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https://issues.apache.org/jira/browse/IGNITE-8668?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dmitriy Pavlov updated IGNITE-8668:
-----------------------------------
    Fix Version/s:     (was: 2.6)
                   2.7

> K-fold cross validation of models
> ---------------------------------
>
>                 Key: IGNITE-8668
>                 URL: https://issues.apache.org/jira/browse/IGNITE-8668
>             Project: Ignite
>          Issue Type: New Feature
>          Components: ml
>            Reporter: Yury Babak
>            Assignee: Anton Dmitriev
>            Priority: Major
>             Fix For: 2.7
>
>
> Cross validation is a well knows approach that allows to avoid overfitting 
> and therefore improve model quality. K-fold cross validation is based on 
> splitting dataset on _k_ disjoint subsets and using _k-1_ of them as train 
> subset and the remaining subset for test (with all possible combinations).
> The goal of this task is to implement K-fold cross validation based on an 
> ability to filter dataset added recently in IGNITE-8666.



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