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ISYE 6501 MIDTERM EXAM 2024/2025 $16.49   Add to cart

Exam (elaborations)

ISYE 6501 MIDTERM EXAM 2024/2025

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  • ISYE 6501

ISYE 6501 MIDTERM EXAM 2024/2025

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  • October 14, 2024
  • 42
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • ISYE 6501
  • ISYE 6501
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ISYE 6501 MIDTERM EXAM 2024/2025



What is the 2-norm?- ANSWER ✔✔Euclidean distance


What is the 1-norm?- ANSWER ✔✔The rectilinear (Manhattan)
distance


What is the infinity norm?- ANSWER ✔✔The value of the largest
dimension


When something is missing in a range of points- ANSWER ✔✔it is
called a..., collective outlier.


The whiskers on a box plot extend to...- ANSWER ✔✔the 10th and
90th percentiles (or 5th and 95th)


Why are hypothesis tests generally not sufficient for change detection?-
ANSWER ✔✔They are slow to detect changes.


In CUSUM, T is _____ and C is _____.,- ANSWER ✔✔Threshold and
a "bring down factor"


In exponential smoothing, if the data is less random, then you want to
pick an alpha that is...,- ANSWER ✔✔Close to 1.

,What is the initial condition for T in exponential smoothing with
trending?- ANSWER ✔✔T_i=0


In cyclic exponential smoothing, L represents...,- ANSWER ✔✔The
length of the cycle or season


In cyclic exponential smoothing, C_1 ... C_L = ___?,- ANSWER ✔✔1.
In other words, initialize it to no initial cycle.


Exponential, trending and cyclic smoothing are also referred to as-
ANSWER ✔✔single double and triple.


Triple smoothing is also known as?- ANSWER ✔✔Winter's or Holt-
Winter's


What is the optimization formula for Exponential Smoothing?-
ANSWER ✔✔min(F_t-Xt)^2 where alpha and beta are between 0 and 1.


Exponential smoothing is an order ___ autoregressive model.-
ANSWER ✔✔Infinity. It uses data going all the way back.


For ARIMA, the D parameter is used to specify ___.- ANSWER ✔✔,
The order, or the differences of the differences of the differences (d-
times.)

,If lambda gets small what gets emphasized, large margin or minimizing
training error?,- ANSWER ✔✔Minimizing errors.


What is a support vector?- ANSWER ✔✔A point that holds up a shape.


Does ...[⅔(a-1)+1/3(a+1)] move an SVM classifier up or down?-
ANSWER ✔✔Up


How do you make errors more costly in a soft SVM classifier?-
ANSWER ✔✔include a multiplier for the point-error term.


If an SVM coefficient is very close to zero...- ANSWER ✔✔that term is
not very important to the classification.


Measuring the quality of a model is called?- ANSWER ✔✔Validation


What does a confusion matrix show?- ANSWER ✔✔The performance
of a classification model.


A time series outlier that seems "off the curve" is called a...- ANSWER
✔✔contextual outlier.


A data element that is different from all other data in a set is called a...-
ANSWER ✔✔point outlier.

, In a CUSUM model, you adjust T and C to manage the tradeoff
between...,- ANSWER ✔✔early detection and false-alarms


ARIMA stands for?- ANSWER ✔✔Autoregressive Integrated Moving
Average


What does SVM stand for?- ANSWER ✔✔Support Vector Machine


Is written text structured or unstructured?- ANSWER ✔✔Unstructured


When we increase the sum of the square of the coefficients we...-
ANSWER ✔✔Decrease the distance between the lines


In SVM soft classifier we tradeoff between maximizing ___ and
minimizing ___- ANSWER ✔✔margin and errors


What is the difference between standardization and scaling?- ANSWER
✔✔Scaling is bounded in range. Standardization is scaling to a normal
distribution. Standardization is the (value - factor mean) / (factor
standard deviation)


For ARIMA, the P parameters is used to specify ____.,- ANSWER
✔✔The order of periods (autoregression).


For ARIMA, the Q parameter is used to specify ______.,- ANSWER
✔✔The order of the moving average.

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