Assume we are trained two models using linear SVM with soft margins. One with C = 1 and another with C = 10. Which of the following statements are true? C=1 has larger margin than C=10 C=10 has larger margin than C=1 If data is linearly separable, C=1 training error is lower than or equal to C=10 If data is linearly separable, C=10 training error is lower than or equal to C=1 If data is linearly separable, C=10 and C=1 both training error of zero

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Assume we are trained two models using linear SVM with soft margins. One with
C = 1 and another with C = 10. Which of the following statements are true?
C=1 has larger margin than C=10
C=10 has larger margin than C=1
If data is linearly separable, C=1 training error is lower than or equal to C=10
If data is linearly separable, C=10 training error is lower than or equal to C=1
If data is linearly separable, C=10 and C=1 both training error of zero
Transcribed Image Text:Assume we are trained two models using linear SVM with soft margins. One with C = 1 and another with C = 10. Which of the following statements are true? C=1 has larger margin than C=10 C=10 has larger margin than C=1 If data is linearly separable, C=1 training error is lower than or equal to C=10 If data is linearly separable, C=10 training error is lower than or equal to C=1 If data is linearly separable, C=10 and C=1 both training error of zero
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