2022.01.06
Overview
An apparatus and method for training prediction model are provided. The apparatus classifies a plurality of data into a normal situation data set and a non-normal situation data set, wherein each of the data includes a plurality of first features. The apparatus trains a first prediction model based on the normal situation data set and a plurality of third features among the first features. The apparatus inputs the non-normal situation data set to the first prediction model to generate a first stage prediction value. The apparatus adds the first stage prediction value to the non-normal situation data set. The apparatus trains a second prediction model based on the non-normal situation data set and the first features.Category
發明
Applying
17/647,345
Filing Date
2022.01.06Notification
2023.11.10