Decision Tree Classification

In course

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Description

This lecture covers the implementation of a decision tree classification model using the KNIME Analytics Platform. The instructor demonstrates how to read data, preprocess it, and create a decision tree to predict outcomes. The lecture also includes hands-on exercises on converting categorical variables to numeric, splitting data for training and testing, and evaluating model performance.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_8jrwozna

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Ontological neighbourhood

Computer engineering

Computer data storage: File systems

Information engineering

Machine learning: Decision tree learning

Data science: Topics in data science

Mathematics

Analysis: Numerical analysis

Discrete mathematics: Graph theory

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