ISYE 6501 MIDTERM QUESTIONS WITH
ANSWERS VERIFIED BY EXPERTS 2024
NEW
What does SVM stand for? - CORRECT ANSWER>>>>Support Vector Machine
Is written text structured or unstructured? - CORRECT ANSWER>>>>Unstructured
When we increase the sum of the square of the coefficients we... - CORRECT
ANSWER>>>>Decrease the distance between the lines
In SVM soft classifier we tradeoff between maximizing ___ and minimizing ___ -
CORRECT ANSWER>>>>margin and errors
If lambda gets small what gets emphasized, large margin or minimizing training error?, -
CORRECT ANSWER>>>>Minimizing errors.
What is a support vector? - CORRECT ANSWER>>>>A point that holds up a shape.
Does ...[⅔(a-1)+1/3(a+1)] move an SVM classifier up or down? - CORRECT
ANSWER>>>>Up
How do you make errors more costly in a soft SVM classifier? - CORRECT
ANSWER>>>>include a multiplier for the point-error term.
If an SVM coefficient is very close to zero... - CORRECT ANSWER>>>>that term is not
very important to the classification.
What is the difference between standardization and scaling? - CORRECT
ANSWER>>>>Scaling is bounded in range. Standardization is scaling to a normal
distribution. Standardization is the (value - factor mean) / (factor standard deviation)
What is the 2-norm? - CORRECT ANSWER>>>>Euclidean distance
What is the 1-norm? - CORRECT ANSWER>>>>The rectilinear (Manhattan) distance
What is the infinity norm? - CORRECT ANSWER>>>>The value of the largest
dimension
Measuring the quality of a model is called? - CORRECT ANSWER>>>>Validation
What does a confusion matrix show? - CORRECT ANSWER>>>>The performance of a
classification model.
,A time series outlier that seems "off the curve" is called a... - CORRECT
ANSWER>>>>contextual outlier.
A data element that is different from all other data in a set is called a... - CORRECT
ANSWER>>>>point outlier.
When something is missing in a range of points - CORRECT ANSWER>>>>it is called
a..., collective outlier.
The whiskers on a box plot extend to... - CORRECT ANSWER>>>>the 10th and 90th
percentiles (or 5th and 95th)
Why are hypothesis tests generally not sufficient for change detection? - CORRECT
ANSWER>>>>They are slow to detect changes.
In CUSUM, T is _____ and C is _____., - CORRECT ANSWER>>>>Threshold and a
"bring down factor"
In a CUSUM model, you adjust T and C to manage the tradeoff between..., - CORRECT
ANSWER>>>>early detection and false-alarms
In exponential smoothing, if the data is less random, then you want to pick an alpha that
is..., - CORRECT ANSWER>>>>Close to 1.
What is the initial condition for T in exponential smoothing with trending? - CORRECT
ANSWER>>>>T_i=0
In cyclic exponential smoothing, L represents..., - CORRECT ANSWER>>>>The length
of the cycle or season
In cyclic exponential smoothing, C_1 ... C_L = ___?, - CORRECT ANSWER>>>>1. In
other words, initialize it to no initial cycle.
Exponential, trending and cyclic smoothing are also referred to as - CORRECT
ANSWER>>>>single double and triple.
Triple smoothing is also known as? - CORRECT ANSWER>>>>Winter's or Holt-
Winter's
What is the optimization formula for Exponential Smoothing? - CORRECT
ANSWER>>>>min(F_t-Xt)^2 where alpha and beta are between 0 and 1.
ARIMA stands for? - CORRECT ANSWER>>>>Autoregressive Integrated Moving
Average
, Exponential smoothing is an order ___ autoregressive model. - CORRECT
ANSWER>>>>Infinity. It uses data going all the way back.
For ARIMA, the D parameter is used to specify ___. - CORRECT ANSWER>>>>, The
order, or the differences of the differences of the differences (d-times.)
For ARIMA, the P parameters is used to specify ____., - CORRECT ANSWER>>>>The
order of periods (autoregression).
For ARIMA, the Q parameter is used to specify ______., - CORRECT
ANSWER>>>>The order of the moving average.
ARIMA(0,1,1) is ?, - CORRECT ANSWER>>>>Exponential smoothing.
What is the order of the ARIMA parameters? - CORRECT ANSWER>>>>p d q
Variance can be a proxy for ___ or ___. - CORRECT ANSWER>>>>volatility or Risk
What parameter does GARCH not have the ARIMA has? - CORRECT ANSWER>>>>d
because GARCH doesn't deal with differences.
What is a simple linear regression? - CORRECT ANSWER>>>>Linear regression with
one predictor.
A linear regression defines a relationship between what and what? - CORRECT
ANSWER>>>>Predictor(S) and Response
What is the formula for a linear regression with M predictors? - CORRECT
ANSWER>>>>Y=a0+sum(j=1..m, a(j)*(x(j))
What measure is used to determine the quality of a linear regression line to data? -
CORRECT ANSWER>>>>Square of the difference between the line and the data
points. (Sum squared error.)
What is the formula for point error in linear regression? - CORRECT ANSWER>>>>y(i)-
Yhat(i)=y(i)-(a(0) + a(i)*x(i)
Taking partial derivates and setting them equal to zero and then solving that system
equation helps us do what? - CORRECT ANSWER>>>>Minimize the error and optimize
the coefficients for linear regression.
What does AIC stand for? - CORRECT ANSWER>>>>Akaike Information Criterion
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