Random Forest
Random Forest is an ensemble of many decision trees whose combined vote produces more robust predictions.
Gradient Boosting
Gradient Boosting is an ensemble technique that builds models sequentially, each correcting the errors of the…
Ensemble Learning
Ensemble Learning is combining multiple models to produce better predictions than any single model alone.
Distillation
Distillation is training a smaller model to mimic a larger one so it runs faster while…
F1 Score
F1 Score is a metric that balances precision and recall to evaluate classification performance.
Precision
Precision is of the items a model flagged as positive, the fraction that were actually correct.