Karael Alvarez, the management accountant at Wyatt Manufacturing, is reviewing defective products factory and has a defe

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Karael Alvarez The Management Accountant At Wyatt Manufacturing Is Reviewing Defective Products Factory And Has A Defe 1 (120.57 KiB) Viewed 25 times

Karael Alvarez, the management accountant at Wyatt Manufacturing, is reviewing defective products factory and has a defect rate of 20%. Workers' experience (measured in years) and the level of mac contribute to defects. Wyatt produced 40 units of which 8 are defective (40 x 0.2= 8). Rafael selects decision tree using this dataset. (Click the icon to view the plot of the data and the first cut.) Read the requirements. Machine R1 R2 Total Good (blue) Defective (red) . Total Calculate the Gini impurity for R1 for this cut. You will be asked to calculate the Gini impurity for R2 a X.XXX.) . . Gini Impurity 0 6 9 12 15 Years of Worker Experience R1 R2 Weighted average Print Done Requirement b. Consider other values on the x-axis (experience) or y-axis (level of automation) whe misclassifications. OA. A cut on the experience x = 12 would result in fewer than three misclassifications. A cut here. OB. No other first cut on the experience or automation dimension has fewer than three misclassifications. No cut creates a greater reduction in Gini impurity. O C. No other first cut on the experience or automation dimension has fewer than three misclassifications, but there are alternate ways of making cut 1 to create a greater reduction in Gini impurity. OD. A cut on the level of automation y = 1 would result in fewer than three misclassifications. A cut here, rather than at y = 1.95 would create a further reduction in Gini impurity. Graph/chart Level of Machine Automation 0 3 · Defect: Good: • • . CUT 1 y = 1.95 . 18 21 I cross different machines in the pothesizes that these two factors 6 observations. He then builds a als to three decimal places, ion that has fewer than three