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 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 linear support vector machine?Question 6Answera.A support vector machine that uses a linear kernel functionb.A support vector machine that uses a non-linear kernel functionc.A support vector machine that is sensitive to the presence of outliersd.A support vector machine that is sensitive to the scale of the input variables

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

Which statement about Support Vector Machines is TRUE?1 pointSupport Vector Machine models can be used for regression but not for classification. Support Vector Machine models are non-linear. Support Vector Machine models can be used for classification but not for regression.Support Vector Machine models rarely overfit on training data.

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