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Assessing accuracy of trained predictive models
US9239986B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9239986-B2 |
| Application number | US-201313970791-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 20, 2013 |
| Priority date | May 4, 2011 |
| Publication date | Jan 19, 2016 |
| Grant date | Jan 19, 2016 |
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Abstract
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A system includes a computer(s) coupled to a data storage device(s) that stores a training data repository and a predictive model repository. The training data repository includes retained data samples from initial training data and from previously received data sets. The predictive model repository includes at least one updateable trained predictive model that was trained with the initial training data and retrained with the previously received data sets. A new data set is received. A richness score is assigned to each of the data samples in the set and to the retained data samples that indicates how information rich a data sample is for determining accuracy of the trained predictive model. A set of test data is selected based on ranking by richness score the retained data samples and the new data set. The trained predictive model is accuracy tested using the test data and an accuracy score determined.
First claim
Opening claim text (preview).
What is claimed is: 1. A computer-implemented method comprising: receiving a first data set of data samples by a dynamic predictive modeling server, each data sample comprising input data and corresponding output data, wherein the first data set is new relative to a retained data set of data samples, where each data sample in the retained data set comprising input data and corresponding output data, and where the retained data set was used in training predictive models in a reposi…
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- G06N3/0985Primary
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
- G06N3/08Primary
Physics · mapped topic
- G06N20/00Primary
Physics · mapped topic
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Frequently asked questions
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- What does patent US9239986B2 cover?
- A system includes a computer(s) coupled to a data storage device(s) that stores a training data repository and a predictive model repository. The training data repository includes retained data samples from initial training data and from previously received data sets. The predictive model repository includes at least one updateable trained predictive model that was trained with the initial trai…
- Who is the assignee on this patent?
- Google Inc
- What technology area does this patent fall under?
- Primary CPC classification G06N3/0985. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Jan 19 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).