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decision tree
This term operates across two primary domains: strategic planning and computer science. In a business or psychological context, it serves as a visual aid for risk assessment and strategic mapping, allowing a user to trace a path from a starting point to various outcomes based on specific choices.
In the context of machine learning, it refers to a specific algorithmic structure used for classification and regression. While the visual representation remains similar to the business tool, the machine learning version is an automated model that derives its logic from training data rather than human intuition.
Meanings
Examples
We should create a decision tree to map out all possible outcomes of this merger.
The algorithm uses a decision tree to classify the incoming emails as spam or not.
Let's use a decision tree to simplify the customer support workflow.
I wonder if a decision tree is the best model for this specific dataset.
The consultant presented a complex decision tree to help us choose the new site.
A decision tree makes it easy to see exactly why the model reached that conclusion.
Just follow the decision tree and you will find the correct troubleshooting step.
The software implements a random forest which is essentially a collection of decision trees.
The software implements a random forest which is essentially a collection of decision trees.