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2021.10.15

APPARATUS AND METHOD FOR TRAINING PREDICTION MODEL

Taiwan, Province of China

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.