What is the role of the hyperparameter 'C' in Support Vector Machines?

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Question: What is the role of the hyperparameter \'C\' in Support Vector Machines?

Options:

Correct Answer: It controls the complexity of the model

Solution:

\'C\' is a regularization parameter that controls the trade-off between maximizing the margin and minimizing the classification error.

What is the role of the hyperparameter 'C' in Support Vector Machines?

What is the role of the hyperparameter 'C' in Support Vector Machines?

Step 1: Understand that Support Vector Machines (SVM) are used for classification tasks.
Step 2: Know that SVM tries to find a line (or hyperplane) that separates different classes in the data.
Step 3: Realize that 'C' is a hyperparameter that helps control how strict the SVM is about classifying the data correctly.
Step 4: If 'C' is a large number, the SVM will focus more on correctly classifying all training points, even if it means a smaller margin.
Step 5: If 'C' is a small number, the SVM will allow some misclassifications to create a larger margin between the classes.
Step 6: Therefore, 'C' balances the trade-off between having a wide margin and making fewer mistakes in classification.

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