首页|'Cutoff Value Optimization For Bias Mitigating Machine Learning Training System With Multi-Class Target' in Patent Application Approval Process (USPTO 202401934 16)
'Cutoff Value Optimization For Bias Mitigating Machine Learning Training System With Multi-Class Target' in Patent Application Approval Process (USPTO 202401934 16)
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The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “Machine learning models may be used to make dec isions based on predictions across various domains such as financial services, h ealthcare, education, human resources, etc. The development and use of machine l earning models provide increased productivity and cost savings and are supported by the ability to collect, aggregate, and process large amounts of data, for ex ample, using cloud computing and the Internet of things (IoT). Machine learning models are trained using the collected and aggregated data to make predictions. The data may include observations related to one or more entities possibly as a function of time. In some cases, the data may be pre-processed in various manner s, for example, to remove incomplete observations. Each entity may be a person o r a business. In some application areas, it is important to understand why a mac hine learning model made a prediction for an observation and whether the predict ion was impacted by any bias.
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