Isye 6501 Final exam Questions and answers |
Updated 2024/25
1-norm iiii iiiiSimilar iitoiirectilinear iidistance; iimeasures iithe iistraight-line iilength iiof iia iivector iifrom iithe iiorigin. iiIf iiz=(z1,z2,...,zm) iiis iia iivector iiin iian iim-dimensional iispace, iithen iiit's ii1-norm iiis iisquare iiroot(|��1|+|��2|+⋯+|
iiover iii=1ii|����| iiA/B iiTesting iiiiii iitesting iitwoiialternatives iitoiisee iiwhich iione iiperforms iibetter
ii2-norm iiiiii iiSimilar iitoiiEuclidian iidistance; iimeasures iithe iistraight-line iilength iiof iia iivector iifrom iithe iiorigin. iiIf iiz=(z1,z2,...,zm) iiis iia iivector iiin iian ii��-dimensional iispace, iithen iiits ii2-norm iiis iithe iisame iias ii1-norm iibut iieverything iiis iisquared= iisquare iiroot(Σmiiover iii=1 ii(|����|)^2)
iiAccuracy iiii ii iiFraction iiof iidataiipoints iicorrectly iiclassified iiby iia iimodel; iiequal iitoiiTP+TN ii/ iiTP+FP+TN+FN
iiAction iiiiii iiIniiARENA, iisomething iithat iiis iidone iito iianiientity.
iiAdditive iiSeasonality iiii ii iiSeasonal iieffect iithat iiis iiadded iito iiaiibaseline iivalue ii(for iiexample, ii"the iitemperature iiin iiJune iiis ii10iidegrees iiabove iithe iiannual iibaseline").
iiAdjusted iiR-squared iiii iiiiVariant iiof iiR2 iithat iiencourages iisimpler iimodels iiby iipenalizing iithe use iiof iitoo iimany iivariables.
iiAIC iiiiii iiAkaike iiinformation iicriterion- iiModel iiselection iitechnique iithat iitrades iioff iibetween iimodel iifit iiand iimodel iicomplexity. iiWhen iicomparing iimodels, iithe iimodel iiwithiilower iiAIC iiis iipreferred. iiGenerally iipenalizes iicomplexity iiless iithan iiBIC.
iiAlgorithm iiiiii iiStep-by-stepiiprocedure iidesigned iito iicarry iiout iia iitask.
iiAnalysis iiof iiVariance/ANOVA iiii iiiiStatistical iimethod iifor iidividing iithe iivariation iiin iiobservations iiamong iidifferent iisources.
iiApproximate iidynamic iiprogram iiiiii iiDynamic iiprogramming iimodel iiwhere iithe iivalue iifunctions iiare iiapproximated.
iiArc iiii iiiiConnection iibetween iitwoiinodes/vertices iiin iia iinetwork. iiIniia iinetwork iimodel, iithere iiis iia iivariable iifor iieach iiarc, iiequal iitoiithe iiamount iiof iiflow iion iithe iiarc, iiand ii(optionally) iia iicapacity iiconstraint iion iithe iiarc's iiflow. iiAlso iicalled iian iiedge.
iiArea iiunder iithe iicurve ii(AUC) iiii iiiiArea iiunder iithe iiROC iicurve; iianiiestimate iiof iithe iiclassification iimodel's iiaccuracy. iiAlso iicalled iiconcordance iiindex.
iiARIMA iiiiii iiAutoregressive iiintegrated iimoving iiaverage.