Generally speaking, support vector machines are less accurate a prediction method than other approaches such as decision trees and neural networks.

Question

Quizplus · Accepted Answer

This statement is false. Support vector machines are a very powerful and accurate prediction method, and in some cases, can outperform other approaches like decision trees and neural networks. However, the accuracy of results depends on the specific dataset and problem being analyzed.

Generally Speaking, Support Vector Machines Are Less Accurate a Prediction