What is a support vector in the context of support vector machines?Question 7Answera.A data point that is used to define the decision boundaryb.A data point that lies on the margin boundaryc.A data point that maximizes the margind.A data point that is classified correctly
Question
What is a support vector in the context of support vector machines?Question 7Answera.A data point that is used to define the decision boundaryb.A data point that lies on the margin boundaryc.A data point that maximizes the margind.A data point that is classified correctly
Solution
In the context of Support Vector Machines (SVM), a support vector is:
b. A data point that lies on the margin boundary
SVMs are a type of machine learning model used for classification and regression analysis. They work by mapping input data points into a high-dimensional space and then finding the hyperplane (a subspace of one dimension less than the ambient space) that maximally separates different classes of points.
The support vectors are the data points that lie on the margin boundary. These points are the most difficult to classify and provide the most information when determining the decision boundary. They are called support vectors because they "support" the margin and help define the decision boundary. If these points were moved, the position of the decision boundary would change.
Similar Questions
What is a support vector?(1 Point)The distance between any two data pointsThe average distance between all the data pointsThe distance between two boundary data pointsThe minimum distance between any two data points
What is the objective of a Support Vector Machine (SVM)?Answer areaTo maximize the distance between the decision boundary and the nearest data points of any classTo minimize the number of misclassified pointsTo maximize the number of support vectorsTo minimize the computational complexity
What is a support vector machine?Question 2Answera.A linear model used to make predictions in supervised learningb.A neural network used in deep learningc.A tree-like model used to make predictions in supervised learningd.A clustering algorithm used in unsupervised learning
What is a support vector regression machine?Question 1Answera.A support vector machine that is sensitive to the presence of outliersb.A support vector machine that is sensitive to the scale of the input variablesc.A support vector machine that is used for regressiond.A support vector machine that is used for classification
What are support vectors?
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