Machine Learning
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CatBoost
Quick Definition
Gradient boosting library with native categorical feature support
Full Definition
A gradient boosting library specializing in handling categorical features natively without preprocessing.
Examples
categorical data, ordered boosting, reduced overfitting
Related Terms
xgboost
lightgbm
gradient-boosting
More Machine Learning Terms
Autoencoder
Neural network learning compressed data representations
Lasso Regression
Regularized regression using L1 penalty for feature selection
Boosting
Sequentially combining weak learners correcting previous errors
A/B Testing
Statistical method comparing two versions for performance
AdaBoost
Combining weak classifiers with adaptive sample weighting
Ensemble Learning
Combining multiple models for better predictions