CPC G06N 20/20 (2019.01) [G06F 18/2115 (2023.01); G06F 18/2193 (2023.01); G06F 18/285 (2023.01); G06F 18/40 (2023.01); G06N 20/00 (2019.01)] | 10 Claims |
1. A computing system for predicting and scoring a data model comprising:
a processing unit;
a memory operatively coupled to a system bus that couples the memory to the processing unit, wherein the memory receives a plurality of data sets and stores the plurality of data sets which are directed to the processing unit for prediction and scoring of the data model, wherein the processing unit is configured for:
selecting one or more variables based on a plurality of parameters;
applying feature engineering and transformation on one or more variables to extract a plurality of features from the plurality of data sets;
building new data model based on the plurality of features;
evaluating a classification technique to select a right machine learning model based on a plurality of elements;
predicting a newly built data model based on an evaluated classification technique; and
scoring the predicted data model; and
a display model operatively coupled to the processing unit and configured to present the predicted and scored data model in one or more forms.
|