# Decision Tree Learning

Skill · Data Science, Analytics and AI/ML

Canonical page: https://career.thegoodapps.co/skills/decision-tree-learning

Decision tree learning is a supervised machine learning method that builds a tree-like model of decisions by recursively splitting data based on feature values to predict an outcome or classification. Algorithms like ID3, C4.5, and CART are used to construct these trees by choosing splits that maximize information gain or minimize impurity. Data scientists use it for both classification and regression tasks because the resulting models are interpretable and easy to visualize.

Related skills: [Supervised Learning](https://career.thegoodapps.co/skills/supervised-learning), [scikit-learn](https://career.thegoodapps.co/skills/scikit-learn), [Decision Trees](https://career.thegoodapps.co/skills/decision-trees), [Feature Engineering](https://career.thegoodapps.co/skills/feature-engineering)

## Open roles requiring Decision Tree Learning (0)

None of the roles we have read name this skill yet. A large share of the visible corpus has not been parsed for skills, so this is at least as likely to be our backlog as the market's verdict.