Abstract: Embodiments of the invention provide a computer-implemented method that uses a processor system to perform processor system operations. The processor system operations include executing a model-independent selection (MIS) algorithm to select a first data subset from a first dataset based at least in part on one or more data quality metrics. The one or more data quality metrics include a first data quality metric that results from using a first function to map first data points of the first dataset to the first data quality metric. Executing the MIS algorithm to select the first data subset is further based at least in part on sampling the first data subset from the first dataset based on a probability distribution. The processor system operations further include providing the first data subset to a to-be-trained (TBT) model. The first function is independent of a type of the TBT model.