ISYE 6501 Midterm|2023 LATEST UPDATE|100% COMPLETE SOLUTIONS|100% PASS

What does SVM stand for? Support Vector Machine Is written text structured or unstructured? Unstructured When we increase the sum of the square of the coefficients we... Decrease the distance between the lines In SVM soft classifier we tradeoff between maximizing ___ and minimizing ___ margin and errors If lambda gets small what gets emphasized, large margin or minimizing training error?, Minimizing errors. What is a support vector? A point that holds up a shape. Does ...[⅔(a-1)+1/3(a+1)] move an SVM classifier up or down? Up How do you make errors more costly in a soft SVM classifier? include a multiplier for the point-error term. If an SVM coefficient is very close to zero... that term is not very important to the classification. What is the difference between standardization and scaling? 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? Euclidean distance What is the 1-norm? The rectilinear (Manhattan) distance What is the infinity norm? The value of the largest dimension Measuring the quality of a model is called? Validation What does a confusion matrix show? The performance of a classification model. A time series outlier that seems "off the curve" is called a... contextual outlier. A data element that is different from all other data in a set is called a... point outlier. When something is missing in a range of points it is called a..., collective outlier. The whiskers on a box plot extend to... the 10th and 90th percentiles (or 5th and 95th) Why are hypothesis tests generally not sufficient for change detection? They are slow to detect changes. In CUSUM, T is _____ and C is _____., Threshold and a "bring down factor"