What is the effect of increasing the regularization parameter (C) in SVM?

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Question: What is the effect of increasing the regularization parameter (C) in SVM?

Options:

Correct Answer: Decreases the margin width

Solution:

Increasing the regularization parameter (C) decreases the margin width, allowing the model to fit the training data more closely.

What is the effect of increasing the regularization parameter (C) in SVM?

What is the effect of increasing the regularization parameter (C) in SVM?

Step 1: Understand what SVM (Support Vector Machine) is. It is a type of machine learning model used for classification tasks.
Step 2: Learn about the regularization parameter (C). It controls how much we want to avoid misclassifying training examples.
Step 3: Know that a small value of C allows for a wider margin, meaning the model can ignore some misclassifications.
Step 4: Realize that increasing the value of C makes the model focus more on correctly classifying all training examples.
Step 5: Understand that as C increases, the margin width decreases, which means the model fits the training data more closely.
Step 6: Conclude that a higher C can lead to a more complex model that may not generalize well to new data.

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