Multilevel Modelling in Machine Learning: Undoing the Data Knots

Multilevel modeling can be used to handle clustered or grouped data. Data with repeated measures can also be analyzed using multilevel modelling. The MLM is used to examine individuals embedded within regions or countries. It allows regression equations at the level of the individual and the estimation of inter-individual differences in intra-individual change over time by modelling the variances and covariances. An MLM in machine learning can be applied to the parameters that vary at more than one level.