Which Of The Following Statements Is Not True About Soft Svm #376
Which of the following statements is not true about Soft SVM classification?
This multiple choice question (MCQ) is related to the book/course
gs gs126 Neural Networks.
It can also be found in
gs gs126 Support Vector Machines - Soft SVM and Norm Regularization - Quiz No.1.
Which of the following statements is not true about Soft SVM classification?
If the data are non separable it needs to introduce some tolerance to outlier data points
If the data are non separable, slack variable can be added to allow misclassification of noisy examples
If the data are non separable it will add one slack variable greater than or equal to zero for each training data point
The slack variable value is greater than one for the points that are on the correct side of the margin
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