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Select the true statements from the following statements about support vector classifiers in the context of a two-class problem. (Select all that...
Select the true statements from the following statements about support vector classifiers in the context of a two-class problem. (Select all that apply.)
a) Support vector classifiers allow some training observations to be misclassified in order to improve classification for the remaining observations.
b) The tuning parameter for support vector classifiers controls the number of training observations that are allowed to be misclassified.
c) When only a few training observations are allowed to be misclassified the resulting classifier has high bias and low variance; by contrast, when many training observations are allowed to be misclassified the resulting classifier has low bias and high variance.
d) All the training observations determine the fitted support vector classifier.
