CPC G06N 5/04 (2013.01) [G06F 16/2379 (2019.01); G06N 20/00 (2019.01); G06Q 10/06315 (2013.01)] | 20 Claims |
1. A method for training a machine learning model, the method comprising:
segmenting, by a processor, a dataset from a database into one or more datasets based on time period windows;
assigning, by the processor, one or more weighted values to the one or more datasets according to the time period windows of the one or more datasets;
generating, by the processor, a training dataset from the one or more datasets, wherein an amount of data generated from the one or more datasets is based on the one or more weighted values; and
training, by the processor, the machine learning model using the training dataset.
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