ClickHouse/docs/en/sql-reference/aggregate-functions/reference/categoricalinformationvalue.md

---
slug: /en/sql-reference/aggregate-functions/reference/categoricalinformationvalue
sidebar_position: 115
title: categoricalInformationValue
---

Calculates the value of `(P(tag = 1) - P(tag = 0))(log(P(tag = 1)) - log(P(tag = 0)))` for each category.

``` sql
categoricalInformationValue(category1, category2, ..., tag)
```

The result indicates how a discrete (categorical) feature `[category1, category2, ...]` contribute to a learning model which predicting the value of `tag`.
[docs] split aggregate function and system table references (#11742) * prefer relative links from root * wip * split aggregate function reference * split system tables 2020-06-18 08:24:31 +00:00			`---`
add slugs 2022-08-28 14:53:34 +00:00			`slug: /en/sql-reference/aggregate-functions/reference/categoricalinformationvalue`
organise aggregate function sidebar alphabetically 2024-06-24 11:52:30 +00:00			`sidebar_position: 115`
replace symlinks 2022-08-28 21:34:50 +00:00			`title: categoricalInformationValue`
[docs] split aggregate function and system table references (#11742) * prefer relative links from root * wip * split aggregate function reference * split system tables 2020-06-18 08:24:31 +00:00			`---`

			Calculates the value of `(P(tag = 1) - P(tag = 0))(log(P(tag = 1)) - log(P(tag = 0)))` for each category.

			``` sql
			`categoricalInformationValue(category1, category2, ..., tag)`
			```

			The result indicates how a discrete (categorical) feature `[category1, category2, ...]` contribute to a learning model which predicting the value of `tag`.