SVM and Data Analysis Quiz

What does SVM aim to find?

• The best hyperplane that separates data points

• The average of all data points

• The minimum distance between data points

• The fastest algorithm for classification

Which kernel type is most commonly used for non-linear data?

• Linear

• Sigmoid

• RBF (Gaussian)

• Polynomial

What does a small value of C in SVM indicate?

• A perfect classification of all training data

• No effect on the model

• A smaller margin and risk of overfitting

• A larger margin and better generalization

What can a scatterplot help to identify?

• Outliers and correlations between variables

• The best hyperplane for classification

• Only the average of data points

• The exact values of each data point

What is parameter tuning in the context of SVM?

• Finding the fastest algorithm for classification

• Adjusting a model’s hyperparameters for optimal results

• The process of selecting the best training data

• Eliminating outliers from the dataset