International Business Machines Corporation
Predictive accuracy of classifiers using balanced training sets

Abstract:

In an approach to improving the predictive accuracy of classifiers, one or more computer processors calculate one or more training set statistics. The one or more computer processors generate one or more balanced training sets based on one or more calculated training set statistics. The one or more computer processors train one or more cognitive models utilizing one or more unbalanced training sets and one or more generated balanced training sets. The one or more computer processors determine a fitness of the one or more trained cognitive models. The one or more computer processors adjust one or more training sets based on the determined fitness of the one or more cognitive models.