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Forecasting with Decision Trees and Random Forests
Sept. 21, 2022, 6:50 p.m. | Sarem Seitz
Towards Data Science - Medium towardsdatascience.com
Random Forests are flexible and powerful when it comes to tabular data. Do they also work for time-series forecasting? Let’s find out.
Photo by Johann Siemens on UnsplashIntroduction
Today, Deep Learning dominates many areas of modern machine learning. On the other hand, Decision Tree based models still shine particularly for tabular data. If you look up the winning solutions of respective Kaggle challenges, chances are high that a tree model is among them.
A key advantage of tree approaches …
decision editors pick forecasting machine learning random random forests time-series-analysis time series forecasting trees
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