When using support vector machines, in which stage do you transform the data?
A) preprocessing the data
B) developing the model
C) experimentation
D) deploying the model

Question

Quizplus · Accepted Answer

Preprocessing the data is an essential step when using support vector machines, as SVMs require the input data to be transformed to the appropriate format. This may include scaling, normalization, or feature selection, among other techniques. The transformed data can then be used to train and develop the SVM model, experiment with different parameters and configurations, and finally deploy the model for prediction on new unseen data.

When Using Support Vector Machines, in Which Stage Do You