Support Vector Machines - Machine Learning Quiz

1. What is the primary goal of Support Vector Machines (SVM)?

To minimize the number of support vectors

To maximize the margin between classes

To reduce the dimensionality of data

To classify data using a decision tree

2. What is the function of the margin in SVM?

To reduce the number of misclassified points

To measure the distance between data points

To separate the closest points from the decision boundary

To maximize robustness to new data points

3. What are support vectors in the context of SVM?

Data points closest to the decision boundary

All data points used for training

The weights of the SVM model

The hyperplane parameters

4. Which real-world application is NOT typically solved using SVM?

Spam detection

Image classification

Dimensionality reduction

Medical diagnosis

5. What happens to the misclassification rate when the margin width increases?

The misclassification rate decreases

The misclassification rate increases

The misclassification rate remains unchanged

The model ignores misclassification

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Quiz 7: Support Vector Machines