File:Info Gain Splitting the Child Node(s) Example.png
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Summary
| Description |
English: A decision tree is split based on information gain and a mutation at each node that is not pure. All of the samples that are used to split the node are passed on to the child nodes based on if they have the mutation for the parent or not. |
| Date | |
| Source | Own work |
| Author | Js075616 |
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 20:50, 28 November 2021 | | 361 × 511 (23 KB) | Js075616 | Uploaded own work with UploadWizard |
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