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5. (15 points) You work for a manufacturer who 3D prints aircraft turbine blades. During research and development, the manufacturer created and stress tested 100

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5. (15 points) You work for a manufacturer who 3D prints aircraft turbine blades. During research and development, the manufacturer created and stress tested 100 prototype blades, while measuring: 1,412 surface, interior, and chemical variables (S1, ...,S1412) The total time Teto a catastrophic failure The manufacturer wants to develop a cost effective inspection protocol to predict catastrophic failure. a. If you were to approach this as a regression problem, describe the mathematical form of your model in terms of the variables we listed above. (5 points) Your answer here b. If you were to approach this as a binary classifier to predict whether a blade will fail within 100 hours of operation, how would you modify your data to create appropriate labels? (3 points) Your answer here c. Would it be appropriate to use all 1,412 features to train your model? (2 points) Your answer here d. Suppose the manufacturer wants the final inspection protocol to only use a maximum of 10 features. Describe how you would apply the methods from this class to prioritize the 10 best measurements to use. (5 points) Your answer here 5. (15 points) You work for a manufacturer who 3D prints aircraft turbine blades. During research and development, the manufacturer created and stress tested 100 prototype blades, while measuring: 1,412 surface, interior, and chemical variables (S1, ...,S1412) The total time Teto a catastrophic failure The manufacturer wants to develop a cost effective inspection protocol to predict catastrophic failure. a. If you were to approach this as a regression problem, describe the mathematical form of your model in terms of the variables we listed above. (5 points) Your answer here b. If you were to approach this as a binary classifier to predict whether a blade will fail within 100 hours of operation, how would you modify your data to create appropriate labels? (3 points) Your answer here c. Would it be appropriate to use all 1,412 features to train your model? (2 points) Your answer here d. Suppose the manufacturer wants the final inspection protocol to only use a maximum of 10 features. Describe how you would apply the methods from this class to prioritize the 10 best measurements to use. (5 points) Your answer here

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