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

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# categoricalInformationValue {#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`.