Quote:
Originally Posted by traynor
Well, so what? If you are using a piece of software (yours or someone else's) that "builds models" using all the races in a specific clump, or all the races that fit a specific set of filters, it might be wise to view the output with a healthy bit of skepticism. Especially those dazzling ROIs that never quite seem to work out when you bet on the recommended patterns.
It is relatively trivial to split data into training sets (to find the patterns) and control sets (to test the patterns). A jillion races is not necessary. Even if you are building models from a few hundred races, it might be much to your advantage to split it into training sets and control sets.
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Quote:
Originally Posted by DeltaLover
The biggest challenge lies in the way your training data are presented in your earning algorithm. Of course the data transformation can also require ML so we can say that the process is recursive to some extend. The size of your training universe is proportional to the features you are going to pass as the deepness of your networks as well.
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I still think you two guys are the same person.