CatBoost
ml_framework
Overview
Developed byYandex
Founded2017
LicenseApache 2.0
Open source✓ Open Source
Use casegradient boosting with native categorical feature support
Technical
API compatible
Integrates with
Knowledge graph stats
Claims33
Avg confidence93%
Avg freshness100%
Last updatedUpdated yesterday
WikidataQ55656976
Trust distribution
100% unverified
Governance
Not assessed
CatBoost
product
Yandex gradient boosting library with built-in categorical feature handling
Compare with...pricing model
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| open source | ○Unverified | High | Fresh | 1 |
| free | ○Unverified | High | Fresh | 1 |
based on
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| gradient boosting | ○Unverified | High | Fresh | 1 |
| decision trees | ○Unverified | High | Fresh | 1 |
| gradient boosting decision trees | ○Unverified | High | Fresh | 1 |
alternative to
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| XGBoost | ○Unverified | High | Fresh | 1 |
primary use case
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| gradient boosting with native categorical feature support | ○Unverified | High | Fresh | 1 |
| gradient boosting machine learning | ○Unverified | High | Fresh | 1 |
open source
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| true | ○Unverified | High | Fresh | 1 |
license type
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Apache 2.0 | ○Unverified | High | Fresh | 1 |
| Apache License 2.0 | ○Unverified | High | Fresh | 1 |
developed by
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Yandex | ○Unverified | High | Fresh | 1 |
| Yandex | ○Unverified | High | Fresh | 1 |
api compatible with
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| scikit-learn | ○Unverified | High | Fresh | 1 |
integrates with
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Python | ○Unverified | High | Fresh | 1 |
| scikit-learn | ○Unverified | High | Fresh | 1 |
| R | ○Unverified | High | Fresh | 1 |
| Jupyter Notebook | ○Unverified | High | Fresh | 1 |
| Apache Spark | ○Unverified | Moderate | Fresh | 1 |
| TensorBoard | ○Unverified | Moderate | Fresh | 1 |
supports task type
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| classification | ○Unverified | High | Fresh | 1 |
| regression | ○Unverified | High | Fresh | 1 |
| ranking | ○Unverified | Moderate | Fresh | 1 |
supports language
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Python | ○Unverified | High | Fresh | 1 |
| R | ○Unverified | High | Fresh | 1 |
| Java | ○Unverified | Moderate | Fresh | 1 |
supports model
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| classification | ○Unverified | High | Fresh | 1 |
| regression | ○Unverified | High | Fresh | 1 |
| ranking | ○Unverified | High | Fresh | 1 |
specialized for
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| categorical features | ○Unverified | High | Fresh | 1 |
competes with
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| XGBoost | ○Unverified | Moderate | Fresh | 1 |
| LightGBM | ○Unverified | Moderate | Fresh | 1 |
founded year
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| 2017 | ○Unverified | Moderate | Fresh | 1 |