Machine Learning — Glossary

machine_learning

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Definition

Predictive modelling methods — chiefly random forest — that learn a mapping from feature columns to a target. Evaluated with cross-validated metrics and interpreted through feature importance.

Examples

Predicting carrying capacity from forage and soil variables.

Related terms

Random Forest Model Comparison Feature Importance Cross-Validation Overfitting