# What algorithms does Kraken use to train models?

How many machine learning algorithms does Kraken have and which does it use to train models?

##### Post Metadata
- Posted at: almost 7 years ago
- Net upvotes: 1


## Comments
### Comment 1

By default, Kraken runs several different algorithms based on the Metric selected for predictions. We use algorithms contained in the open-source Python library, scikit-learn. The parameters that are used are scikit-learn's default values for each algorithm.

Binary Classification Models:
 - Random Forest
 - Logistic Regression
 - XGBoost
 - Nearest Neighbors Classification
 - Support Vector Classification
 - Gausian Naive Bayes
 
Regression Models:
 - Linear Regression
 - Random Forest Regression
 - XGB Regressor
 - Nearest Neighbors Regressor
 - Support Vector Regression
 - Stochastic Gradient Descent Regression
 
Multi-Class Classification Models:
 - Random Forest
 - Multinomial Logistic Regression
 - Nearest Neighbors Classification
 - Support Vector Classification 
 - Gausian Naive Bayes

##### Comment Metadata
- Posted at: almost 7 years ago
- Author title: Director of Product Marketing




## Related Product
[Qlik Predict](https://www.g2.com/products/qlik-predict/reviews)

## Related Category
[Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms)

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