This workshop will cover the basics of how the widely-used machine learning approach, random forest, can be used to solve complex spatial problems and make effective predictions. Learn how the Forest-based Classification and Regression tool enables you to bring together both vector and raster data in powerful ways to solve problems in the areas of both classification (predicting a categorical variable) and regression (predicting a continuous variable). Explore how to evaluate your model using a number of validation techniques and diagnostics.
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