Global Data Science Forum

What are ensembles models?

  • 1.  What are ensembles models?

    Posted Mon February 08, 2021 11:41 AM
    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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