Training data evaluation system, method, and program
The learning data evaluation system addresses inefficiencies in human judgment by using an uncertainty calculation unit, target selection unit, and trend analysis planning unit to systematically add relevant data to machine learning models, enhancing prediction accuracy.
JP7876429B2Active Publication Date: 2026-06-19HITACHI SOFTWARE ENG
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- HITACHI SOFTWARE ENG
- Filing Date
- 2022-12-08
- Publication Date
- 2026-06-19
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Abstract
To make it possible to effectively and efficiently add training data.SOLUTION: A training data evaluation system includes: an uncertainty calculation unit configured to calculate, based on a prediction value obtained from a machine learning model using evaluation data for evaluating a shortage of training data as an input and a correct answer for the evaluation data, a data shortage degree representing a training data shortage degree for each piece of the evaluation data; a target selection unit configured to extract target data, which is data to be added to the training data, based on a predetermined selection rule and the data shortage degree; and a tendency analysis planning unit configured to specify a tendency of the target data based on a predetermined analysis rule and specify a property of the training data to be added based on the tendency of the target data.SELECTED DRAWING: Figure 1
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