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
Active Learning
Algorithm selecting most informative data points for labeling
DBSCAN
Density-based clustering finding clusters of varying shapes
Feature Engineering
Creating and transforming input variables to improve performance
Hyperparameter Tuning
Finding optimal configuration values before training
Model Selection
Choosing the best ML model from candidates
PCA
Statistical technique reducing dimensionality via principal components