Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: AggPro predicts baseball statistics by utilizing a ighted average of predictions provided by several other statistics projection systems. The aggregate projection that is generated is more accurate than any of the constituent systems individually.  explored the granularity at which ights should be assigned by considering four possibilities: a single ight for each projection system, one ight per category per system, one ight per player per system, and one ight per player per category per system.  found that assigning one ight per category per system provides better results than the other options. Additionally,  projected raw statistics directly and compared the results to projecting rate statistics scaled by predicted player usage.  found that predicting rate statistics and scaling by predicted player usage produces better results.  also discuss implementation challenges that  faced in producing the AggPro projections.
['Timothy Highley', 'Ross Gore', 'Cameron Snapp']
I am writing a research paper on a idea Granularity of weighted averages and use of rate statistics in AggPro
[{"from": "human", "value": "I am writing a research paper on a idea Granularity of weighted averages and use of rate statistics in AggPro"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: AggPro predicts baseball statistics by utilizing a ighted average of predictions provided by several other statistics projection systems. The aggregate projection that is generated is more accurate than any of the constituent systems individually.  explored the granularity at which ights should be assigned by considering four possibilities: a single ight for each projection system, one ight per category per system, one ight per player per system, and one ight per player per category per system.  found that assigning one ight per category per system provides better results than the other options. Additionally,  projected raw statistics directly and compared the results to projecting rate statistics scaled by predicted player usage.  found that predicting rate statistics and scaling by predicted player usage produces better results.  also discuss implementation challenges that  faced in producing the AggPro projections."}]