Multicollinearity
Artificial Intelligence
When Predictors Collide: Mastering VIF in Multicollinear Regression
In models, the independent variables have to be not or only barely depending on one another, i.e. that they are usually not correlated. Nevertheless, if such a dependency exists, that is known as...
Artificial Intelligence
Detection of Multicollinearity in Data sets using Statistical Testing.
Detecting multicollinearity in data sets is a crucial step but additionally difficult. I'll show the way to detect variables with similar behavior in mixed data sets and the way to deeper examine the relationships...
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