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Not necessarily. They might as well be named attribute_1, attribute_2....attribute_n. ML algorithms don't care about the meaning of the features.
by ergest 13y ago
Not necessarily. They might as well be named attribute_1, attribute_2....attribute_n. ML algorithms don't care about the meaning of the features.
- JFoss117 13y agoThat's true, but to have the best chance of designing a good method/analysis, I need to know what the variables in my analysis mean. Otherwise, it is tougher to make decisions about what variables it makes sense to include in a model, what sorts of transformations make sense, what sort of approaches might work best, etc.
- idm 13y agoI would echo this sentiment. Not only are the columns intentionally mis-labeled but they also appear to be computed, meaning some of the variance inherent to the original sample will have been lost.