A while back I was part of a webcast where somebody asked me to explain the algorithms available in AutoAI.
AutoAI currently includes two types of algorithms. Algorithms for classification and algorithms for regression. Think of classification like a category of movies such as "drama" and comedy". The regression types are there to predict values such as the price of a house given the characteristics. Some models can work on both types of problems.
The classification models available are:
Decision Tree, Extra Trees, Gradient Boosted Tree, LGBM Classifier, Logistic Regression, Random Forest, XGBoost
The regression model are:
Decision Tree, Extra Trees, Gradient Boosting, LGBM, Linear Regression, Random Forest, Ridge, XGBoost
See the following link for more details: AutoAI implementation details
To learn more about ensembles, I suggest you take a look at the following two videos. The first one discusses what ensembles are and the second one compares the ensembles algorithms using two different datasets:
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Jacques Roy
IBM Technology Enablement
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