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Decision trees are a family of algorithms that are based around a tree-like structure of decision rules. These algorithms often perform well in tasks such as prediction and classification. This lesson explores the properties of tree models in the context of mortality prediction.

The dataset that we will be using for this project is a subset of the eICU Collaborative Research Database that has been created for demonstration purposes.

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Prerequisites

You need to understand the basics of Python before tackling this lesson. The lesson sometimes references Jupyter Notebook although you can use any Python interpreter mentioned in the [Setup][lesson-setup]. {: .prereq}

Getting Started

To get started, follow the directions on the "[Setup][lesson-setup]" page to download data and install a Python interpreter.

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