An advantage of SVM models is that they tend to take less time to develop compared to other predictive models.

Name: An advantage of SVM models is that they tend to take less time to develop compared to other predictive models.
Brand: Quizplus
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Question

Quizplus · Accepted Answer

SVM models require more preprocessing and tuning, and the selection of the kernel function and parameters can be time-consuming. Therefore, it may take longer to develop SVM models than other predictive models like decision trees or random forests.

An Advantage of SVM Models Is That They Tend to Take