm) is a
vector in an m-dimensional space, then it's 1-norm is
square root(|𝑧1|+|𝑧2|+⋯+|𝑧𝑚| = |𝑧1|+|𝑧2|+⋯+|𝑧| =
Σm over i=1 |𝑧𝑖| - ANSWER-1-norm


testing two alternatives to see which one performs
better - ANSWER-A/B Testing


Similar to Euclidian distance; measures the straight-line
length of a vector from the origin. If z=(z1,z2,...,zm) is a
vector in an 𝑚-dimensional space, then its 2-norm is the
same as 1-norm but everything is squared= square
root(Σm over i=1 (|𝑧𝑖|)^2) - ANSWER-2-norm

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Fraction of data points correctly classified by a model;
equal to TP+TN / TP+FP+TN+FN - ANSWER-Accuracy


In ARENA, something that is done to an entity. -
ANSWER-Action


Seasonal effect that is added to a baseline value (for
example, "the temperature in June is 10 degrees above
the annual baseline"). - ANSWER-Additive Seasonality


Variant of R2 that encourages simpler models by
penalizing the use of too many variables. - ANSWER-
Adjusted R-squared


Akaike information criterion- Model selection technique
that trades off between model fit and model complexity.
When comparing models, the model with lower AIC is
preferred. Generally penalizes complexity less than BIC. -
ANSWER-AIC

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Step-by-step procedure designed to carry out a task. -
ANSWER-Algorithm


Statistical method for dividing the variation in
observations among different sources. - ANSWER-
Analysis of Variance/ANOVA


Dynamic programming model where the value functions
are approximated. - ANSWER-Approximate dynamic
program


Connection between two nodes/vertices in a network. In
a network model, there is a variable for each arc, equal
to the amount of flow on the arc, and (optionally) a
capacity constraint on the arc's flow. Also called an edge.
- ANSWER-Arc


Area under the ROC curve; an estimate of the
classification model's accuracy. Also called concordance
index. - ANSWER-Area under the curve (AUC)

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Autoregressive integrated moving average. - ANSWER-
ARIMA


Expected number of arrivals of people, things, etc. per
unit time -- for example, the expected number of truck
deliveries per hour to a warehouse. - ANSWER-Arrival
Rate


Network optimization model with two sets of nodes, that
finds the best way to assign each node in one set to each
node in the other set. - ANSWER-Assignment Problem


A characteristic or measurement - for example, a
person's height or the color of a car. Generally
interchangeable with "feature", and often with
"covariate" or "predictor". In the standard tabular
format, a column of data. - ANSWER-Attribute


Regression technique using past values of time series
data as predictors of future values. - ANSWER-
Autoregression

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