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ISYE6501 Final EXAM QUESTIONS WITH 100% CORRECT ANSWERS (REVISED)

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What is unstructured data? - ANSWER-- Data that is not easily described and stored (e.g., written text) A survey of 25 people recorded each person's family size and type of car. Which of these is a data point? A. The 14th person's family size and car type B. The 14th person's family size C.The car type of each person - ANSWER-- A. A data point is all the information about one observation The farther the wrongly classified point is from the line - ANSWER-- The bigger the mistake we've made The term including the margin gets larger so the importance of a large margin out weights avoiding mistakes and classifying known data samples. - ANSWER-- As lambda gets larger That term also drops towards zero, so the importance of minimizing mistakes and classifying known data points outweighs having a large margin. - ANSWER-- As lambda drops towards zero What can SVMs be used for - ANSWER-- to find a classifier with maximum seperation or margin between the two sets of points? When to use SVM? - ANSWER-- If it's impossible to avoid classification errors, SVM can find a classifier that trades off reducing errors and enlarging the margin. Error for data point j - ANSWER-- What does this formula describe? Why is it important to scale our data when using SVM? - ANSWER-- We're looking to minimize the sum of the squares of the coefficients, but if our data has very different scales a small change in one could swamp a huge change in the other. what does it signify when a coefficient for a classifier is close to zero - ANSWER-- it means the corresponding attribute is probably not relevant What do kernel methods allow for in SVMs - ANSWER-- nonlinear classifiers What is the common range for scaled data? - ANSWER-- between 0 and 1 What is the formula for min-max scaling? - ANSWER-- find min and max for a factor what is common standardization and its formula? - ANSWER-- scaling to a normal distribution with a mean of 0 and standard deviation of 1. what is the formula for general scaling between

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