ISYE 6501 Final Exam | Georgia Tech | 2025/2026
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Terms in this set (323)
Similar to rectilinear distance; measures the straight-
line length of a vector from the origin. If z=(z1,z2,...,zm)
1-norm 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|
testing two alternatives to see which one performs
A/B Testing
better
Similar to Euclidian distance; measures the straight-
line length of a vector from the origin. If z=(z1,z2,...,zm)
2-norm 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)
Fraction of data points correctly classified by a
Accuracy
model; equal to TP+TN / TP+FP+TN+FN
Action In ARENA, something that is done to an entity.
Seasonal effect that is added to a baseline value (for
Additive Seasonality example, "the temperature in June is 10 degrees above
the annual baseline").
Variant of R2 that encourages simpler models by
Adjusted R-squared
penalizing the use of too many variables.
, Akaike information criterion- Model selection
technique that trades off between model fit and
AIC model complexity. When comparing models, the
model with lower AIC is preferred. Generally
penalizes complexity less than BIC.
Algorithm Step-by-step procedure designed to carry out a task.
Analysis of Statistical method for dividing the variation in
Variance/ANOVA observations among different sources.
Approximate dynamic Dynamic programming model where the value
program functions are approximated.
Connection between two nodes/vertices in a
network. In a network model, there is a variable for
Arc 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.
Area under the ROC curve; an estimate of the
Area under the curve
classification model's accuracy. Also called
(AUC)
concordance index.
ARIMA Autoregressive integrated moving average.
Expected number of arrivals of people, things, etc.
Arrival Rate per unit time -- for example, the expected number of
truck deliveries per hour to a warehouse.
Network optimization model with two sets of nodes,
Assignment Problem that finds the best way to assign each node in one set
to each node in the other set.
A characteristic or measurement - for example, a
person's height or the color of a car. Generally
Attribute interchangeable with "feature", and often with
"covariate" or "predictor". In the standard tabular
format, a column of data.
Regression technique using past values of time series
Autoregression
data as predictors of future values.
Edition | Verified Exam Questions with Answers
Save
Terms in this set (323)
Similar to rectilinear distance; measures the straight-
line length of a vector from the origin. If z=(z1,z2,...,zm)
1-norm 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|
testing two alternatives to see which one performs
A/B Testing
better
Similar to Euclidian distance; measures the straight-
line length of a vector from the origin. If z=(z1,z2,...,zm)
2-norm 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)
Fraction of data points correctly classified by a
Accuracy
model; equal to TP+TN / TP+FP+TN+FN
Action In ARENA, something that is done to an entity.
Seasonal effect that is added to a baseline value (for
Additive Seasonality example, "the temperature in June is 10 degrees above
the annual baseline").
Variant of R2 that encourages simpler models by
Adjusted R-squared
penalizing the use of too many variables.
, Akaike information criterion- Model selection
technique that trades off between model fit and
AIC model complexity. When comparing models, the
model with lower AIC is preferred. Generally
penalizes complexity less than BIC.
Algorithm Step-by-step procedure designed to carry out a task.
Analysis of Statistical method for dividing the variation in
Variance/ANOVA observations among different sources.
Approximate dynamic Dynamic programming model where the value
program functions are approximated.
Connection between two nodes/vertices in a
network. In a network model, there is a variable for
Arc 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.
Area under the ROC curve; an estimate of the
Area under the curve
classification model's accuracy. Also called
(AUC)
concordance index.
ARIMA Autoregressive integrated moving average.
Expected number of arrivals of people, things, etc.
Arrival Rate per unit time -- for example, the expected number of
truck deliveries per hour to a warehouse.
Network optimization model with two sets of nodes,
Assignment Problem that finds the best way to assign each node in one set
to each node in the other set.
A characteristic or measurement - for example, a
person's height or the color of a car. Generally
Attribute interchangeable with "feature", and often with
"covariate" or "predictor". In the standard tabular
format, a column of data.
Regression technique using past values of time series
Autoregression
data as predictors of future values.
