What is the primary goal of a Support Vector Machine?

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Question: What is the primary goal of a Support Vector Machine?

Options:

Correct Answer: To maximize the margin between classes

Solution:

The primary goal of a Support Vector Machine is to find the hyperplane that maximizes the margin between different classes.

What is the primary goal of a Support Vector Machine?

What is the primary goal of a Support Vector Machine?

Step 1: Understand that a Support Vector Machine (SVM) is a type of machine learning model used for classification tasks.
Step 2: Know that classification means separating data into different categories or classes.
Step 3: Visualize the data points as dots on a graph, where each dot represents a data point belonging to a class.
Step 4: A hyperplane is a flat surface that can separate these dots into different classes.
Step 5: The goal of the SVM is to find the best hyperplane that divides the classes with the largest possible gap, called the margin.
Step 6: Maximizing the margin means that the hyperplane is as far away as possible from the nearest data points of each class.

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