ISYE 6501 Midterm 1 questions and 100% correct solutions

Rows - correct answer Data points are values in data tables Columns - correct answer The 'answer' for each data point (response/outcome) Structured Data - correct answer Quantitative, Categorical, Binary, Unrelated, Time Series Unstructured Data - correct answer Text Support Vector Model - correct answer Supervised machine learning algorithm used for both classification and regression challenges. Mostly used in classification problems by plotting each data item as a point in n-dimensional space (n is the number of features you have) with the value of each feature being the value of a particular coordinate. Then you classify by finding a hyperplane that differentiates the 2 classes very well. Support vectors are simply the coordinates of individual observation -- it best segregates the two classes (hyperplane / line). What do you want to find with a SVM model? - correct answer Find values of a0, a1,...,up to am that classifies the points correctly and has the maximum gap or margin between the parallel lines. What should the sum of the green points in a SVM model be? - correct answer The sum of green points should be greater than or equal to 1 What should the sum of the red points in a SVM model be? - correct answer The sum of red points should be less than or equal to -1 What should the total sum of green and red points be? - correct answer The total sum of all green and red points should be equal to or greater than 1 because yj is 1 for green and -1 for red.