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
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Probabilistic classifier using Bayes theorem with independence
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Identifying the most relevant features for model training
Hyperparameter Tuning
Finding optimal configuration values before training
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DBSCAN
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