#test Why multicollinearity of features is not ok for ML? An | Big Data Science

#test
Why multicollinearity of features is not ok for ML?

Anonymous Quiz

13%

It is too hard to define dependent variables in learning dataset

64%

It reduces reliability of results and speed of calculations with raise of the scope of feature space

It reduces confidence intervals

15%

It increases the complexity of Ml-algorithms

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