ISYE 6501 Midterm Exam Solution Questions And Answers.

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.)