# Identifying most important attributes from my classifier

**URL:** <https://forum.knime.com/t/identifying-most-important-attributes-from-my-classifier/28669>\
**Category:** KNIME Analytics Platform\
**Tags:** labs\
**Created:** [November 13, 2020, 12:33pm UTC](https://forum.knime.com/t/identifying-most-important-attributes-from-my-classifier/28669 "2020-11-13T12:33:43Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![ipazin](https://forum-cdn.knime.com/user_avatar/forum.knime.com/ipazin/32/806_2.png) [@ipazin](https://forum.knime.com/u/ipazin)\
**Post date:** [November 13, 2020, 12:55pm UTC](https://forum.knime.com/t/identifying-most-important-attributes-from-my-classifier/28669/2 "2020-11-13T12:55:16Z")

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Hello @DalimZr,

Welcome to KNIME Commuity!

In case of feature importance in Decision Tree algorithm see here:

> [@Understand Tree Decision](https://forum.knime.com/t/understand-tree-decision/28276):
>
> Hello I am starting with Knime and I have created a workflow to evaluate different calcification algorithms. For my data, the best is Tree because a I have a good accuracy. My question is related about how can I understand the algorithm, and what are the fields of my data that have more influence in the prediction. I am trying to determine if a customer is going to leave the company and I have 50 fields in my database, but I don´t know what are more important fields to decide that a customers…

There are couple of links to click and topics read 😉

Br,  
Ivan

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