ML SVM quiz

What is the main objective of Support Vector Machines (SVM)?

• To minimize the separation between data points

• To ignore the training features

• To maximize the number of support vectors

• To find an optimal boundary between the possible outputs

Which kernel function is NOT commonly used in SVM?

• Polynomial

• Radial Basis Function (RBF)

• Linear

• Exponential

How does SVM handle multiclass classification?

• By directly supporting multiclass classification

• By breaking down the problem into multiple binary classification problems

• By using clustering algorithms

• By ignoring the class labels

What is the One-to-Rest approach in multiclass classification using SVM?

• A binary classifier per each pair of classes

• A regression analysis

• A binary classifier per each class

• A clustering algorithm

Which real-world problem is commonly solved using multiclass classification with SVM?

• Predicting weather patterns

• Classifying news articles

• Identifying spam emails

• Detecting credit card fraud

What are Support Vectors in SVM?

• Data points with the minimum distance to the hyperplane

• Data points with the average distance to the hyperplane

• Data points with no relation to the hyperplane

• Data points with the maximum distance to the hyperplane

What is the purpose of the kernel function in SVM?

• To perform complex data transformations

• To remove outliers from the data

• To decrease the dimensionality of the data

• To increase the complexity of the data

How many SVMs are used in the One-to-Rest approach for m classes data set?

• m

• m-1

• m(m-1)/2

• 2m