In this week's #TidyTuesday video, I show how to improve a model's predictive power using ensemble learning with the Stacks package. I first go into creating diverse models for stacking and blending #TidyModels using the Recipe package. I create a PCA regression, Spline, RandomForest, and XGBoost model and then use Stacks to stack the model predictions to evaluate Sale Price in the Ames Housing dataset. I then go on to show how to manually create a stacked ensemble model using Tidymodels and create a better ensemble model that outperforms the sub-models and previous stacked ensemble model from the Stacks package.
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Негізгі бет TidyTuesday: Ensembling Tidymodels with Stacks
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