What is the primary goal of SVM in classification tasks?

What is the primary goal of SVM in classification tasks?

Step 1: Understand that SVM stands for Support Vector Machine, which is a type of algorithm used for classification tasks.
Step 2: Know that in classification, we want to separate different classes (groups) of data points.
Step 3: Visualize the data points on a graph, where each point belongs to a class (like circles and squares).
Step 4: The SVM algorithm finds a line (or hyperplane in higher dimensions) that best separates these classes.
Step 5: The primary goal of SVM is to maximize the margin, which is the distance between the closest points of the different classes to this line.
Step 6: A larger margin means better separation, which helps the SVM make more accurate predictions.

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