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so weamp;#39;ve got a manufacturer of contact lenses and in their current state theyamp;#39;re experiencing a lot of losses on their highspeed line um and theyamp;#39;re increasing over time the challenge has been that traditional RCA methods have not yielded any potential causes so there is an opportunity here to use a classification tree um we are going to try to predict the cases of defects given a set of inputs and then also understand which inputs have the most effect on that pred prediction of a defect so how are we going to set up that data set to make sure that weamp;#39;re able to uh run this classification tree appropriately the first is weamp;#39;re going to determine our response variable so over here on the left weamp;#39;re going to see that inspection result is yes or no yes being it found a defect no being there was no defect found and weamp;#39;re going to organize them into a column of data like so next weamp;#39;re going to determine our input variables um at