ML modules in SmartPredict
Last updated
Was this helpful?
Last updated
Was this helpful?
To help you complete your Machine Learning projects from end to end, SmartPredict studio provides the state-of-the-art of ML algorithms.
The ML modules are parameterizable at will and are insured to cover all the granularity of your projects.
SmartPredict' s toolbox contains various ML modules, made of regressors and classifiers from decision tree regressor to XGBoost Regressor.
Decision Tree Regressor
KNeighbors Classifiers
KNeighbors Regressor
Linear Regressor
Logistic Regressor
MLP Regressor
Naive Bayes
Random Forest Classifier
Random Forest Regressor
Support Vector Classifier
Support Vector Regressor
XGBoost Classifier
XGBoost Regressor
More information on supervised learning such as details on the Nearest Neighbors or Support Vector machines are well-documented in the official .