Q. When you are developing a model, where should you spend most of your time?
regression and decision tree models
b) Interpreting the result
c) Data preparation
d) Beautifying the model flow
Q. You have built a Neural Nets model using a rich data set. In the summary output, you learn that it has 3 inputs, and 3 hidden nodes. How many total weights does this NN model have?
e) None of the above
Q. If you are starting a BI function in your company, how would you go about introducing the predictive analytics component of your function so that other business partners can buy in to the results from the predictive models?
Why are assumptions important in developing a robust predictive model?
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