stratified k-fold cross-validation

The stratified k-fold cross-validation is a k-fold cross-validation method in which each fold has a representative sample of data in datasets which exhibit class imbalance.

structured data

Data found in data sources (virtual machines, virtual containers, storage accounts, databases, data wareshouses, data lakes, data marts and data hubs) can be classified into three (3) major categories with regard to the level of structure they present. Unstructured data, i.e data which is in a format that makes it difficult to search, filter, or ... Read more