Consider the following one$-$dimensional training data set, $\text{'}x\text{'}$ denotes negative examples and $\text{'}$o$\text{'}$ positive examples. The exact data points and their labels are given in the table.

Suppose a SVM is used to classify this data. Indicate which are the support vectors and mark the decision boundary. Give the value of the cost function and of the model parameters after training.