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ISyE 6501 Midterm Prep With Complete Solutions 2023/2024
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ISyE 6501 Midterm Prep With Complete Solutions 2023/2024
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BraincraftsISyE 6501 Midterm Prep With Complete Solutions
2023/2024
What does SVM stand for? - (answers)Support Vector Machine
Is written text structured or unstructured? - (answers)Unstructured
When we increase the sum of the square of the coefficients we... - (answers)Decrease the
distance between the lines
In SVM soft classifier we tradeoff between maximizing ___ and minimizing ___ -
(answers)margin and errors
If lambda gets small what gets emphasized, large margin or minimizing training error?, -
(answers)Minimizing errors.
What is a support vector? - (answers)A point that holds up a shape.
Does ...[⅔(a-1)+1/3(a+1)] move an SVM classifier up or down? - (answers)Up
How do you make errors more costly in a soft SVM classifier? - (answers)include a multiplier
for the point-error term.
If an SVM coefficient is very close to zero... - (answers)that term is not very important to the
classification.
What is the difference between standardization and scaling? - (answers)Scaling is bounded in
range. Standardization is scaling to a normal distribution. Standardization is the (value - factor
mean) / (factor standard deviation)
,Braincrafts
What is the 2-norm? - (answers)Euclidean distance
What is the 1-norm? - (answers)The rectilinear (Manhattan) distance
What is the infinity norm? - (answers)The value of the largest dimension
Measuring the quality of a model is called? - (answers)Validation
What does a confusion matrix show? - (answers)The performance of a classification model.
A time series outlier that seems "off the curve" is called a... - (answers)contextual outlier.
A data element that is different from all other data in a set is called a... - (answers)point outlier.
When something is missing in a range of points - (answers)it is called a..., collective outlier.
The whiskers on a box plot extend to... - (answers)the 10th and 90th percentiles (or 5th and
95th)
Why are hypothesis tests generally not sufficient for change detection? - (answers)They are slow
to detect changes.
In CUSUM, T is _____ and C is _____., - (answers)Threshold and a "bring down factor"
,Braincrafts
In a CUSUM model, you adjust T and C to manage the tradeoff between..., - (answers)early
detection and false-alarms
In exponential smoothing, if the data is less random, then you want to pick an alpha that is..., -
(answers)Close to 1.
What is the initial condition for T in exponential smoothing with trending? - (answers)T_i=0
In cyclic exponential smoothing, L represents..., - (answers)The length of the cycle or season
In cyclic exponential smoothing, C_1 ... C_L = ___?, - (answers)1. In other words, initialize it to
no initial cycle.
Exponential, trending and cyclic smoothing are also referred to as - (answers)single double and
triple.
Triple smoothing is also known as? - (answers)Winter's or Holt-Winter's
What is the optimization formula for Exponential Smoothing? - (answers)min(F_t-Xt)^2 where
alpha and beta are between 0 and 1.
ARIMA stands for? - (answers)Autoregressive Integrated Moving Average
Exponential smoothing is an order ___ autoregressive model. - (answers)Infinity. It uses data
going all the way back.
For ARIMA, the D parameter is used to specify ___. - (answers), The order, or the differences
of the differences of the differences (d-times.)
, Braincrafts
For ARIMA, the P parameters is used to specify ____., - (answers)The order of periods
(autoregression).
For ARIMA, the Q parameter is used to specify ______., - (answers)The order of the moving
average.
ARIMA(0,1,1) is ?, - (answers)Exponential smoothing.
What is the order of the ARIMA parameters? - (answers)p d q
GARCH estimates what? - (answers)Variance.
Variance can be a proxy for ___ or ___. - (answers)volatility or Risk
What parameter does GARCH not have the ARIMA has? - (answers)d because GARCH doesn't
deal with differences.
What is a simple linear regression? - (answers)Linear regression with one predictor.
A linear regression defines a relationship between what and what? - (answers)Predictor(S) and
Response
What is the formula for a linear regression with M predictors? - (answers)Y=a0+sum(j=1..m,
a(j)*(x(j))
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