ISYE 6501 Midterm 1
Questions and Answers
Denning [Date] [Course title]
, Rows - Correct Answers:s :Data points are values in data tables
Columns - Correct Answers:s :The 'answer' for each data point (response/outcome)
Structured Data - Correct Answers:s :Quantitative, Categorical, Binary, Unrelated, Time Series
Unstructured Data - Correct Answers:s :Text
Support Vector Model - Correct Answers:s :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 Answers:s :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 Answers:s :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 Answers:s :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 Answers:s :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.
First principal component - Correct Answers:s :PCA -- a linear combination of original predictor variables
which captures the maximum variance in the data set. It determines the direction of highest variability
in the data. Larger the variability captured in first component, larger the information captured by
component. No other component can have variability higher than first principal component.
it minimizes the sum of squared distance between a data point and the line.
Questions and Answers
Denning [Date] [Course title]
, Rows - Correct Answers:s :Data points are values in data tables
Columns - Correct Answers:s :The 'answer' for each data point (response/outcome)
Structured Data - Correct Answers:s :Quantitative, Categorical, Binary, Unrelated, Time Series
Unstructured Data - Correct Answers:s :Text
Support Vector Model - Correct Answers:s :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 Answers:s :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 Answers:s :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 Answers:s :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 Answers:s :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.
First principal component - Correct Answers:s :PCA -- a linear combination of original predictor variables
which captures the maximum variance in the data set. It determines the direction of highest variability
in the data. Larger the variability captured in first component, larger the information captured by
component. No other component can have variability higher than first principal component.
it minimizes the sum of squared distance between a data point and the line.
