$($a$)$ Consider that I am going to build a model using the following dataset. Assume that I am going to use AdaBoost technique to create the dataset. Draw the train and test datasets separately for two iterations.

$(8MCO5)$

$[$Hint: $1.$ Consider, $60-40$ split up; $2.$ Assume that your model is having only $50\%$ accuracy in the first iteration and $100\%$ accuracy in the second iteration; $3.$ Highlight the incorrect predictions either with different colour or by drawing bow around it$].$

$\backslash$table$[[$SI$.$ No$.,$Acceleration $($in $\%),$Rotation of Tyre $($in km$/$hr$),$Class$],[1.,60,100,$Racing$],[2.,70,120,$Racing$],[3.,75,140,$Racing$],[4.,85,160,$Racing$],[5.,100,180,$Racing$],[6.,120,200,$Racing$],[7.,55,70,$Not Racing$],[8.,45,65,$Not Racing$],[9.,35,40,$Not Racing$],[10.,20,30,$Not Racing$]]$