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Multicollinearity
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192.
Definition of Multicollinearity
easy
What is multicollinearity in the context of regression models?
A
High correlation among two or more predictor features in a regression model
B
High correlation between the predictor features and the target variable in the training data
C
A violation of the normality assumption caused by non-Gaussian distributions in the feature space
D
The presence of duplicate observations in the training set that inflate the effective sample size
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