Posted On: Apr 02, 2020
Collinearity is the association between two explanatory variables while the multicollinearity is the linear related association between two or more explanatory variables. Collinearity occurs when two predictor variables have a non-zero correlation in multiple regression. Non-collinearity occurs when two or more predictor variables are inter-correlated.
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Supervised and unsupervised are the two types of Machine learning algorithms available. In the supervised type, the algorithms are applied to the known labeled data to formulate a model. Labeled data...