Multivariate Drift Detection

Multivariate data drift detection compliments univariate data drift detection methods. It provides one summary number reducing the risk of false alerts, and detects more subtle changes in the data structure that cannot be detected with univariate approaches. The trade off is that multivariate drift results are less explainable compared to univariate drift results.