2020.06.05
Overview
A method and a system for multilayer modeling are provided. The system includes a processing unit, and a model creating and training unit. The processing unit is used to obtain an original data from a storage unit, obtain a plurality of data sets of basic combinations, a plurality of data sets of partial combinations and a data set of full combination from the original data according to a plurality of categorical variables of the original data, and divide each of the plurality of data sets of basic combinations, each of the plurality of data sets of partial combinations and the data set of full combination into a training data set, a validation data set and a testing data set to obtain a plurality of training data sets, a plurality of validation data sets and a plurality of testing data sets. The model creating and training unit is used to create a plurality of models according to the plurality of training data sets. The plurality of data sets of the basic combinations are data sets in which each of the categorical variables is a specific attribute value, and the plurality of data sets of the partial combinations are data sets in which at least one of the categorical variables is an arbitrary attribute value, and does not include each of the categorical variables is an arbitrary attribute value, and the data set of full combination is the data set in which each of the categorical variables is an arbitrary attribute value.Category
發明
Patented
109118988
發明第I740529號
Filing Date
2020.06.05Expired Date
2040.06.04Notification
2022.10.27