Abstract: The present invention provides a method and system for classifying data items using enriched data models, and more particularly using multiple number of small sized data models for achieving higher percentage of classification. The present invention is particularly directed to data model building and classification technology. The training set used to generate data model is partitioned into at least two small sized training sets for data model generation and enrichment process. The blind data set is subjected to the sequence of resulted enriched data models resulting in a high classification percentage.