# Random Forest Algorithm

Skill · Data Science, Analytics and AI/ML

Canonical page: https://career.thegoodapps.co/skills/random-forest-algorithm

Random Forest is a supervised machine learning algorithm that builds an ensemble of decision trees during training and outputs the mode (classification) or mean (regression) of individual trees' predictions. It reduces overfitting compared to a single decision tree by introducing randomness in both data sampling and feature selection. Data scientists and analysts use it widely for classification and regression tasks because it handles nonlinear relationships well and provides feature importance rankings.

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

## Open roles requiring Random Forest Algorithm (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.