ISYE 6501 Final Quiz 2026/2027 | 150
Questions & Correct CORRECT ANSWERs |
Already Graded A+ 100% Verified
What does SVM stand for? - CORRECT ANSWERSupport Vector Machine
Is written text structured or unstructured? - CORRECT ANSWERUnstructured
When we increase the sum of the square of the coefficients we... - CORRECT ANSWERDecrease the
distance between the lines
In SVM soft classifier we tradeoff between maximizing ___ and minimizing ___ - CORRECT
ANSWERmargin and errors
If lambda gets small what gets emphasized, large margin or minimizing training error?, - CORRECT
ANSWERMinimizing errors.
What is a support vector? - CORRECT ANSWERA point that holds up a shape.
Does ...[⅔(a-1)+1/3(a+1)] move an SVM classifier up or down? - CORRECT ANSWERUp
How do you make errors more costly in a soft SVM classifier? - CORRECT ANSWERinclude a multiplier for
the point-error term.
If an SVM coefficient is very close to zero... - CORRECT ANSWERthat term is not very important to the
classification.
,What is the difference between standardization and scaling? - CORRECT ANSWERScaling 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 ANSWEREuclidean distance
What is the 1-norm? - CORRECT ANSWERThe rectilinear (Manhattan) distance
What is the infinity norm? - CORRECT ANSWERThe value of the largest dimension
Measuring the quality of a model is called? - CORRECT ANSWERValidation
What does a confusion matrix show? - CORRECT ANSWERThe performance of a classification model.
A time series outlier that seems "off the curve" is called a... - CORRECT ANSWERcontextual outlier.
A data element that is different from all other data in a set is called a... - CORRECT ANSWERpoint outlier.
When something is missing in a range of points - CORRECT ANSWERit is called a..., collective outlier.
The whiskers on a box plot extend to... - CORRECT ANSWERthe 10th and 90th percentiles (or 5th and
95th)
Why are hypothesis tests generally not sufficient for change detection? - CORRECT ANSWERThey are
slow to detect changes.
In CUSUM, T is _____ and C is _____., - CORRECT ANSWERThreshold and a "bring down factor"
In a CUSUM model, you adjust T and C to manage the tradeoff between..., - CORRECT ANSWERearly
detection and false-alarms
, In exponential smoothing, if the data is less random, then you want to pick an alpha that is..., - CORRECT
ANSWERClose to 1.
What is the initial condition for T in exponential smoothing with trending? - CORRECT ANSWERT_i=0
In cyclic exponential smoothing, L represents..., - CORRECT ANSWERThe length of the cycle or season
In cyclic exponential smoothing, C_1 ... C_L = ___?, - CORRECT ANSWER1. In other words, initialize it to
no initial cycle.
Exponential, trending and cyclic smoothing are also referred to as - CORRECT ANSWERsingle double and
triple.
Triple smoothing is also known as? - CORRECT ANSWERWinter's or Holt-Winter's
What is the optimization formula for Exponential Smoothing? - CORRECT ANSWERmin(F_t-Xt)^2 where
alpha and beta are between 0 and 1.
ARIMA stands for? - CORRECT ANSWERAutoregressive Integrated Moving Average
Exponential smoothing is an order ___ autoregressive model. - CORRECT ANSWERInfinity. 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 ANSWERThe order of periods
(autoregression).
For ARIMA, the Q parameter is used to specify ______., - CORRECT ANSWERThe order of the moving
average.
Questions & Correct CORRECT ANSWERs |
Already Graded A+ 100% Verified
What does SVM stand for? - CORRECT ANSWERSupport Vector Machine
Is written text structured or unstructured? - CORRECT ANSWERUnstructured
When we increase the sum of the square of the coefficients we... - CORRECT ANSWERDecrease the
distance between the lines
In SVM soft classifier we tradeoff between maximizing ___ and minimizing ___ - CORRECT
ANSWERmargin and errors
If lambda gets small what gets emphasized, large margin or minimizing training error?, - CORRECT
ANSWERMinimizing errors.
What is a support vector? - CORRECT ANSWERA point that holds up a shape.
Does ...[⅔(a-1)+1/3(a+1)] move an SVM classifier up or down? - CORRECT ANSWERUp
How do you make errors more costly in a soft SVM classifier? - CORRECT ANSWERinclude a multiplier for
the point-error term.
If an SVM coefficient is very close to zero... - CORRECT ANSWERthat term is not very important to the
classification.
,What is the difference between standardization and scaling? - CORRECT ANSWERScaling 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 ANSWEREuclidean distance
What is the 1-norm? - CORRECT ANSWERThe rectilinear (Manhattan) distance
What is the infinity norm? - CORRECT ANSWERThe value of the largest dimension
Measuring the quality of a model is called? - CORRECT ANSWERValidation
What does a confusion matrix show? - CORRECT ANSWERThe performance of a classification model.
A time series outlier that seems "off the curve" is called a... - CORRECT ANSWERcontextual outlier.
A data element that is different from all other data in a set is called a... - CORRECT ANSWERpoint outlier.
When something is missing in a range of points - CORRECT ANSWERit is called a..., collective outlier.
The whiskers on a box plot extend to... - CORRECT ANSWERthe 10th and 90th percentiles (or 5th and
95th)
Why are hypothesis tests generally not sufficient for change detection? - CORRECT ANSWERThey are
slow to detect changes.
In CUSUM, T is _____ and C is _____., - CORRECT ANSWERThreshold and a "bring down factor"
In a CUSUM model, you adjust T and C to manage the tradeoff between..., - CORRECT ANSWERearly
detection and false-alarms
, In exponential smoothing, if the data is less random, then you want to pick an alpha that is..., - CORRECT
ANSWERClose to 1.
What is the initial condition for T in exponential smoothing with trending? - CORRECT ANSWERT_i=0
In cyclic exponential smoothing, L represents..., - CORRECT ANSWERThe length of the cycle or season
In cyclic exponential smoothing, C_1 ... C_L = ___?, - CORRECT ANSWER1. In other words, initialize it to
no initial cycle.
Exponential, trending and cyclic smoothing are also referred to as - CORRECT ANSWERsingle double and
triple.
Triple smoothing is also known as? - CORRECT ANSWERWinter's or Holt-Winter's
What is the optimization formula for Exponential Smoothing? - CORRECT ANSWERmin(F_t-Xt)^2 where
alpha and beta are between 0 and 1.
ARIMA stands for? - CORRECT ANSWERAutoregressive Integrated Moving Average
Exponential smoothing is an order ___ autoregressive model. - CORRECT ANSWERInfinity. 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 ANSWERThe order of periods
(autoregression).
For ARIMA, the Q parameter is used to specify ______., - CORRECT ANSWERThe order of the moving
average.
