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
Question
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
Solution
The correct answer is a. A linear support vector machine is a support vector machine that uses a linear kernel function.
Here's a step-by-step explanation:
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A Support Vector Machine (SVM) is a supervised machine learning algorithm that can be used for both classification and regression tasks. However, it is mostly used in classification problems.
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In the SVM algorithm, we plot each data item in the dataset in an n-dimensional space (where n is the number of features you have) with the value of each feature being the value of a particular coordinate.
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The SVM then finds the hyper-plane that differentiates the two classes very well.
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The vectors (or the data points) that the algorithm uses to find the hyper-plane are known as support vectors.
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SVMs can use different types of kernel functions to transform the input data. These functions can be linear or non-linear.
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A linear support vector machine specifically uses a linear kernel function. This means that the decision boundary (the hyper-plane) that the algorithm finds
Similar Questions
What is a support vector regression machine? Question 14Answer a. A support vector machine that is used for classification b. A support vector machine that is sensitive to the presence of outliers c. A support vector machine that is sensitive to the scale of the input variables d. A support vector machine that is used for regression
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
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
Which kernel function is commonly used in a Support Vector Machine Classifier when dealing with non-linearly separable data?Review LaterLinear KernelPolynomial KernelRadial Basis Function (RBF) KernelSigmoid Kernel
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
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