Consider the following Iris dataset with just two features $($petal length and petal breadth$)$ and the three classes $($Setosa$,$ Versicolor and Virginica$).$

$\backslash$table$[[$#$,\backslash$table$[[$Petal$],[$Length$]],\backslash$table$[[$Petal$],[$Breadth$]],$Class$],[1,5\mathrm{.}6,2\mathrm{.}5,$Iris$-$Virginica$],[2,5\mathrm{.}1,2\mathrm{.}3,$Iris$-$Virginica$],[3,1\mathrm{.}3,0\mathrm{.}2,$Iris$-$Setosa$],[4,4\mathrm{.}5,1\mathrm{.}5,$Iris$-$Versicolor$],[5,1\mathrm{.}6,0\mathrm{.}5,$Iris$-$Setosa$],[6,5\mathrm{.}1,2\mathrm{.}4,$Iris$-$Virginica$],[7,5\mathrm{.}8,2\mathrm{.}6,$Iris$-$Virginica$],[8,1\mathrm{.}4,0\mathrm{.}3,$Iris$-$Setosa$],[9,1\mathrm{.}5,0\mathrm{.}3,$Iris$-$Setosa$],[10,4\mathrm{.}4,1\mathrm{.}3,$Iris$-$Versicolor$]]$

Build multi$-$class classification models with $($a$)$ Support Vector Machine $($SVM$)$ and $($b$)$ Linear Discriminant Analysis $($LDA$),$ and classify the following test record with both SVM and LDA:

Test Record $,$ Petal length $=2,$ Petal breadth $=0\mathrm{.}5$

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