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 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

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 the main objective of support vector machines (SVM)?Review LaterTo model complex decision boundaries in high-dimensional data.To handle nonlinear relationships between variables.To maximize the margin between data points of different classes.To introduce nonlinearity to neural networks.

What is a multi-class support vector machine?Question 11Answera.A support vector machine that can handle multiple classes of datab.A support vector machine that can handle data with a high number of dimensionsc.A support vector machine that uses a non-linear kernel functiond.A support vector machine that uses a linear kernel function