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What is the primary goal of a Support Vector Machine (SVM)?
What is the primary goal of a Support Vector Machine (SVM)?
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Q1
What is the primary goal of a Support Vector Machine (SVM)?
To minimize the error rate
To maximize the margin between classes
To reduce dimensionality
To perform clustering
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The primary goal of an SVM is to maximize the margin between the classes, which helps in achieving better generalization.
Questions & Step-by-step Solutions
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Q
Q: What is the primary goal of a Support Vector Machine (SVM)?
Solution:
The primary goal of an SVM is to maximize the margin between the classes, which helps in achieving better generalization.
Steps: 6
Show Steps
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: Learn that the SVM tries to find a line (or hyperplane in higher dimensions) that separates these classes.
Step 4: Realize that the goal of the SVM is to make this line as far away as possible from the nearest data points of each class.
Step 5: This distance is called the 'margin'. A larger margin means better separation between classes.
Step 6: Understand that maximizing the margin helps the SVM to generalize better, meaning it can make accurate predictions on new, unseen data.
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