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Instructions: Each question may have any number of correct choices. Clearly mark (tick)

all choices you believe to be correct (1 mark for each correct choice, −0.5 for each incorrect

choice).

For an RBF SVM with a particular pair of randomly chosen values of the hyperparameters C and

γ = 1/2σ

(where σ

is the variance of the RBF kernel), which of the following tests can be taken to

indicate that the chosen values likely correspond to overfitting?

When I decrease C the training accuracy reduces, but validation accuracy increases.

✅

When I decrease γ the number of support vectors reduces.

✅

When I increase γ the training accuracy increases, but validation accuracy reduces.

✅

When I decrease γ the training accuracy reduces, but validation accuracy increases.

✅

When I increase C the training and validation accuracies both increase.

✅

When I decrease C the training and validation accuracies are both reduced.

✅

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