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Please share your opinion and let us know how to make better predictions for the following problems. Also how do you define better?
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It would be interesting to predict #16 Risk of car accident within the next 12 months for a particular individual
Regarding #11, I wasn't able to find the references, but I read about models doing correct predictions in few cases, giving probabilities of occurring events in a given area considering what happened in the neighboring. I know such models are now used somewhere in the United States by police officers to to "optimize" their patrol around predicted hot points.
I think economics and medical problems are the hardest, so I would say 7 then 6 12 and 19, since they are affected by non-measurable parameters.
I would add a last one thing to reach a round figure :
20. Long Term Demographic projections...?
I hope it's 18 because I was continually rejected on interviews for a long time based on my social struggles even though I knew I would perform the job very well if given the opportunity.
I also think 11 is hard to predict. Consider how unprecedented September 11th was.
I think it depends on organization . Each time the challenge lie in different part of analytics solution : data or algorithm issue. I mean , for example , paragraph 10 can be the easiest and hardest in two different organizations.
You can talk about aggregated measure based on existing practices . May be it's worth to run an appropriate survey.
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