Maiia Bakhova's Blog – September 2016 Archive (1)
Measuring Dependence of Variables with Confidence Intervals.
In this post I will sometimes use a term “variable” for “feature”(“predictor”“) or”outcome“(”predicted value“”).
The question of variable dependencies for a particular data is quite important, because it can help to reduce an amount of predictors used for a model. Or it can tell us what feature is not helpful for a model construction, although it still can be used for engineering of another predictor. For example sometimes it is better to compute speed than to use distance values. In…
ContinueAdded by Maiia Bakhova on September 6, 2016 at 1:07pm — No Comments
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