Inventors
Lekivetz, R.A., Morgan, J.A., Jones, B.A. and Wolfinger, R.D.
Patent Number
U.S. Patent 10,754,764
Date Granted
08/25/2020
Description
A computing device receives data comprising inputs representing a respective option for each of factors in each of test cases. The data comprises a response of the system for each of the test cases. The computing device receives a request requesting an evaluation of the data for generating a model (e.g. a machine learning algorithm) to predict responses based on the factors. The computing device obtains different group identifiers for each of groups for distributing the test cases for the system (e.g., groups of a K-fold cross-validation). The computing device for each of validation(s): generates a data set comprising a respective data element for each of the test cases of the plurality of test cases; and controls assignment of a group identifier of the different group identifiers to each of the respective data elements. The computing device outputs an indication of one or more generated data sets for the validation(s).