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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…

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Added by Maiia Bakhova on September 6, 2016 at 1:07pm — No Comments

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