# SVM node can't identify true positives and false positives

**URL:** <https://forum.knime.com/t/svm-node-cant-identify-true-positives-and-false-positives/43208>\
**Category:** KNIME Analytics Platform\
**Tags:** machine-learning\
**Created:** [May 20, 2022, 9:52am UTC](https://forum.knime.com/t/svm-node-cant-identify-true-positives-and-false-positives/43208 "2022-05-20T09:52:00Z")\
**Posts on this page:** 1\
**Showing post:** 11

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**Author:** ![mlauber71](https://forum-cdn.knime.com/user_avatar/forum.knime.com/mlauber71/32/73590_2.png) [@mlauber71](https://forum.knime.com/u/mlauber71)\
**Post date:** [June 3, 2022, 2:25pm UTC](https://forum.knime.com/t/svm-node-cant-identify-true-positives-and-false-positives/43208/11 "2022-06-03T14:25:13Z")

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@Soren_Therkel I have uploaded the complete job with the provided data so one could take a look.  
Note. When using H2O.ai GBM the variable Chi2v takes 44% of explaining power! You might want to investigate that.

 ![image](https://forum-cdn.knime.com/uploads/default/original/3X/7/9/79723f2189cff172ebb2127ff0ffb62670900f78.png)

> **[forum question about SVM model and strange results – mlauber71](https://hub.knime.com/mlauber71/spaces/Forum/latest/2022/kn_forum_43208_svm_model_sdf~IRXNCh0xSmgpa9Gw)**
>
> forum question about SVM model and strange results

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