ISYE 6501 FINAL EXAM EXPECTED
QUESTIONS WITH VERIFIED ANSWERS
Question 1.
1-norm
ANSWER
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(|1|+|5g2|+5g+|ï| = |5g5Z1|+|5g2|+5g+|ï| = Σm over i=1 |5g|5g5V
Question 2.
A/B Testing
ANSWER
testing two alternatives to see which one performs better
Question 3.
2-norm
ANSWER
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 -dimensional space, then its 2-norm is 5Z the same as 1-
norm but everything is squared= square root(Σm over i=1 (||)^2)5g5V
Question 4.
Accuracy
ANSWER
Fraction of data points correctly classified by a model; equal to TP+TN / TP+FP+TN+FN
Question 5.
Action
ANSWER
In ARENA, something that is done to an entity.
,Question 6.
Additive Seasonality
ANSWER
Seasonal effect that is added to a baseline value (for example, "the temperature in June is 10
degrees above the annual baseline").
Question 7.
Adjusted R-squared
ANSWER
Variant of R2 that encourages simpler models by penalizing the use of too many variables.
Question 8.
AIC
ANSWER
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.
Question 9.
Algorithm
ANSWER
Step-by-step procedure designed to carry out a task.
Question 10.
Analysis of Variance/ANOVA
ANSWER
Statistical method for dividing the variation in observations among different sources.
,Question 11.
Approximate dynamic program
ANSWER
Dynamic programming model where the value functions are approximated.
Question 12.
Arc
ANSWER
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.
Question 13.
Area under the curve (AUC)
ANSWER
Area under the ROC curve; an estimate of the classification model's accuracy. Also called
concordance index.
Question 14.
ARIMA
ANSWER
Autoregressive integrated moving average.
Question 15.
Arrival Rate
ANSWER
Expected number of arrivals of people, things, etc. per unit time -- for example, the expected
number of truck deliveries per hour to a warehouse.
, Question 16.
Assignment Problem
ANSWER
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.
Question 17.
Attribute
ANSWER
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.
Question 18.
Autoregression
ANSWER
Regression technique using past values of time series data as predictors of future values.
Question 19.
Autoregressive integrated moving average (ARIMA)
ANSWER
Time series model that uses differences between observations when data is nonstationary.
Also called Box-Jenkins.
Question 20.
Backward elimination
ANSWER
Variable selection process that starts with all variables and then iteratively removes the least-
immediately-relevant variables from the model.
QUESTIONS WITH VERIFIED ANSWERS
Question 1.
1-norm
ANSWER
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(|1|+|5g2|+5g+|ï| = |5g5Z1|+|5g2|+5g+|ï| = Σm over i=1 |5g|5g5V
Question 2.
A/B Testing
ANSWER
testing two alternatives to see which one performs better
Question 3.
2-norm
ANSWER
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 -dimensional space, then its 2-norm is 5Z the same as 1-
norm but everything is squared= square root(Σm over i=1 (||)^2)5g5V
Question 4.
Accuracy
ANSWER
Fraction of data points correctly classified by a model; equal to TP+TN / TP+FP+TN+FN
Question 5.
Action
ANSWER
In ARENA, something that is done to an entity.
,Question 6.
Additive Seasonality
ANSWER
Seasonal effect that is added to a baseline value (for example, "the temperature in June is 10
degrees above the annual baseline").
Question 7.
Adjusted R-squared
ANSWER
Variant of R2 that encourages simpler models by penalizing the use of too many variables.
Question 8.
AIC
ANSWER
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.
Question 9.
Algorithm
ANSWER
Step-by-step procedure designed to carry out a task.
Question 10.
Analysis of Variance/ANOVA
ANSWER
Statistical method for dividing the variation in observations among different sources.
,Question 11.
Approximate dynamic program
ANSWER
Dynamic programming model where the value functions are approximated.
Question 12.
Arc
ANSWER
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.
Question 13.
Area under the curve (AUC)
ANSWER
Area under the ROC curve; an estimate of the classification model's accuracy. Also called
concordance index.
Question 14.
ARIMA
ANSWER
Autoregressive integrated moving average.
Question 15.
Arrival Rate
ANSWER
Expected number of arrivals of people, things, etc. per unit time -- for example, the expected
number of truck deliveries per hour to a warehouse.
, Question 16.
Assignment Problem
ANSWER
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.
Question 17.
Attribute
ANSWER
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.
Question 18.
Autoregression
ANSWER
Regression technique using past values of time series data as predictors of future values.
Question 19.
Autoregressive integrated moving average (ARIMA)
ANSWER
Time series model that uses differences between observations when data is nonstationary.
Also called Box-Jenkins.
Question 20.
Backward elimination
ANSWER
Variable selection process that starts with all variables and then iteratively removes the least-
immediately-relevant variables from the model.
