Generating a prediction function using a genetic algorithm and a reduced number of factors
Abstract:
A system to reduce the number of factors that need to be considered in generating a prediction function includes an access module and a function generator module. The access module accesses a reduced set of factors derived from an original set of factors based at least in part on correlations between the factors of the original set. The function generator module generates, based on the reduced set of factors and a data set associated therewith, a plurality of potential prediction functions that operate on the data set to predict a result, evaluates performance of each one from the plurality of potential prediction functions, and selects a solution prediction function based on the evaluated.
Information query
Patent Agency Ranking
0/0